An ETL tool is software that extracts data from source systems, transforms it into a consistent structure and loads it into a target such as a data warehouse or data lake. Most current products also support ELT, in which raw data is loaded first and transformed inside the warehouse, as well as change data capture (CDC) for near-real-time replication of database changes.
This list covers thirteen ETL and ELT products available in November 2026: managed ELT services (Fivetran, Hevo, Stitch, Estuary, Integrate.io, Rivery), open-source Airbyte, enterprise suites from Informatica and Qlik, warehouse-native Matillion, the cloud providers' AWS Glue and Azure Data Factory, and the dbt transformation framework. Prices and plan details were read from each vendor's own pricing page.
Contents
- What is an ETL tool
- History and market
- Key features to compare
- Pricing models
- How to choose
- Methodology
- The list
- Comparison table
- Alternatives by use case
- Recent developments
- Frequently asked questions
- See also
What is an ETL tool
ETL stands for extract, transform, load. An ETL tool connects to sources such as SaaS applications, relational databases, event streams and files; extracts data on a schedule or continuously; applies transformations such as cleaning, joining, type conversion and deduplication; and writes the result to a destination. Classic ETL performs transformation in a separate processing engine before loading. ELT, now the dominant pattern with cloud warehouses, loads raw data first and transforms it with SQL inside the warehouse, which is why ingestion services such as Fivetran are commonly paired with dbt.
Adjacent categories overlap. Data integration tools is the broader category that also covers application and API integration, as in Informatica's suite. A data warehouse is the destination that stores and queries the data. Data quality tools profile and validate data, and a customer data platform collects behavioural data for marketing activation. Reverse ETL, offered by Fivetran as activations, moves warehouse data back into operational applications.
History and market
ETL emerged with on-premises data warehousing, when tools from vendors such as Informatica ran transformation servers in the customer's data centre. The move to cloud warehouses created demand for managed connectors that load raw data and leave modelling to SQL, giving rise to Fivetran, Stitch and Matillion in the 2010s and to open-source Airbyte, launched in 2020. The cloud providers built their own services, AWS Glue and Azure Data Factory, priced per unit of compute.
The category has consolidated sharply. Talend and its Stitch subsidiary became part of Qlik, which now sells Qlik Talend Cloud. Salesforce completed its acquisition of Informatica on 18 November 2025. Boomi absorbed Rivery, whose credits are now Boomi Data Units. Fivetran and dbt Labs announced an all-stock merger on 13 October 2025 and completed it on 1 June 2026, combining the leading ELT ingestion service with the leading transformation framework. Microsoft, meanwhile, positions Data Factory in Fabric as the successor to Azure Data Factory. No market-size figure from a named research firm was verified for this list.
Key features to compare
Connector coverage
The number and maturity of prebuilt connectors determines how much custom work remains. Fivetran lists more than 750 sources and Airbyte more than 700 connectors, while cloud-provider services cover mainly databases, files and their own platform.
Latency and CDC
Batch syncs every 15 minutes suit reporting; operational use cases need CDC. Fivetran Enterprise offers one-minute syncs, and Estuary and Qlik Talend Cloud are built around real-time CDC.
Transformation approach
Tools differ on where transformation runs: in a separate engine (Glue, Data Factory data flows), pushed down to the warehouse (Matillion), or in SQL models (dbt).
Deployment model
Options range from fully managed SaaS to self-hosted open source (Airbyte Core), hybrid agents (Informatica Secure Agent, ADF self-hosted runtime) and bring-your-own-cloud (Estuary Enterprise).
Billing metric
Vendors meter rows, events, gigabytes, credits, compute hours or nothing at all. The metric matters more than the headline price, because update-heavy tables or repeated full refreshes can multiply billable units.
Governance and security
Enterprise buyers check for SSO, role-based access, private networking, customer-managed keys, lineage and compliance reports; Fivetran Business Critical and Estuary Enterprise publish specific items such as PCI DSS Level 1 support or a HIPAA BAA.
Data quality and lineage
Suites such as Informatica and Qlik Talend Cloud include profiling, quality rules and catalogues, and AWS Glue includes Data Quality rules; lighter ELT services leave these to separate data quality tools.
