10 Best ETL Tools of 2026

1. 1

   Airbyte

   An open-source data integration platform with 700+ connectors, available self-hosted for free or as Airbyte Cloud.

   8.7overall

   An open-source data integration platform with 700+ connectors, available self-hosted for free or as Airbyte Cloud.

   Best forEngineering-led teams that want open source, custom connectors or a cheap managed start.

   Adoption data

   25,000Airbyte says more than 25,000 companies use its platform, including one in five Fortune 500 companies.

   Airbyte, Airbyte homepage: In production, at scale (2026): “25,000+ Companies 1 in 5 Fortune 500 companies”

   Airbyte started as an open-source alternative to closed ELT services and now lists 700+ connectors, plus a Connector Builder for sources that are not in the catalog. Teams can run Airbyte Core themselves for free or pay for Airbyte Cloud, where Standard starts at $20 a month with 5 credits, about 1 GB of syncs, and hourly syncs. Plus starts at $189 a month for 40 credits and adds SSO and 15-minute syncs, while Pro moves to flat capacity pricing with 5-minute syncs for production volume. Enterprise Flex keeps data inside your own VPC or on premises. Airbyte reports more than 25,000 companies on the platform, including one in five Fortune 500 companies, and 26 billion records moved daily. The trade-off is that credits per GB add up as volume grows, and the self-hosted route shifts maintenance onto your team. For teams with engineers who are comfortable with open source, it offers the most flexibility per dollar. We compared documented features and published prices rather than running benchmarks.

   Strengths

   • +Free self-hosted option with the same connectors
   • +Lowest published entry price for a managed ELT plan here
   • +Large adoption base of more than 25,000 companies

   Limitations

   • −Standard includes only about 1 GB of syncs before extra credits
   • −Self-hosting means you run upgrades and infrastructure
   • −Pro and Enterprise Flex prices are quote-only

   SummaryAirbyte is the best value pick for engineering-led teams and the obvious choice if you want open source. Move to Pro capacity pricing once volume makes credits expensive.

2. 2

   Fivetran

   A fully managed ELT service that replicates SaaS, database and file data into warehouses and lakes, billed by monthly active rows.

   8.7overall

   A fully managed ELT service that replicates SaaS, database and file data into warehouses and lakes, billed by monthly active rows.

   Best forData teams that want hands-off, vendor-maintained connectors into Snowflake, BigQuery, Databricks or Redshift.

   Adoption data

   $600MFivetran said its merger with dbt Labs would create a combined company approaching $600 million in annual recurring revenue; the merger was announced in October 2025.

   Fivetran, Fivetran and dbt Labs Unite to Set the Standard for Open Data Infrastructure (2025): “Following close of the transaction, the combined company will be approaching $600M in annual recurring revenue (ARR).”

   Fivetran is the reference managed ELT service: you pick a source, pick a destination, and Fivetran maintains the connector, the schema mapping and the incremental sync. The Standard plan lists 700+ fully managed connectors, 15-minute syncs, unlimited users, dbt Core integration, role-based access control and API access. Pricing is usage-based on monthly active rows, the distinct rows that change in a month, with a $5 base charge on each standard connection that moves between 1 and 1 million MAR. The pricing page publishes median monthly list prices for common sources, such as $22.06 for Facebook Ads and $424.54 for Marketo on Standard, which helps with estimates. A free plan covers 500,000 MAR and 5,000 model runs a month. Adoption is strong: the merger with dbt Labs, completed in 2026, was set to form a company approaching $600 million in ARR. The main drawback is forecasting, since high-churn tables drive MAR up fast. We compared documented features and published prices rather than running benchmarks.

   Strengths

   • +Largest disclosed revenue base among independent ELT vendors here
   • +Permanent free plan for low volumes
   • +Published median monthly prices for common connectors

   Limitations

   • −MAR billing makes costs hard to forecast for chatty sources
   • −Base charge applies to every standard connection
   • −Private networking and finer controls sit in higher plans

   SummaryFivetran is the safest choice when you want connectors you never have to maintain. Model MAR on your busiest tables before signing an annual contract.

