IT, Data & Development

Best Observability Tools in 2026

Twelve observability platforms for metrics, logs and traces in 2026, ranked by signal coverage, published pricing and deployment flexibility.

Observability tools collect and correlate the telemetry that running software emits, chiefly metrics, logs and distributed traces, so that engineers can understand why a system behaves as it does rather than only whether it is up. Modern platforms add continuous profiling, real user monitoring, synthetic tests and service-level objectives, and most now accept data in the vendor-neutral OpenTelemetry format.

This list covers twelve commercially available observability platforms in November 2026, from full-suite vendors such as Datadog and Dynatrace to open-source-based services such as Grafana Cloud and SigNoz. Each entry records published pricing as shown on the vendor's own pricing page, ownership changes such as Cisco's purchase of Splunk and Palo Alto Networks' purchase of Chronosphere, and documented limitations.

Contents
  1. What is an observability tool
  2. History and market
  3. Key features to compare
  4. Pricing models
  5. How to choose
  6. Methodology
  7. The list
  8. Comparison table
  9. Alternatives by use case
  10. Recent developments
  11. Frequently asked questions
  12. See also

What is an observability tool

An observability tool ingests telemetry from applications and infrastructure, stores it, and lets engineers query, visualise and alert on it. The three classic signals are metrics (numeric time series such as CPU use or request rate), logs (timestamped text or structured records) and traces (the path of a single request across services). A platform becomes an observability platform, rather than a monitoring dashboard, when it can correlate these signals and answer questions that were not anticipated when the dashboards were built, typically by supporting high-cardinality queries on attributes such as customer, region or build.

The category overlaps with several adjacent ones. Application performance monitoring (APM) is the trace-centric subset focused on code-level latency and errors. Log management software and SIEM software store logs, the latter for security detection. Network monitoring software and RMM software watch devices and endpoints rather than distributed applications, and incident management software handles paging and response after an alert fires. Many observability vendors now sell into all of these adjacent markets, which is why product boundaries are blurring.

History and market

Commercial monitoring began with server and network tools such as Nagios, followed by agent-based APM products from vendors including New Relic, AppDynamics and Dynatrace. The shift to containers and microservices made host-level checks insufficient and pushed vendors towards distributed tracing and high-cardinality analytics; Honeycomb and others promoted the term observability, borrowed from control theory, for that approach. Open-source projects became central: Prometheus for metrics, Grafana for dashboards (created by Torkel Ödegaard in December 2013), and OpenTelemetry, a Cloud Native Computing Foundation project that standardises instrumentation so that data can be sent to any back end.

The market has consolidated sharply. Francisco Partners and TPG took New Relic private on 8 November 2023 for about US$6.5 billion in equity. Cisco completed its roughly US$28 billion acquisition of Splunk on 18 March 2024, adding Splunk Observability Cloud to the AppDynamics business it already owned. Palo Alto Networks completed the acquisition of Chronosphere on 29 January 2026, rebranding it within its Cortex security platform, and Dynatrace completed its purchase of Arize, an AI observability company, on 1 October 2026. The pattern is that security and networking vendors are buying observability capability, and observability vendors are extending into monitoring of AI models and agents.

Key features to compare

Signal coverage

Check which of metrics, logs, traces, profiles, real user monitoring and synthetics are native and which require a second product or contract. Splunk, for example, keeps logs on its separate Splunk Platform.

OpenTelemetry support

Native OpenTelemetry ingestion keeps instrumentation portable. Grafana Cloud, Honeycomb and SigNoz are built around it; agent-led platforms support it alongside proprietary agents.

Query model and cardinality

The ability to filter and group by high-cardinality attributes determines how quickly novel incidents can be debugged. Event-based stores such as Honeycomb's are designed for this; pre-aggregated metric stores may limit it or charge per custom series.

Automatic instrumentation and topology

Dynatrace's OneAgent discovers processes and dependencies automatically; open-source stacks usually rely on manual or library-level instrumentation.

Data tiering and retention

Separating ingest from indexing or retention, as Datadog's Flex Logs, Coralogix's pipelines and Elastic's retention pricing do, is the main lever on log costs.

Deployment options

Some buyers need self-hosting or bring-your-own-cloud for data residency. Grafana Labs, Elastic and SigNoz offer self-managed paths.

Alerting, SLOs and incident workflow

Service-level objectives, on-call scheduling and incident timelines reduce the need for separate paging tools; Grafana Cloud IRM and Better Stack include them.