Pricing models
Five pricing patterns appear among the entries. Row or event metering: Fivetran charges on monthly active rows with a free tier to 500,000 MAR, Hevo on events from US$299 per month, and Stitch on rows from US$100 per month. Volume metering: Estuary charges US$0.50 per GB plus US$100 per connector per month. Credits: Airbyte Cloud from US$20 per month, Rivery at US$0.90 per credit, and Matillion and Informatica with unpublished credit or IPU rates. Compute: AWS Glue at US$0.44 per DPU-hour and Azure Data Factory per run, DIU-hour and vCore-hour. Flat fee: Integrate.io Core at US$1,999 per month with unlimited volume.
Free entry points exist from Fivetran, Airbyte (self-hosted Core and trial credits), dbt (Developer), Estuary (10 GB per month) and AWS Glue's catalogue free tier. Enterprise suites from Informatica and Qlik are quote-only.
How to choose
Small teams and start-ups usually start with a free or low-cost managed service: Fivetran's free tier, Airbyte Cloud Standard, Estuary Developer or Stitch Standard, combined with dbt Developer for modelling.
Mid-sized companies with growing volume often compare Hevo's tiered event plans, Integrate.io's flat fee and Fivetran Standard, choosing the metric that best matches their data churn.
Large enterprises with on-premises systems, SAP or mainframes and governance requirements typically evaluate Informatica IDMC and Qlik Talend Cloud, or Fivetran Enterprise and Business Critical for managed ELT.
Cloud-committed organisations can use AWS Glue on AWS or Azure Data Factory and Fabric Data Factory on Microsoft, avoiding a separate vendor contract.
Engineering-led teams that need custom connectors or self-hosting favour Airbyte, while those wanting visual design inside Snowflake or Databricks look at Matillion.
Methodology
Products were included if they are generally available in November 2026, perform extraction and loading (or, in dbt's case, the transformation step of ELT) for cloud warehouses, and publish product and pricing information on their own sites. Ordering is editorial and based on verifiable criteria: breadth of documented connectors and deployment options, support for CDC and enterprise governance, and transparency of pricing. Enterprise suites rank high for breadth even though their prices are unpublished. Ownership changes were checked against vendor and acquirer press releases. No user ratings, hands-on benchmarks or sponsored placements were used, and Google Cloud's Dataflow was considered but its pricing page could not be read in full.
The list
1
Managed ELT with 750+ sources, now merged with dbt Labs
Best for: Teams wanting fully managed ingestion with minimal engineering
Fivetran is a managed extract-load-transform (ELT) service: it runs prebuilt connectors that replicate data from SaaS applications, databases and files into a cloud warehouse or lake, and leaves most transformation to SQL models executed in the destination. Its connector page states that it moves data from more than 750 sources and can activate data back into more than 200 destinations. The pricing page lists Free, Standard, Enterprise and Business Critical plans; Standard includes 15-minute syncs and unlimited users, Enterprise adds one-minute syncs, custom roles, SCIM and hybrid deployment, and Business Critical adds customer-managed keys, PCI DSS Level 1 support and private networking.
On 1 June 2026 Fivetran completed its all-stock merger with dbt Labs, first announced on 13 October 2025; co-founder George Fraser is chief executive and dbt Labs co-founder Tristan Handy is president. The combined company says it serves more than 100,000 data teams, and the dbt Fusion engine runtime was released as dbt Core v2.0 (alpha) under the Apache 2.0 licence. The main limitation is cost predictability: billing is on monthly active rows (MAR), so high-churn tables can raise spend, and the published annual-contract table starts at US$12,000.
Key features
- 750+ source connectors, 200+ activation destinations
- Syncs every 15 minutes (Standard) or 1 minute (Enterprise)
- Hybrid deployment on Enterprise
- Customer-managed keys and private networking (Business Critical)
- Transformations billed per successful model run
- Reverse-ETL activations to SaaS tools
Pricing
Usage-based on monthly active rows (MAR). Free: up to 500,000 MAR for connections, 3,500 MAR for activations and 5,000 model runs. Standard, Enterprise and Business Critical have no list price; spend rate falls as volume rises, and a US$5 base charge applies to Standard connections using 1 to 1 million MAR. Transformations: first 5,000 model runs free, then US$0.01 down to US$0.002 per run. 14-day account trial; annual discounts from 5% up to 22%.
Ownership and history
The Fivetran and dbt Labs merger was announced on 13 October 2025 and completed on 1 June 2026; named customers in the completion release include OpenAI, Zendesk, Coupa and HubSpot.