3. 3

   AWS Glue

   A serverless data integration service on AWS for discovering, preparing, moving and transforming data with Apache Spark.

   8.6overall

   A serverless data integration service on AWS for discovering, preparing, moving and transforming data with Apache Spark.

   Best forAWS-native teams that want Spark ETL, a central Data Catalog and zero-ETL feeds into Redshift.

   Adoption data

   $46.0 billionAWS does not report Glue usage separately; its whole AWS segment had sales of $46.0 billion in the third quarter of 2026, up 39% year over year.

   Amazon, Amazon.com Announces Third Quarter Results (2026): “AWS segment sales increased 39% year-over-year to $46.0 billion.”

   AWS Glue is Amazon's serverless data integration service, built around Apache Spark jobs, the Glue Data Catalog and a set of tools for preparing data. Crawlers connect to sources and register schemas in the catalog, which Athena, Redshift and EMR can then query. Glue Studio adds job notebooks and interactive sessions, DataBrew gives analysts a point-and-click way to clean data, and Glue Data Quality monitors rules across lakes and pipelines. Zero-ETL integrations replicate DynamoDB, some SaaS apps and self-managed Oracle, MySQL, SQL Server and PostgreSQL databases into Redshift or a SageMaker lakehouse without building pipelines. Pricing is $0.44 per DPU-hour, so AWS's own example of a 6 DPU job running 15 minutes costs $0.66. AWS does not break out Glue revenue, so we cite the AWS segment's $46.0 billion of quarterly sales and score adoption on that basis. The trade-off is effort: Glue gives you compute and tooling, not hundreds of maintained SaaS connectors. We compared documented features and published prices rather than running benchmarks.

   Strengths

   • +Pay only while jobs run, at a clear DPU-hour rate
   • +Deep integration with S3, Redshift, Lake Formation and IAM
   • +Catalog and schema registry shared across AWS analytics services

   Limitations

   • −Fewer ready-made SaaS connectors than managed ELT tools
   • −Spark jobs need engineering skill to build and tune
   • −Adoption figure covers all of AWS, not Glue alone

   SummaryAWS Glue is the default ETL engine for teams whose data already lives in S3 and Redshift. Pair it with a managed connector tool if you have many SaaS sources.

4. 4

   Azure Data Factory

   Microsoft's managed, serverless data integration service for building ETL and ELT pipelines on Azure.

   8.5overall

   Microsoft's managed, serverless data integration service for building ETL and ELT pipelines on Azure.

   Best forAzure and Microsoft data teams that want code-free pipelines, hybrid integration runtimes and pay-per-run pricing.

   Adoption data

   48%Microsoft does not report Data Factory usage separately; it said Azure revenue grew 48% in the quarter ended September 30, 2026.

   Microsoft, Microsoft Fiscal Year 2027 First Quarter Earnings Conference Call (2026): “Azure revenue was ahead of expectations and increased 48%, even with the 3P capacity delays noted earlier, driven by Foundry and improved CPU monetization.”

   Azure Data Factory is Microsoft's serverless service for building and scheduling data pipelines. It ships more than 90 built-in connectors at no added cost and lets engineers design ETL or ELT flows on a visual canvas or in code, then deliver data into Azure Synapse Analytics and other Azure stores. Integration runtimes decide where work runs: the Azure runtime for cloud sources, a managed virtual network option for private access and a self-hosted runtime for on-premises systems. Pricing is split into meters. Orchestration costs $1 per 1,000 runs on the Azure runtime, data movement $0.25 per DIU-hour, and pipeline activities and mapping data flows are billed separately, so small copy jobs are cheap while heavy transformation adds up. Microsoft does not report Data Factory usage, so we cite Azure's 48 percent revenue growth for the September 2026 quarter and score adoption on that. The catalog is smaller than the SaaS-first tools, and estimating a bill takes the pricing calculator. We compared documented features and published prices rather than running benchmarks.