Pricing models

Vendors in this list use five main pricing units. Per host: Datadog infrastructure from US$15 per host per month annually and Splunk Observability Cloud from US$15 to US$75 per host by edition. Per memory or hour: Dynatrace bills full-stack monitoring at US$0.01 per memory-GiB-hour, equal to US$58 per month for an 8 GiB host. Per GB of data: New Relic at US$0.40 per GB after 100 free GB, Elastic from US$0.07 per GB, SigNoz at US$0.30 per GB. Per event or unit: Honeycomb sells event allowances from US$150 per month and Coralogix sells units worth US$1.50. Per user seat: New Relic's full-platform users cost US$349 per month on Pro, and Better Stack's responders US$29.

In practice most bills combine two or more of these units. Logs are usually the largest variable cost, and the price of retaining searchable logs for 15 to 30 days differs far more between vendors than the headline ingest rate. Free tiers range from Datadog's five Basic hosts to New Relic's 100 GB per month and Grafana Cloud's 50 GB per signal.

How to choose

Start-ups and small teams generally start on a free tier: Grafana Cloud, New Relic and Honeycomb offer the most usable permanent allowances, while Better Stack adds uptime checks and on-call in one product. Teams that want to own their data can self-host SigNoz or the Grafana stack.

Mid-sized cloud-native companies with Kubernetes estates usually compare Datadog, Grafana Cloud and New Relic; the choice often turns on whether the bill is driven more by hosts, data volume or engineers.

Large enterprises with hybrid infrastructure, mainframes or strict compliance tend to shortlist Dynatrace, Splunk Observability Cloud and Datadog Enterprise, and those already invested in Splunk logs gain the most from Splunk's integration. Organisations whose main problem is telemetry volume and cost should look at Chronosphere's pipeline, Coralogix tiering or Elastic's low retention pricing. Security teams that also need SIEM capability may prefer Sumo Logic or Splunk.

Methodology

Products were selected from vendors that sell a commercially supported platform covering at least two of metrics, logs and traces, publish product documentation in English, and were operating under the stated name in November 2026. Ranking weighs, in order: breadth of native signal coverage; maturity of APM and correlation features as documented on vendor pages; transparency of published pricing; deployment flexibility (self-hosted, bring-your-own-cloud, regions); and ownership stability. Prices were taken from each vendor's pricing page in November 2026 and are list prices in US dollars before discounts. No hands-on benchmark, user survey or review score was used, and none is implied.

The list

1

Datadog

Best for: Cloud-native teams that want one vendor for metrics, traces and logs

Datadog is a software-as-a-service monitoring and security platform co-founded by Olivier Pomel, its chief executive, and Alexis Lê-Quôc, its chief technology officer. It began as an infrastructure-metrics service and has since added application performance monitoring (APM), log management, real user monitoring, synthetic testing, database monitoring, cloud security and incident management, all sharing one agent and one tagging model. That breadth is its main draw: a team can correlate a latency spike in a trace with the host metric, container event and log line that explain it without switching tools.

Pricing is modular and publicly listed. Infrastructure Monitoring Pro starts at US$15 per host per month on annual billing (US$18 on demand) and Enterprise at US$23 (US$27), while APM attached to infrastructure starts at US$31 per host per month. Logs are billed twice: ingestion starts at US$0.10 per GB, and indexing with 15-day retention costs US$1.70 per million events on annual terms, with cheaper Flex storage tiers for logs kept for later search. The modular structure is also the most frequently cited drawback, because each product, custom metric and indexed event is a separate meter, and bills can grow quickly as environments scale.

Key features

  • Infrastructure, APM, logs, RUM and synthetics on one agent
  • Flex Logs tiers for low-cost long retention
  • Per-host APM with Pro and Enterprise variants
  • Free tier for up to five Basic hosts
  • Unified tagging across metrics, traces and logs

Pricing

Infrastructure Pro from US$15/host/month (annual) or US$18 on demand; Enterprise from US$23 (annual) or US$27. APM with infrastructure from US$31/host/month (annual), APM Pro from US$35, APM Enterprise from US$40. Log ingest from US$0.10/GB; Standard indexing (15-day retention) US$1.70 per million events (annual) or US$2.55 on demand; Flex Storage US$0.05 per million events stored. Free tier: up to five Basic hosts with one-day metric retention.