- Owner
- Fivetran (merged with dbt Labs, June 2026)
- CEO
- George Fraser
- Pricing
- Usage-based (MAR); free tier
- Free trial
- 14 days
Strengths
- Very large managed connector catalogue
- Free tier for small volumes
- Native combination with dbt after the merger
- Enterprise security tiers up to PCI DSS Level 1
Limitations
- MAR billing makes costs hard to forecast
- No list price for paid plans
- Limited control over connector internals
- Annual contracts start at a high level
2
II
Enterprise data integration suite, owned by Salesforce since November 2025
Best for: Large enterprises with complex hybrid integration and governance needs
Informatica is one of the longest-established enterprise ETL vendors, and its cloud platform, Intelligent Data Management Cloud (IDMC), bundles data integration and engineering with API and application integration, data quality and observability, master data management, cataloguing, governance and a data marketplace. The CLAIRE AI layer is presented as a platform-wide capability for automating mapping and metadata work. Salesforce completed its acquisition of Informatica on 18 November 2025, and the company now markets itself as "Informatica from Salesforce".
Licensing is consumption-based on Informatica Processing Units (IPUs): customers buy a pool of IPUs that can be spent on any eligible cloud service, with consumption measured per service "scaler", including Secure Agent, CDI-elastic and mass-ingestion volume. This gives flexibility across a broad suite but makes the cost of a single pipeline harder to estimate in advance; Informatica publishes no IPU prices and directs buyers to a quote form. A free Cloud Data Integration offer exists for evaluation. The suite's breadth suits organisations that need ETL alongside master data and governance, but it is heavier to adopt than single-purpose ELT tools.
Key features
- Cloud data integration and data engineering
- Data quality, observability and MDM in one platform
- CLAIRE AI for metadata-driven automation
- API and application integration
- Secure Agent for on-premises sources
- Data catalogue and governance
Pricing
Quote-based. Informatica Processing Units (IPUs) are bought as a pool and consumed by any eligible cloud service; usage is measured per scaler as defined in the Informatica Measurement Guide. A free Cloud Data Integration offer is available.
- Owner
- Salesforce (acquisition completed 18 November 2025)
- Pricing
- Quote-based (IPU consumption)
Strengths
- Broadest enterprise suite in this list
- Strong hybrid and on-premises connectivity
- Data quality and MDM in the same licence pool
- Single IPU pool across services
Limitations
- No published prices
- Steeper learning curve than ELT-only tools
- IPU consumption hard to forecast per workload
- Roadmap now tied to Salesforce priorities
3
Talend and Qlik replication combined into one ELT, ETL and CDC platform
Best for: Enterprises needing CDC from SAP, mainframe and databases plus data quality
Qlik Talend Cloud combines Talend's data integration and quality tooling, which Qlik acquired, with Qlik's own change-data-capture replication technology. Qlik describes it as one platform for ELT, ETL and streaming ingest, with real-time movement from databases, SAP, mainframe and SaaS sources, no-code pipelines, automatically generated star-schema data marts, data products and a marketplace, and lineage, quality and a metadata catalogue. Recent releases add agentic data engineering, in which AI agents propose and monitor pipelines subject to human approval.
The product is sold in four packages, Starter, Standard, Premium and Enterprise, and is also available as client-managed software for organisations that cannot use a cloud service. Pricing is not published; Qlik's FAQ says usage is measured on a combination of data volume moved, number of job executions and execution duration. The CDC heritage makes it strong for operational databases and SAP, while the Talend side brings data quality and governance. The trade-off is that buyers must request quotes for every tier and may find overlapping legacy Talend and Qlik product names during evaluation.
Key features
- Change data capture from databases, SAP and mainframe
- ELT, ETL and streaming in one product
- Data quality and lineage
- Auto-generated star-schema data marts
- Client-managed option available
- Agentic pipeline building with human approval
Pricing
Quote-based. Four packages (Starter, Standard, Premium, Enterprise); usage measured on data volume moved, job executions and execution duration. Free trial available.