   Strengths

   • +Low per-run and per-hour rates for orchestration and copy jobs
   • +Self-hosted runtime reaches on-premises databases
   • +Connectors included at no extra charge

   Limitations

   • −Several meters make bills harder to estimate
   • −Smaller connector catalog than Fivetran or Airbyte
   • −Adoption figure covers Azure as a whole

   SummaryAzure Data Factory is the practical choice for Microsoft shops that need hybrid pipelines at low per-run cost. Teams with dozens of SaaS sources may still add a managed connector tool.

5. 5

   Informatica Cloud Data Integration

   The data integration service of Informatica's Intelligent Data Management Cloud (IDMC), now part of Salesforce.

   8.3overall

   The data integration service of Informatica's Intelligent Data Management Cloud (IDMC), now part of Salesforce.

   Best forLarge enterprises that need ETL alongside data quality, master data management, cataloging and governance on one platform.

   Adoption data

   $968.6 millionInformatica reported Cloud Subscription ARR of $968.6 million for the quarter ended September 30, 2025, up 29.5% from a year earlier, in its last quarterly report before Salesforce acquired it.

   Informatica, Informatica Reports Third Quarter 2025 Financial Results (Form 8-K, Exhibit 99.1) (2025): “Cloud Subscription ARR increased to $968.6 million, representing 29.5% year-over-year growth”

   Informatica Cloud Data Integration is one service inside the Intelligent Data Management Cloud, a platform that also covers application and API integration, B2B partner onboarding, data quality and observability, cataloging, master data management and governance. Integration jobs are built no-code with AI assistance from CLAIRE, and the platform runs across Azure, AWS, Google Cloud, Oracle and Snowflake. That breadth is the reason to pick it: large companies can move, clean, govern and master data with one vendor and one security model. Adoption is well documented. Informatica's last quarterly report before the Salesforce acquisition showed Cloud Subscription ARR of $968.6 million, up 29.5 percent, and the site cites more than 5,000 enterprise customers. The downside for this audience is cost transparency. We did not find a public USD price list, so pricing is pending, and buying runs through sales. A 30-day cloud trial is available. We compared documented features and published prices rather than running benchmarks.

   Strengths

   • +Broadest data management suite in this list
   • +Largest disclosed cloud ARR among the vendors here
   • +Fits complex hybrid and regulated estates

   Limitations

   • −No public USD price list on the product pages we checked
   • −More platform than a small team needs
   • −Sales-led buying process

   SummaryInformatica suits enterprises that want integration, quality and governance under one contract. Smaller teams loading a warehouse will find simpler and cheaper tools above.

6. 6

   Google Cloud Data Fusion

   A fully managed, visual data integration service on Google Cloud built on the open-source CDAP project.

   8.0overall

   A fully managed, visual data integration service on Google Cloud built on the open-source CDAP project.

   Best forGoogle Cloud teams that want visual ETL pipelines into BigQuery with lineage and an open-source core.

   Adoption data

   $30.7 billionGoogle does not report Data Fusion usage separately; Google Cloud revenue rose 103% to $30.7 billion in the third quarter of 2026.

   Alphabet, Alphabet Announces Third Quarter 2026 Results (Form 8-K, Exhibit 99.1) (2026): “Google Cloud delivered record growth as revenues increased 103% to $30.7 billion”

   Cloud Data Fusion is Google Cloud's managed service for building ETL and ELT pipelines on a visual canvas. It is built on CDAP, an open-source framework, which helps if you ever need to move pipelines elsewhere, and it lists more than 150 preconfigured connectors and transformations at no extra cost. End-to-end lineage shows where each field came from and what breaks if a source changes, and the service is integrated with BigQuery and other Google Cloud products. Pricing has two parts. You pay for the instance used to design and run pipelines: $0.35 an hour on Developer, $1.80 on Basic after the first 120 free hours a month, and $4.20 on Enterprise. Pipeline execution then runs on Apache Spark clusters billed separately. Google does not report Data Fusion usage, so we cite Google Cloud's $30.7 billion of quarterly revenue. It is a good fit for BigQuery-centered teams that prefer visual tools, less so for teams that need a long list of maintained SaaS connectors. We compared documented features and published prices rather than running benchmarks.