Co-founders
Olivier Pomel, Alexis Lê-Quôc
Pricing
From US$15/host/month (Infrastructure Pro, annual)
Free tier
Up to 5 Basic hosts

Strengths

  • Very broad product coverage on one agent
  • Transparent published rate card
  • Strong correlation between signals via shared tags
  • Flexible log tiers separate ingestion from indexing

Limitations

  • Many independent meters make bills hard to forecast
  • Log indexing priced per million events, on top of ingest
  • Basic-host pricing is not published
  • Enterprise-tier features require higher per-host rates
2

Dynatrace

Best for: Large enterprises with hybrid estates that want automatic discovery

Dynatrace is an observability platform known for its OneAgent, which instruments hosts, processes and services automatically, and for its causal AI engine that groups related anomalies into a single problem. The company describes itself as "the observability company for the AI era" and says it operates from 50 offices. It sells through the Dynatrace Platform Subscription (DPS), a commitment that is drawn down against a published rate card.

The rate card is unusually granular. Full-Stack Monitoring is listed at US$58 per month for an 8 GiB host, billed at US$0.01 per memory-GiB-hour; Infrastructure Monitoring is US$29 per host per month; log ingest and processing is US$0.20 per GiB; Kubernetes platform monitoring is US$1.40 per pod per month; and real user monitoring is US$2.25 per 1,000 sessions. Because full-stack pricing scales with host memory rather than host count, large-memory servers cost proportionally more, which teams migrating from per-host vendors should model before committing. The company has been extending into AI workloads: on 1 October 2026 it announced completing the acquisition of Arize, an AI observability vendor, and on 2 November 2026 it announced a partnership with CrowdStrike covering SIEM and observability. A 15-day free trial is available.

Key features

  • OneAgent automatic instrumentation and topology discovery
  • Causal AI problem detection
  • Full-stack, infrastructure and discovery monitoring modes
  • Kubernetes monitoring priced per pod
  • Logs, RUM and synthetic monitoring on the same subscription
  • 15-day free trial

Pricing

Dynatrace Platform Subscription (annual commitment drawn down by usage). Rate card: Full-Stack Monitoring US$58/month per 8 GiB host (US$0.01 per memory-GiB-hour); Infrastructure Monitoring US$29/host/month; Foundation & Discovery US$7/host/month; log ingest & process US$0.20/GiB; metrics ingest US$0.15 per 100,000 data points; RUM US$2.25 per 1,000 sessions; HTTP monitors US$1.00 per 1,000 requests. 15-day free trial.

Recent acquisitions

Dynatrace announced completion of its Arize acquisition on 1 October 2026, extending its product into AI model and agent observability.

Pricing model
Dynatrace Platform Subscription (DPS)
Full-Stack Monitoring
US$58/month per 8 GiB host
Free trial
15 days
Offices
50

Strengths

  • Automatic discovery reduces manual instrumentation
  • Detailed public rate card
  • Strong fit for hybrid and mainframe-adjacent estates
  • Root-cause grouping cuts alert noise

Limitations

  • Memory-based pricing penalises large hosts
  • Annual commitment model suits enterprises more than small teams
  • Proprietary agent, though OpenTelemetry ingest is supported
  • Many rate-card meters to model
3

Grafana Cloud

Best for: Teams standardised on Prometheus and open-source tooling

Grafana Cloud is the hosted service of Grafana Labs, the company behind the Grafana dashboarding project that Torkel Ödegaard created in December 2013. The cloud service packages the company's open-source back ends, Mimir for metrics, Loki for logs, Tempo for traces and Pyroscope for profiles, behind Grafana dashboards, alerting and incident response (IRM). Grafana Labs says it has more than 10,000 customers.

The pricing model is the most accessible in this list for small teams. The Free plan includes 10,000 active metric series and 50 GB each of logs, traces and profiles per month with 14-day retention, plus three active users. Pro carries a US$19 monthly platform fee with the same included usage, after which metrics cost from US$6.50 per 1,000 series and logs are billed in three parts: US$0.05 per GB processing, US$0.40 per GB written and US$0.10 per GB retained. Enterprise starts at a US$25,000 annual commitment and adds Federal Cloud and bring-your-own-cloud deployment. Because the components are open source, teams can also self-host them and later move to the managed service, which reduces lock-in. The trade-off is that the stack is assembled from separate query languages (PromQL, LogQL, TraceQL), which lengthens the learning curve compared with single-language platforms.

Key features

  • Hosted Prometheus-compatible metrics (Mimir)
  • Logs (Loki), traces (Tempo), profiles (Pyroscope)
  • Incident response and on-call (IRM)
  • Free plan with 10k series and 50 GB per signal
  • Federal Cloud and bring-your-own-cloud on Enterprise
  • Self-hostable open-source components

Pricing

Free: US$0, 10k active series, 50 GB logs/traces/profiles each, 14-day retention, 3 users. Pro: US$19/month platform fee plus usage; metrics from US$6.50 per 1k series; logs and traces US$0.05/GB processing + US$0.40/GB write + US$0.10/GB retain; extra users US$8 each; 13-month metric and 30-day log retention. Enterprise: from US$25,000/year commitment, metrics as low as US$3 per 1k series.