- Owner
- Qlik
- Packages
- Starter, Standard, Premium, Enterprise
- Pricing
- Quote-based
Strengths
- Mature CDC for SAP and mainframe
- Integrated data quality
- Cloud and client-managed deployment
- Four tiers allow staged adoption
Limitations
- No published prices
- Usage metric combines three variables
- Legacy Talend product naming can confuse buyers
- Heavier than SaaS-only ELT tools
4
Cloud-native ETL and ELT designer for Snowflake, Databricks and other warehouses
Best for: Data teams that want visual pipeline design pushed down to the warehouse
Matillion was founded in 2011 by Matthew Scullion and Ed Thompson in Manchester, England, and now operates dual headquarters in Denver and Manchester. Its platform is a visual pipeline designer that pushes transformation work down into the customer's cloud data platform rather than running a separate processing engine. Matillion names Cisco, DocuSign, St. James's Place, Slack and TUI among its customers. The company also offers Maia, an AI agent for building pipelines, which can be trialled on a time-bound, fair-use basis.
Matillion sells three plans, Developer for individuals, Teams for growing businesses and Scale for large organisations, and charges in Matillion Credits. Credits are consumed by task hours, which are billed only while a pipeline runs (validation and sampling are not charged), and by developer users beyond the number included in a plan; fixed annual packages with included credits are also available. No credit rate or plan price is published, so cost comparisons need a sales conversation. The pushdown design keeps data inside the warehouse, but it also means performance and compute cost depend on the warehouse that executes the generated SQL.
Key features
- Visual low-code pipeline designer
- Pushdown transformation into the cloud warehouse
- Maia AI agent for pipeline building
- Task-hour billing only while pipelines run
- Developer, Teams and Scale plans
Pricing
Credit-based (Matillion Credits) consumed by task hours and additional developer users; fixed annual packages with included credits. Plans: Developer (try free), Teams and Scale (contact sales). No list prices published.
- Founded
- 2011
- Headquarters
- Denver, US and Manchester, UK
- Founders
- Matthew Scullion, Ed Thompson
- Pricing
- Credit-based; quote for Teams and Scale
Strengths
- Visual design suits mixed-skill teams
- Billing only when pipelines run
- Free Developer entry point
- Pushdown avoids moving data out of the warehouse
Limitations
- No published credit price
- Compute costs land on the warehouse bill as well
- Fewer prebuilt SaaS connectors than ELT specialists
- Credit model needs monitoring
5
Open-source ELT with 700+ connectors and self-hosted or cloud options
Best for: Engineering teams that want open-source control or custom connectors
Airbyte is an open-source data movement platform founded by Michel Tricot and Jean Lafleur, who joined Y Combinator's Winter 2020 batch and shipped a first version in September 2020. The company reports more than 700 replication connectors, about 27,000 community members, more than 1,300 open-source contributors, more than 20,000 GitHub stars and US$181 million in funding. Its self-hosted edition, Airbyte Core, is free to use and modify under the Elastic License 2.0, with the customer responsible for running and maintaining it.
Managed cloud plans add hosting, upgrades and support. Standard starts at US$20 per month with five credits included (about 1 GB of syncs), and Plus starts at US$189 per month for 40 credits, rising through published credit packages to US$4,999 for 2,000 credits; Pro and Enterprise Flex use capacity-based pricing on dedicated compute units called Data Workers. The connector development kit lets teams build connectors for niche APIs, which is the main reason engineering-led organisations choose it. The trade-off is that community-maintained connectors vary in maturity, and self-hosting shifts upgrade, scaling and monitoring work onto the customer.
Key features
- 700+ replication connectors
- Free self-hosted Airbyte Core (Elastic License 2.0)
- Connector development kit for custom sources
- Capacity-based Data Workers on Pro and Enterprise Flex
- 14-day cloud trial without a card
Pricing
Core: free, self-hosted. Standard: from US$20/month (5 credits, about 1 GB). Plus: from US$189/month (40 credits), 100 credits US$449, 250 US$999, 500 US$1,799, 1,000 US$3,199, 2,000 US$4,999. Pro and Enterprise Flex: custom, capacity-based. 14-day trial, no card required.