   Strengths

   • +Low Developer edition rate and 120 free Basic hours a month
   • +Lineage included for impact analysis
   • +Open-source core reduces lock-in

   Limitations

   • −Execution clusters add a second bill on top of instance hours
   • −Fewer maintained SaaS connectors than ELT specialists
   • −Adoption figure covers all of Google Cloud

   SummaryData Fusion is a sound visual ETL option for teams standardized on Google Cloud. Budget for execution clusters, not only the instance rate.

7. 7

   Qlik Talend Cloud

   Qlik's cloud data integration platform combining Talend ETL, Qlik change data capture and data quality, which also replaces Stitch for new buyers.

   7.9overall

   Qlik's cloud data integration platform combining Talend ETL, Qlik change data capture and data quality, which also replaces Stitch for new buyers.

   Best forEnterprises that want real-time CDC, transformation and data quality with a choice of cloud, client-managed or hybrid deployment.

   Adoption data

   75%Qlik says 75% of the Fortune 500 are its customers, across its analytics and data integration products.

   Qlik, About Qlik (2026): “75% of Fortune 500 customers”

   Qlik Talend Cloud brings together Talend's ETL and data quality tools and Qlik's change data capture into four plans. Starter moves data from SaaS apps and databases to the main cloud warehouses with ready-to-query schemas. Standard adds log-based CDC for real-time sync, cloud, client-managed or hybrid deployment and private networking. Premium adds ELT or ETL transformations, warehouse and lakehouse automation, column-level lineage, data products, data quality and stewardship, and the Qlik Talend Trust Score. Enterprise adds SAP and mainframe connectivity. Qlik also owns Stitch and now directs new Stitch prospects to this platform, so we list it here instead. Qlik is private and does not report integration revenue, but it says 75 percent of the Fortune 500 are customers across its products. Every plan is sold through sales, so we could not verify a USD price and the value score is conservative. It fits enterprises with real-time and governance needs better than small teams. We compared documented features and published prices rather than running benchmarks.

   Strengths

   • +Strong real-time CDC heritage from Qlik Replicate
   • +Data quality and stewardship built in
   • +Flexible deployment, including client-managed

   Limitations

   • −No published prices on any plan
   • −Four tiers make it easy to land on the wrong one
   • −Customer figure covers all Qlik products, not integration alone

   SummaryQlik Talend Cloud is a strong enterprise pick when real-time CDC and data quality matter. Expect a sales process and get quotes for two tiers before deciding.

8. 8

   Hevo Data

   A no-code data pipeline platform with 190+ connectors, dbt-based modeling and event-based or fixed pricing.

   7.7overall

   A no-code data pipeline platform with 190+ connectors, dbt-based modeling and event-based or fixed pricing.

   Best forMid-sized teams that want a simple managed pipeline tool with a predictable monthly bill.

   Adoption data

   2,000Hevo says more than 2,000 companies worldwide use its platform.

   Hevo Data, Hevo Data homepage (2026): “Trusted by 2,000+ companies worldwide”

   Hevo Data is a managed, no-code pipeline tool aimed at teams that want to load data without running infrastructure or reading a complicated bill. It lists 190+ pre-built connectors and will build a connector if yours is missing, and it combines ingestion with dbt, SQL and Hevo Transformer modeling jobs. Pricing is published by event volume. Starter costs $299 a month for 5 million events with 1-hour scheduling, up to 10 users, dbt integration, SSH and SSL, and 24x7 email and chat support; Professional starts at $849 and adds unlimited users, APIs and reverse SSH. Annual billing saves 12 percent, and an Enterprise plan charges one fixed price per pipeline for unlimited volume. Hevo says more than 2,000 companies use the platform and that it processes more than a petabyte a month. The entry price is high next to Airbyte or Fivetran's free tier, and hourly syncs on Starter limit freshness. We compared documented features and published prices rather than running benchmarks.