Customers
10,000+ (company figure)
Free plan
10k series, 50 GB logs/traces/profiles
Pro
US$19/month + usage
Enterprise
From US$25,000/year

Strengths

  • Generous permanent free tier
  • Open-source components limit lock-in
  • Prometheus and OpenTelemetry native
  • Low entry price for paid tier

Limitations

  • Several query languages to learn
  • Usage billed on many dimensions (process, write, retain)
  • Enterprise overage rates not published
  • Less automatic instrumentation than agent-centric vendors
4

New Relic

Best for: Teams that want a large free allowance and per-GB pricing

New Relic was one of the original SaaS APM vendors and moved to a consumption model built on data ingest and user seats rather than hosts. It was taken private by Francisco Partners and TPG, which completed an all-cash acquisition on 8 November 2023 at US$87.00 per share, valuing the equity at about US$6.5 billion.

The free tier is the largest in the category by data volume: 100 GB of ingest per month, one full-platform user and unlimited basic users. Beyond that, standard ingest costs US$0.40 per GB and the Data Plus option, which adds longer retention and compliance features, costs US$0.60 per GB. Seats drive most of the cost at scale: a full-platform user on Pro costs US$349 per month on an annual commitment or US$418.80 pay-as-you-go, while core users cost US$49. Because every capability (APM, infrastructure, logs, browser, synthetics, errors inbox) is included once data is ingested, New Relic suits organisations with many services and relatively few engineers who need full access. Organisations with large engineering teams can find the per-user component outweighs the data component.

Key features

  • APM, infrastructure, logs, browser and synthetics in one data platform
  • NRQL query language across all telemetry
  • 100 GB/month free ingest
  • Data Plus option for extended retention
  • Unlimited free basic users

Pricing

Free: 100 GB/month ingest, 1 full-platform user, unlimited basic users. Ingest beyond 100 GB: US$0.40/GB (original) or US$0.60/GB (Data Plus). Users: core US$49/month; full platform on Standard US$10 for the first user then US$99 (max 5); on Pro US$349/month (annual) or US$418.80 (monthly). Enterprise: contact sales.

Ownership
Francisco Partners and TPG (since November 2023)
Take-private value
About US$6.5bn equity
Free tier
100 GB/month ingest
Ingest price
US$0.40/GB

Strengths

  • Large free data allowance
  • All capabilities included with ingest
  • Single query language
  • Predictable per-GB data pricing

Limitations

  • Full-platform seats are expensive on Pro
  • Standard edition capped at five full users
  • Enterprise pricing unpublished
  • Seat-based model penalises large engineering teams
5

Splunk Observability Cloud

Best for: Enterprises already running Splunk or Cisco tooling

Splunk Observability Cloud combines infrastructure monitoring, APM with always-on profiling, real user monitoring and synthetic monitoring, and connects to Splunk's log platform through Log Observer Connect. Splunk has been part of Cisco since 18 March 2024, when Cisco completed its acquisition at US$157 per share, approximately US$28 billion in equity value. The product pages now carry "Splunk by Cisco" branding.

Splunk publishes three per-host editions billed annually: Infrastructure from US$15 per host per month, App & Infra (adds APM and synthetic API monitoring) from US$60, and End-to-End (adds RUM and synthetic browser monitoring) from US$75. Database monitoring is an add-on priced by sales. The suite's architecture streams metrics with very fine resolution, which suits high-cardinality, fast-moving environments. Its main limitation is fragmentation: logs remain in the separate Splunk Platform with its own licence, so a full observability deployment typically means two contracts and two consoles, although Cisco has been integrating AppDynamics and Splunk products under a common roadmap.

Key features

  • Infrastructure monitoring with streaming analytics
  • APM with always-on profiling
  • Real user and synthetic browser monitoring
  • Log Observer Connect to Splunk Platform
  • Network Explorer

Pricing

Annual billing: Infrastructure from US$15/host/month; App & Infra from US$60/host/month; End-to-End from US$75/host/month. Database Monitoring and Secure Application are add-ons, price on request.