- Founders
- Michel Tricot, Jean Lafleur
- Funding
- US$181 million (company figure)
- Connectors
- 700+
- Pricing
- Free self-hosted; cloud from US$20/month
Strengths
- Free self-hosted option
- Transparent published credit packages
- Large open-source community
- Custom connector tooling
Limitations
- Connector quality varies
- Self-hosting requires operations effort
- Elastic License 2.0 is not an OSI open-source licence
- Capacity plans are quote-based
6
Serverless Spark ETL and data catalogue on AWS
Best for: Organisations whose data already lives on AWS
AWS Glue is Amazon Web Services' serverless data integration service. It runs Apache Spark jobs without infrastructure for the customer to manage, scales workers automatically, and stores table definitions, schemas and job definitions in the Glue Data Catalog, which crawlers populate by scanning data stores. Glue Studio provides a drag-and-drop editor that generates Python or Scala Spark code, and Glue DataBrew offers more than 250 built-in no-code transformations for data preparation. Built-in Data Quality recommends rules and raises alerts, and zero-ETL integrations replicate source changes into Amazon Redshift or a SageMaker lakehouse within minutes.
Pricing is published: ETL jobs and crawlers cost US$0.44 per DPU-hour, billed by the second, and the first million Data Catalog objects stored and first million accesses each month are free. Flex jobs can cut costs for non-urgent workloads by up to 35%. Glue is the natural choice for AWS-centric teams, but its connector catalogue for SaaS applications is narrower than specialist ELT tools, and building jobs still requires Spark knowledge for anything beyond the visual editor. AWS notes that Glue for Ray stops accepting new customers on 30 April 2026.
Key features
- Serverless Apache Spark with auto scaling
- Glue Data Catalog and crawlers
- Glue Studio visual job editor
- DataBrew with 250+ no-code transformations
- Zero-ETL into Redshift and SageMaker lakehouse
- Data Quality rules and alerts
Pricing
Pay-as-you-go: US$0.44 per DPU-hour for ETL jobs and crawlers, billed per second. Data Catalog: first 1 million objects stored and first 1 million accesses per month free. Flex execution reduces cost for non-urgent jobs by up to 35%.
- Provider
- Amazon Web Services
- Pricing
- US$0.44 per DPU-hour
- Free tier
- 1M catalog objects and 1M accesses/month
Strengths
- Published per-second pricing
- No servers to manage
- Deep integration with S3, Redshift and Lake Formation
- Shared Data Catalog used by other AWS analytics services
Limitations
- Tied to AWS
- Fewer SaaS connectors than ELT specialists
- Spark expertise needed for complex jobs
- Glue for Ray closed to new customers
7
Microsoft's hybrid pipeline orchestration and ETL service
Best for: Microsoft-centric organisations with on-premises and Azure sources
Azure Data Factory (ADF) is Microsoft's managed cloud service for hybrid ETL, ELT and data integration. Pipelines group activities for data movement, transformation and control flow; linked services hold connection details; and integration runtimes provide the compute that bridges activities and data stores, including self-hosted runtimes for on-premises sources. Mapping data flows let engineers build transformation graphs that run on Spark clusters that ADF starts and stops on demand, and external activities can run transformations on Azure Databricks, HDInsight or SQL. Pipelines support CI/CD through Azure DevOps and GitHub, and monitoring through Azure Monitor.
Microsoft now describes Data Factory in Microsoft Fabric as the next generation of ADF and offers an upgrade path for existing workloads, which buyers should weigh when starting new projects. ADF billing is consumption-based: orchestration is charged per activity run, trigger execution and debug run, data movement per Data Integration Unit (DIU) hour, and data flows per vCore-hour, with a minimum data-flow cluster of eight vCores, prorated by the minute. The pricing page renders rates dynamically by region, so exact figures should be read from the Azure calculator.
Key features
- Visual pipelines with control flow and triggers
- Mapping data flows on managed Spark
- Self-hosted integration runtime for on-premises data
- CI/CD via Azure DevOps and GitHub
- Monitoring through Azure Monitor
- Upgrade path to Fabric Data Factory
Pricing
Consumption-based: orchestration per activity run, data movement per DIU-hour, mapping data flows per vCore-hour (General Purpose or Memory Optimized, eight-vCore minimum, billed per minute). Regional rates are shown in the Azure pricing calculator.