   Strengths

   • +Clear published tiers by event volume
   • +24x7 email and live chat support on Starter
   • +Fixed-price option protects against volume spikes

   Limitations

   • −Highest published entry price among the managed tools here
   • −Starter syncs no more often than hourly
   • −Smaller connector catalog than Fivetran or Airbyte

   SummaryHevo is a good fit for mid-sized teams that want a predictable bill and responsive support. Small teams can start cheaper elsewhere.

9. 9

   Matillion

   A cloud data integration and transformation platform, Maia Foundation (formerly Data Productivity Cloud), with an agentic assistant called Maia.

   7.7overall

   A cloud data integration and transformation platform, Maia Foundation (formerly Data Productivity Cloud), with an agentic assistant called Maia.

   Best forTeams on Snowflake, Databricks, BigQuery or Redshift that want low-code pipelines with SQL and Python.

   Adoption data

   1,200Matillion says more than 1,200 enterprises use its platform.

   Matillion, Matillion homepage (2026): “1,200+ Enterprises trust Matillion”

   Matillion has been building ETL for cloud warehouses since 2011 and now sells Maia Foundation, formerly the Data Productivity Cloud, with more than 150 connectors plus orchestration and governance across Snowflake, Databricks, BigQuery and Redshift. Pipelines are built on a low-code canvas with SQL and Python components, versioned in a built-in Git repository, and can be generated or managed by Maia, Matillion's set of AI agents. Three plans are listed. Developer gives one developer user and unlimited projects, Teams adds five developer users, an audit log and an SLA, and Scale adds custom SSO, hybrid deployment, lineage, streaming change data capture and longer log retention. All plans consume credits for task hours and other usage, but the page does not show a USD credit price, so pricing is pending. Matillion says more than 1,200 enterprises use it. It is best for teams that do heavy transformation work in the warehouse. We compared documented features and published prices rather than running benchmarks.

   Strengths

   • +Strong transformation tooling inside the warehouse
   • +Supports the four major cloud warehouses
   • +Custom connectors without code

   Limitations

   • −Credit prices are not published as USD figures on the pricing page
   • −Developer plan limited to one developer user
   • −CDC and custom SSO only on Scale

   SummaryMatillion suits warehouse-centric teams that want visual and code-based transformation in one place. Ask for a credit estimate before choosing a plan.

10. 10

    Estuary

    A real-time and batch data movement platform with change data capture, exactly-once delivery and 200+ connectors.

    7.6overall

    A real-time and batch data movement platform with change data capture, exactly-once delivery and 200+ connectors.

    Best forTeams that need low-latency CDC from databases into warehouses at a volume-based price.

    Estuary moves data in real time or in batches from one platform, reading each source once and delivering it to each destination on its own schedule. It lists 200+ connectors, including CDC from PostgreSQL, MySQL, SQL Server, MongoDB and Oracle, SaaS sources such as Salesforce and NetSuite, and destinations such as Snowflake, BigQuery, Databricks and Iceberg. Exactly-once delivery, automatic schema evolution and in-flight transformations come on every plan, and private or bring-your-own-cloud deployment keeps data inside your network. Pricing is simple. The Developer plan is free up to 10 GB a month and two connector instances, and Cloud costs $0.50 per GB plus $100 a month per connector instance, falling to $50 after the sixth, with a 30-day trial. Because it bills by bytes rather than rows, it can cost less than MAR pricing for busy tables. Estuary has not published a customer count, so adoption is scored conservatively. We compared documented features and published prices rather than running benchmarks.

    Strengths

    • +Permanent free Developer plan
    • +Simple per-GB pricing that suits high-row, low-byte sources
    • +Sub-second CDC without running Kafka yourself

    Limitations

    • −No published customer count or revenue figure
    • −Connector fees add up across many small sources
    • −Smaller SaaS catalog than Fivetran or Airbyte

    SummaryEstuary is the best value for real-time CDC into a warehouse. Its adoption is less proven than the leaders, so test support and connector depth in the trial.

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