Owner
Cisco (since 18 March 2024)
Acquisition value
About US$28bn equity
Pricing
From US$15/host/month (annual)

Strengths

  • Strong fit with existing Splunk log estates
  • High-resolution streaming metrics
  • Clear per-host edition pricing
  • Backed by Cisco's enterprise channel

Limitations

  • Logs licensed separately on Splunk Platform
  • Full suite costs US$75/host/month
  • No published trial length
  • Overlap with Cisco's AppDynamics creates roadmap uncertainty
6

Elastic Observability

Best for: Log-heavy teams and organisations already using the Elastic Stack

Elastic Observability builds logs, metrics, APM, profiling and synthetic monitoring on Elasticsearch, the search engine Elastic develops. It can be self-managed, run on Elastic Cloud hosted deployments or consumed as a serverless project. Its search heritage makes it strong at full-text log investigation, and its distribution of OpenTelemetry components lets teams send standard telemetry without a proprietary agent.

Serverless pricing is published per GB. The Logs Essentials tier is listed as low as US$0.07 per GB ingested and US$0.017 per GB retained per month, while the Complete tier, which adds APM, infrastructure and AI-assisted features, starts at US$0.09 per GB ingested and US$0.019 per GB retained. Elastic notes that new metrics pricing took effect on 1 July 2026, with metrics on Complete listed at US$0.023 per GB ingested. Retention priced separately from ingest makes long log retention comparatively cheap. The drawbacks are operational for self-managed users, who must size and tune clusters, and the fact that the APM and infrastructure user experience is less automated than agent-led platforms such as Dynatrace.

Key features

  • Logs, metrics, APM and profiling on Elasticsearch
  • Serverless, hosted and self-managed options
  • Elastic Distributions of OpenTelemetry
  • Separate low-cost Logs Essentials tier
  • AI assistant for investigations

Pricing

Serverless: Logs Essentials from US$0.07/GB ingest and US$0.017/GB/month retention; Complete from US$0.09/GB ingest and US$0.019/GB/month retention; metrics on Complete US$0.023/GB ingest (pricing effective 1 July 2026). Free trial available; length not stated on the page.

Pricing
From US$0.07/GB ingest (Logs Essentials)
Deployment
Serverless, hosted or self-managed

Strengths

  • Low per-GB ingest and retention prices
  • Excellent full-text log search
  • Can be self-managed
  • OpenTelemetry-first collection options

Limitations

  • Self-managed clusters require tuning expertise
  • APM experience less automatic than agent-led rivals
  • Multiple deployment models complicate comparisons
  • Trial length not published
7

Honeycomb

Best for: Engineering teams debugging distributed systems with traces

Honeycomb is one of the vendors most associated with event-based observability: instead of pre-aggregated metrics, it stores wide structured events and lets engineers slice them by any field, including high-cardinality attributes such as user ID or build number. Its BubbleUp feature compares outlier events with the baseline to surface the dimensions that differ, and service-level objectives are computed directly from events.

Pricing is based on event volume rather than hosts or GB. The Free plan covers up to 20 million events per month, Pro starts at US$150 per month for up to 750 million events, and Enterprise is quoted, with plans starting at 10 billion events per year. Event-based billing makes cost predictable for teams that control sampling, and Honeycomb supplies a sampling proxy for that purpose. Honeycomb is narrower than full-suite vendors: it does not aim to replace infrastructure monitoring dashboards or traditional log archives, so it is often used alongside a metrics tool. The pricing page does not state retention periods.

Key features

  • Wide-event storage with high-cardinality queries
  • BubbleUp outlier analysis
  • SLOs computed from events
  • OpenTelemetry-native ingestion
  • Free plan of 20 million events/month

Pricing

Free: up to 20 million events/month. Pro: from US$150/month for up to 750 million events. Enterprise: custom quote, plans start at 10 billion events/year.

Free plan
20 million events/month
Pro
From US$150/month

Strengths

  • Fast ad-hoc queries on high-cardinality data
  • Simple event-based pricing
  • Strong tracing and SLO workflow
  • Free plan useful for small services

Limitations

  • Not a full infrastructure-monitoring replacement
  • Retention not stated on pricing page
  • Cost control depends on sampling discipline
  • Smaller integration catalogue than suite vendors
8

Chronosphere (Palo Alto Networks)

Best for: Very large Kubernetes estates focused on controlling data volume

Chronosphere sells two products: an observability platform for metrics, events, traces, logs and SLOs, and a telemetry pipeline built by the creators of Fluent Bit. Palo Alto Networks announced on 29 January 2026 that it had completed the acquisition; the release says Chronosphere's pipeline cuts data volumes by at least 30%, that Chronosphere was a Leader in the 2025 Gartner Magic Quadrant for Observability Platforms, and that co-founder Martin Mao joined Palo Alto Networks as SVP and GM of Observability. Financial terms were not stated in the filing.