- Provider
- Microsoft
- Pricing
- Consumption-based per run, DIU-hour and vCore-hour
Strengths
- Strong hybrid connectivity via self-hosted runtime
- Integrated with Microsoft security (Entra ID, RBAC)
- Pay-per-use with no licence
- Orchestrates external compute such as Databricks
Limitations
- Microsoft positions Fabric as its successor
- Data-flow clusters have an eight-vCore minimum
- Cost model has several meters
- Best value only inside Azure
8
SQL-based transformation layer for the 'T' in ELT
Best for: Analytics engineering teams transforming data inside the warehouse
dbt is not an extraction tool: it handles the transformation step of ELT by compiling SQL (and Python) models into queries that run inside the warehouse, with version control, testing, documentation and lineage. It is included here because most modern ELT stacks pair an ingestion tool with dbt. dbt Labs merged with Fivetran in an all-stock deal completed on 1 June 2026, and the dbt Fusion engine runtime was open-sourced as dbt Core v2.0 (alpha) under the Apache 2.0 licence.
The managed product has four tiers. Developer is free for one seat with 3,000 models built per month and includes the browser IDE, job scheduling and CI checks but no API access; Starter costs US$100 per user per month for up to five seats, 15,000 models built and 5,000 semantic-layer metric queries; Enterprise and Enterprise+ are custom-priced with 100,000 models built and 30 or unlimited projects. A 14-day trial includes all features. The main limitation for buyers comparing ETL tools is scope: dbt needs a separate ingestion product and a warehouse, and per-seat pricing grows with team size.
Key features
- SQL and Python models compiled to warehouse queries
- Built-in tests, documentation and lineage
- Browser IDE and job scheduler
- Semantic layer metrics
- CI checks on pull requests
- Open-source dbt Core
Pricing
Developer: free, 1 seat, 3,000 models built/month. Starter: US$100 per user/month, up to 5 seats, 15,000 models built, 5,000 metric queries. Enterprise and Enterprise+: custom, 100,000 models built, 30 or unlimited projects. 14-day trial.
- Owner
- Fivetran (merger completed 1 June 2026)
- Pricing
- Free; Starter US$100/user/month
- Open source
- dbt Core (Apache 2.0)
Strengths
- De facto standard for in-warehouse transformation
- Free tier and open-source core
- Testing and lineage built in
- Published per-seat price
Limitations
- No extraction or loading
- Per-seat cost scales with team size
- API access not on free plan
- Requires SQL skills
9
No-code ELT pipelines with event-based plans
Best for: Mid-sized teams wanting predictable tiered pricing
Hevo Data offers a no-code platform for building ELT pipelines from databases, SaaS applications and files into cloud warehouses, aimed at teams that want managed ingestion without writing connectors. Its pricing is based on events, which Hevo defines as each record inserted, updated or deleted in the destination. Two self-serve plans are published: Starter at US$299 per month, or US$265 per month billed annually, with volume options of 5, 20 or 50 million events, and Professional at US$849 per month, or US$750 billed annually, with 20, 50 or 100 million events. Enterprise is a custom-priced fixed plan with unlimited data volume per pipeline.
Usage beyond a plan's quota is billed on demand, and some add-ons are excluded from the lower plans. A 14-day trial without a credit card is available. Hevo's event-based tiers are easier to budget than row-based models with variable rates, but the step from Starter to Professional is significant, and teams with heavy update traffic should model how many destination writes their sources generate, since every update counts as an event.
Key features
- No-code pipeline builder
- Event-based tiered plans
- Annual billing discount of 12%
- Fixed-price Enterprise with unlimited volume
- 14-day trial without card
Pricing
Starter: US$299/month (US$265 billed annually), 5M/20M/50M events. Professional: US$849/month (US$750 annually), 20M/50M/100M events. Enterprise: custom, unlimited volume per pipeline. Overage billed on demand; 14-day trial.
- Pricing
- From US$299/month (Starter)
- Free trial
- 14 days, no card
Strengths
- Published tier prices
- Simple event definition
- No-code setup
- Fixed-price option for large volumes
Limitations
- Updates count as billable events
- Large price step between tiers
- Some add-ons unavailable on lower plans
- Less suited to custom connector work
10
E
Real-time CDC and batch pipelines priced per GB
Best for: Teams needing low-latency CDC at transparent per-GB prices
Estuary (product name Estuary Flow) is a data movement platform built around real-time change data capture, which also supports batch sources and in-flight transformations. Its pricing is among the most transparent in the category. The Developer tier is free for up to 10 GB per month and two connector instances, with no credit card. The Cloud tier is pay-as-you-go at US$0.50 per GB plus US$100 per month per connector instance for the first six and US$50 per instance thereafter, prorated by the hour; data is counted each time it is captured from a source and each time it is delivered to a destination, including transformation output.