The Chronosphere site now says the product "is now Cortex XCOR by Palo Alto Networks", and Palo Alto plans to integrate it with Cortex AgentiX while keeping the telemetry pipeline available as a standalone product. Chronosphere's positioning is cost control: its control plane lets teams aggregate or drop low-value metrics before they are stored. No prices are published. Buyers should note that the product is being folded into a security vendor's platform, which may change packaging and roadmap.

Key features

  • Metrics, traces, logs and events platform
  • Telemetry Pipeline from Fluent Bit creators
  • Control plane to shape and drop low-value data
  • Prometheus and OpenTelemetry compatible
  • SLO management

Pricing

Quote-based; no prices published.

Owner
Palo Alto Networks (completed 29 January 2026)
Current name
Cortex XCOR by Palo Alto Networks
Pricing
Quote-based

Strengths

  • Strong data-volume reduction tooling
  • Built for very high metric cardinality
  • Standalone pipeline product retained
  • Recognised as a 2025 Gartner Leader (per Palo Alto)

Limitations

  • No published pricing
  • Product being rebranded and integrated after acquisition
  • Enterprise-focused; little self-serve
  • Roadmap now tied to Palo Alto's Cortex platform
9

Coralogix

Best for: Cost-sensitive teams that want to route data by value

Coralogix is an observability platform that analyses logs, metrics and traces in-stream and then routes each data stream to a pipeline tier according to how it will be used. High-value data goes to the Frequent Search tier with indexing, while data needed only for dashboards and alerts goes to the cheaper Monitoring tier, and compliance data is written to the customer's own object storage.

Billing is expressed in units, where one unit equals US$1.50 of logs, metrics and traces, drawn against a daily quota. The pricing page lists logs at US$0.42 per GB, traces at US$0.16 per GB and metrics at US$0.06 per GB (one GB equal to 750 active time series); its FAQ gives logs at US$1.15 per GB on Frequent Search and US$0.50 per GB on Monitoring. A 14-day trial includes full features and a quota of eight units, without a credit card. The tiered model rewards teams that classify their data, but it adds configuration work, and the multiple prices for the same data type make like-for-like comparison with other vendors harder.

Key features

  • In-stream log, metric and trace analysis
  • Frequent Search, Monitoring and Compliance tiers
  • Archive to customer-owned object storage
  • Shared unit currency across data types
  • AI observability (priced per million tokens)
  • 14-day trial with 8-unit quota

Pricing

Unit-based: 1 unit = US$1.50 of usage. Logs US$0.42/GB, traces US$0.16/GB, metrics US$0.06/GB (750 series = 1 GB), AI US$1.50 per million tokens. FAQ examples: Frequent Search logs US$1.15/GB, Monitoring logs US$0.50/GB. 14-day trial, 8 units, no card.

Billing unit
1 unit = US$1.50
Logs
From US$0.42/GB
Trial
14 days, 8 units

Strengths

  • Routing by data value reduces cost
  • Customer-owned archive storage
  • No credit card needed for trial
  • Single unit currency across signals

Limitations

  • Tier configuration adds work
  • Several per-GB prices for logs complicate comparison
  • Daily quota model needs monitoring
  • Less brand recognition in large enterprises
10

Sumo Logic

Best for: Security and operations teams sharing one log platform

Sumo Logic is a cloud-native log analytics platform used for both observability and security operations, including a cloud SIEM. Its pricing has shifted towards the Flex licence, which charges $0 for ingest and instead bills by the volume of data scanned at query time, plus storage based on actual retention. Essentials and Enterprise Suite editions are sold through sales, and self-serve credit-card purchases are capped at US$25,000. An AI assistant, DojoAI, is offered as an add-on with ten prompts per user per day included.

Zero-cost ingest suits organisations that collect large volumes for audit or security but query a small share of them. The model inverts the usual risk, however: heavy dashboard and alert usage drives scan charges, and the pricing page does not show the per-TB scan rate or the trial length, so cost modelling requires a sales conversation. Sumo Logic is primarily a log platform; metrics and tracing exist but are less central than at APM-first vendors.

Key features

  • Cloud log analytics with Flex licensing
  • Cloud SIEM for security operations
  • Zero-cost ingest, billed on scans
  • Retention-based storage billing
  • DojoAI assistant add-on

Pricing

Flex: US$0 ingest; billed on scan volume and actual retention; per-TB scan rate not shown. Essentials and Enterprise Suite: contact sales. Self-serve credit purchases up to US$25,000. Free trial offered; length not stated.