Enterprise contracts add annual discounts, private and bring-your-own-cloud deployment, single sign-on, a SOC 2 report and a HIPAA business associate agreement. Exceeding Developer limits starts a 30-day free trial of the Cloud tier automatically. Estuary is a younger and smaller vendor than Fivetran or Informatica, so its connector catalogue and partner ecosystem are narrower, and the double counting of captured and delivered data should be included when comparing per-GB prices with row-based competitors.
Key features
- Real-time change data capture
- Batch and streaming in one pipeline
- Free Developer tier (10 GB, 2 connectors)
- BYOC and private deployment on Enterprise
- SOC 2 report and HIPAA BAA on Enterprise
Pricing
Developer: free up to 10 GB/month and 2 connector instances. Cloud: US$0.50/GB plus US$100/month per connector instance (US$50 after the sixth). Enterprise: custom annual contract. 30-day trial when exceeding Developer limits.
- Pricing
- US$0.50/GB + US$100 per connector/month
- Free tier
- 10 GB/month, 2 connectors
Strengths
- Transparent per-GB pricing
- Low-latency CDC
- Free tier for small projects
- BYOC option
Limitations
- Data counted on capture and on delivery
- Smaller connector catalogue
- Younger vendor
- Connector fee adds up with many sources
11
Low-code ETL, ELT and CDC with a flat monthly fee
Best for: Companies wanting a fixed price regardless of data volume
Integrate.io is a low-code data pipeline platform that says it has served data teams for more than a decade. The company describes itself as privately owned, cash-flow positive and not dependent on venture funding, with a remote-first team and customers ranging from start-ups to Fortune 100 enterprises.
Its pricing approach differs from most of the category. The single published plan, Integrate.io Core, costs US$1,999 per month and includes unlimited data volumes, unlimited pipelines and unlimited connectors; the company's FAQ states that the cost stays the same whether a customer moves 2 million or 200 million rows. Add-ons such as advanced security and compliance, team role-based access control and HIPAA readiness are configured in a plan builder without listed prices. A 14-day trial with full feature access and no credit card is offered. The flat fee benefits high-volume users but is expensive for small teams moving modest data, for whom free tiers from Fivetran, Airbyte or Estuary cost far less.
Key features
- Low-code visual pipeline design
- Unlimited volume, pipelines and connectors on Core
- HIPAA readiness add-on
- Role-based access control add-on
- 14-day full-feature trial
Pricing
Core: US$1,999/month flat, unlimited data volume, pipelines and connectors. Add-ons priced on request. 14-day trial, no card.
- Pricing
- US$1,999/month flat
- Ownership
- Privately owned (company statement)
Strengths
- Predictable flat price
- No volume metering
- Low-code interface
- Compliance add-ons
Limitations
- High entry price for small volumes
- Add-on prices not published
- Less known outside mid-market
- Fewer developer-oriented extension options
12
Simple row-based ELT service, part of Qlik through Talend
Best for: Small teams replicating SaaS data with simple row-based plans
Stitch is a lightweight cloud ELT service that replicates data from SaaS applications and databases into a warehouse. It is a Talend product, and Talend is now part of Qlik; the Stitch site is branded "Stitch – A Qlik product" and its copyright notice names Talend, Inc..
Prices are published for US customers. Standard starts at US$100 per month with row options from 5 million to 300 million rows per month, billed monthly or annually; Advanced costs US$1,500 per month billed annually with 100 million rows and three destinations; Premium costs US$3,000 per month billed annually with 1 billion rows and five destinations; a Platform plan for agencies is quote-based. A 14-day trial includes all integrations and unlimited rows. International customers must contact sales for pricing. Stitch remains useful for simple replication, but development attention within Qlik has shifted to Qlik Talend Cloud, and transformation features are minimal compared with the larger platforms.
Key features
- Row-based replication plans
- SaaS and database sources
- Up to 5 destinations on Premium
- 14-day trial with unlimited rows
Pricing
Standard: from US$100/month (5M to 300M rows). Advanced: US$1,500/month billed annually (100M rows, 3 destinations). Premium: US$3,000/month billed annually (1B rows, 5 destinations). Platform: quote. Prices are US-only.