Licence model
Flex (zero ingest, pay per scan)
Self-serve cap
US$25,000

Strengths

  • Ingest cost removed under Flex
  • Combined observability and SIEM
  • Suits audit-heavy log retention
  • Mature cloud log platform

Limitations

  • Scan pricing not published
  • Heavy querying raises costs
  • APM less developed than leaders
  • Most editions require sales contact
11

SigNoz

Best for: Startups and teams wanting open-source APM with a hosted option

SigNoz is an open-source observability platform built natively on OpenTelemetry, combining traces, metrics and logs in one interface backed by the ClickHouse columnar database. The Community Edition can be self-hosted free of licence fees, with the operator running the infrastructure.

SigNoz Cloud's Teams plan starts at US$49 per month including US$49 of usage, with logs and traces at US$0.30 per GB ingested and 15-day retention and metrics at US$0.10 per million samples with one-month retention. Eligible startups pay US$19 per month for the first 12 months. Enterprise starts at US$4,000 per month and offers dedicated cloud, bring-your-own-cloud or self-hosted deployment with support. Being OpenTelemetry-native means instrumentation is portable to other back ends. The trade-offs are a smaller feature set than mature suites, no built-in real user monitoring comparable to leaders, and responsibility for scaling ClickHouse when self-hosting.

Key features

  • Traces, metrics and logs in one UI
  • Native OpenTelemetry ingestion
  • ClickHouse storage back end
  • Self-hosted Community Edition
  • Bring-your-own-cloud on Enterprise

Pricing

Teams: from US$49/month including US$49 usage; logs and traces US$0.30/GB (15-day retention); metrics US$0.10 per million samples (1-month retention). Startup offer US$19/month for 12 months. Enterprise from US$4,000/month. Community Edition: open source, self-hosted.

Teams plan
From US$49/month
Logs/traces
US$0.30/GB
Enterprise
From US$4,000/month

Strengths

  • Open source with self-host option
  • Low entry price
  • No proprietary agent
  • Transparent per-GB pricing

Limitations

  • Smaller feature set than suites
  • Self-hosting requires ClickHouse expertise
  • Short default retention on Teams
  • Enterprise floor is high relative to Teams
12

Better Stack

Best for: Small teams wanting uptime, on-call and logs from one vendor

Better Stack combines uptime monitoring, status pages, incident on-call and a telemetry warehouse for logs, metrics and traces. It is aimed at smaller engineering teams that would otherwise assemble separate uptime, paging and logging tools.

Its free plan for personal projects includes 10 monitors and heartbeats, one status page, 30 GB of metrics and 3 GB each of logs, traces and web events retained for three days. Paid usage is metered by region: log ingestion costs US$0.10 per GB in Europe, US$0.15 in the United States and US$0.35 in Singapore, with monthly retention of US$0.05, US$0.08 and US$0.18 per GB respectively. On-call responders cost US$29 per month on yearly billing or US$34 monthly, while team members with telemetry-only access are free. The regional price differences matter for data-residency decisions. Better Stack is lighter than enterprise suites in APM depth and automatic topology discovery, so it suits web applications and SaaS start-ups more than large hybrid estates.

Key features

  • Uptime monitors and heartbeats
  • Status pages
  • On-call scheduling and incident management
  • Logs, metrics and traces warehouse
  • Region-specific storage in Europe, US and Singapore

Pricing

Free: 10 monitors/heartbeats, 1 status page, 30 GB metrics, 3 GB logs/traces/web events (3-day retention). Responder licence US$29/month (yearly) or US$34 (monthly); telemetry-only team members free. Logs ingest US$0.10/GB (EU), US$0.15 (US), US$0.35 (Singapore). Extra 50 uptime monitors US$21–25/month.

Free plan
10 monitors, 1 status page, 3 GB logs
Responder
US$29/month (yearly)
Logs ingest
From US$0.10/GB (EU)

Strengths

  • Uptime, paging and logs in one product
  • Low entry cost
  • Free telemetry-only seats
  • Choice of storage region

Limitations

  • Limited APM depth
  • Prices vary by region
  • Short free retention
  • Less suited to large hybrid estates

Comparison table

ToolOwner / statusPrimary billing unitEntry paid priceFree tierSelf-hostableOpenTelemetry
DatadogIndependent, listedPer host + per GB / per eventUS$15/host/mo5 Basic hostsNoSupported
DynatraceIndependent, listedHourly rate card (DPS)US$7/host/mo (Foundation)15-day trialManaged optionSupported
Grafana CloudGrafana LabsSeries, GB, active usersUS$19/mo + usage10k series, 50 GB/signalYes (OSS)Native
New RelicFrancisco Partners / TPGGB ingest + usersUS$0.40/GB100 GB/moNoSupported
Splunk ObservabilityCiscoPer hostUS$15/host/moNot statedNoNative
Elastic ObservabilityElasticGB ingest + retentionUS$0.07/GBTrialYesNative distributions
HoneycombIndependentEventsUS$150/mo20M events/moNoNative
ChronospherePalo Alto NetworksQuoteQuote-basedNone publishedNoSupported
CoralogixIndependentUnits (US$1.50)US$0.42/GB logs14-day trialNoSupported
Sumo LogicIndependentScans + retentionQuoteTrialNoSupported
SigNozIndependentGB + samplesUS$49/moSelf-host CEYes (OSS)Native
Better StackIndependentGB by region + seatsUS$29/responder/mo10 monitors, 3 GB logsNoSupported