- Owner
- Qlik (via Talend)
- Pricing
- From US$100/month
Strengths
- Low entry price
- Simple row-based billing
- Quick setup
- Unlimited rows during trial
Limitations
- Limited transformation
- Published prices US-only
- Product focus within Qlik now on Qlik Talend Cloud
- Fewer enterprise controls
13
R
SaaS ELT and orchestration platform, now part of Boomi
Best for: Teams wanting ingestion, transformation and orchestration in one SaaS tool
Rivery is a SaaS ELT platform that combines source connectors, SQL and Python transformations and workflow orchestration. It is now part of Boomi: its pricing page uses the term "Boomi Data Unit" (BDU) for credits, which it says are also known as Rivery Pricing Unit (RPU) credits, and links to Boomi-hosted documentation and community forums.
The Base plan is described as an introductory pay-as-you-go edition at US$0.90 per BDU credit, billed monthly, limited to two users and one environment. Professional, Pro Plus and Enterprise plans add users, environments, larger replication volumes and security controls, with prices on request. The trial gives access to Professional features for 14 days or 1,000 credits, valued by Rivery at US$1,200, whichever is used first. Rivery's combination of ingestion and orchestration reduces the number of tools a small team needs, but the credit model requires tracking consumption, and its long-term product direction now depends on Boomi's integration roadmap.
Key features
- ELT connectors plus orchestration
- SQL and Python transformations
- Credit-based consumption (BDU/RPU)
- Multiple environments on higher plans
- 14-day or 1,000-credit trial
Pricing
Base: US$0.90 per BDU credit, monthly, 2 users, 1 environment. Professional, Pro Plus, Enterprise: on request. Trial: 14 days or 1,000 credits.
- Owner
- Boomi
- Pricing
- US$0.90 per credit (Base)
Strengths
- Ingestion and orchestration in one tool
- Published Base credit price
- Generous trial credit
- Python support
Limitations
- Credit consumption needs monitoring
- Higher plans quote-based
- Roadmap tied to Boomi
- Base plan limited to two users
Frequently asked questions
What is the difference between ETL and ELT?
ETL transforms data in a separate engine before loading it into the destination, while ELT loads raw data first and transforms it inside the warehouse using SQL. ELT became common with cloud warehouses because storage and compute there scale on demand. Tools such as Fivetran and Airbyte handle extraction and loading, and dbt handles the in-warehouse transformation step.
Which ETL tools are free?
Airbyte Core can be self-hosted free under the Elastic License 2.0. Fivetran's Free plan covers up to 500,000 monthly active rows, Estuary's Developer tier covers 10 GB and two connectors a month, and dbt's Developer plan is free for one user. AWS Glue's Data Catalog is free for the first million objects and accesses, but job runs are charged.
How much does Fivetran cost?
Fivetran bills on monthly active rows, with a Free plan up to 500,000 MAR and usage-based paid plans whose rate falls as volume grows. Standard connections carry a US$5 base charge between 1 and 1 million MAR. Its pricing examples show individual connectors costing from about US$16 to US$425 a month, and annual contracts begin at US$12,000.
Is Talend still available?
Talend's products are now sold by Qlik as Qlik Talend Cloud, available in Starter, Standard, Premium and Enterprise packages and as a client-managed option. Stitch, the lightweight ELT service Talend had acquired, also remains on sale under Qlik branding with published row-based prices for US customers.
Who owns Informatica?
Salesforce completed its acquisition of Informatica on 18 November 2025. Informatica continues to sell its Intelligent Data Management Cloud, which covers data integration, data quality, master data management and governance, and now describes itself as Informatica from Salesforce. Pricing remains quote-based on Informatica Processing Units.
Is AWS Glue an ETL tool?
Yes. AWS Glue is a serverless data integration service that runs Apache Spark ETL jobs, crawls data stores to populate a shared Data Catalog and provides a visual job editor and the DataBrew data preparation tool. It costs US$0.44 per DPU-hour for jobs and crawlers, billed per second.
What is the best ETL tool for small businesses?
Small teams usually prioritise low setup effort and a free or cheap entry plan. Common choices are Fivetran's free tier, Airbyte Cloud from US$20 a month, Stitch from US$100 a month, Hevo from US$299 a month and Estuary's free Developer tier, combined with dbt's free Developer plan for transformation.
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