Alternatives by use case

  • Lowest-cost entry: Grafana Cloud Free, New Relic Free or SigNoz Community Edition.
  • Automatic enterprise APM: Dynatrace or Datadog APM Enterprise.
  • High-cardinality debugging: Honeycomb.
  • Log-heavy, cost-sensitive: Elastic Logs Essentials, Coralogix Monitoring tier or Sumo Logic Flex.
  • Existing Splunk or Cisco estate: Splunk Observability Cloud.
  • Uptime plus on-call for a small SaaS: Better Stack.
  • Telemetry volume reduction: Chronosphere Telemetry Pipeline.

Recent developments

  • 29 January 2026: Palo Alto Networks completed its acquisition of Chronosphere; the product now appears as Cortex XCOR, and the telemetry pipeline remains sold standalone.
  • 1 July 2026: Elastic's new metrics pricing for serverless observability took effect.
  • 1 October 2026: Dynatrace announced completion of its acquisition of Arize.
  • 12 October 2026: Dynatrace announced FedRAMP High "Initial Implementation" status.
  • 2 November 2026: CrowdStrike and Dynatrace announced a partnership aimed at SIEM and observability.

Frequently asked questions

What is the difference between monitoring and observability?

Monitoring checks known conditions, such as whether CPU or error rate crosses a threshold, using predefined dashboards and alerts. Observability is the ability to explain unexpected behaviour from the telemetry a system emits, which requires correlated metrics, logs and traces and queries on arbitrary attributes. Most observability platforms include monitoring, but a monitoring tool alone usually cannot answer new questions without new instrumentation.

What are the three pillars of observability?

The three commonly cited pillars are metrics, logs and traces. Metrics are numeric time series, logs are timestamped records of events, and traces follow a single request across services. Vendors increasingly add continuous profiling, real user monitoring and events as further signals, and the OpenTelemetry project defines standard formats for all of these so they can be sent to any compatible back end.

Which observability tool has the best free tier?

By published allowances, New Relic offers 100 GB of data ingest per month with one full-platform user, Grafana Cloud offers 10,000 metric series and 50 GB each of logs, traces and profiles, and Honeycomb offers 20 million events per month. Datadog's free tier is limited to five Basic hosts with one-day metric retention. The most suitable option depends on which signal dominates a team's data.

Is OpenTelemetry a replacement for Datadog or Grafana?

No. OpenTelemetry is a vendor-neutral set of APIs, SDKs and a collector for generating and exporting telemetry; it does not store or visualise data. It sits in front of a back end such as Datadog, Grafana Cloud, Honeycomb or SigNoz. Its value is portability: instrumentation written once with OpenTelemetry can be pointed at a different vendor without changing application code.

Who owns Splunk and New Relic?

Cisco owns Splunk; it completed the acquisition on 18 March 2024 at US$157 per share, about US$28 billion in equity value. New Relic is privately owned by Francisco Partners and TPG, which completed their all-cash take-private on 8 November 2023 at US$87 per share, valuing the equity at about US$6.5 billion.

Why are observability bills hard to predict?

Most vendors combine several meters, such as hosts, GB ingested, events indexed, custom metric series and user seats, and each grows with a different driver. Log volume and high-cardinality metrics tend to grow fastest. Tools that separate ingest from indexing or retention, and telemetry pipelines that drop low-value data before storage, are the usual ways teams bring costs under control.

Can observability tools be self-hosted?

Yes, several can. Grafana's Mimir, Loki and Tempo, the Elastic Stack and SigNoz Community Edition are available for self-managed deployment, and Grafana Cloud Enterprise and SigNoz Enterprise offer bring-your-own-cloud options. Self-hosting removes licence or usage fees for the open-source editions but shifts storage, scaling and upgrade work to the operator's own team.

See also

Should your company be on this list?

Submit your logo, description, image and link for review. Approved listings appear in the Featured section above.

Add your company

Is your company missing from a list?

Send your logo, description and link. Editors review every submission, and approved listings are clearly labelled.

Add your company