Best ETL Tools 2026
Best ETL Tools in 2026: From Fivetran to Open Source
“ETL tool” now covers three genuinely different jobs: syncing dozens of SaaS sources into a warehouse, transforming data that's already there, and reacting to data once it exists. This page compares nine platforms across all three — Fivetran, Airbyte, Stitch, dbt Cloud, Matillion, Hevo, Rivery, and Meltano, plus where Fastero fits and where it deliberately doesn't.
The dirty secret of ETL tooling
Most “ETL” is actually ELT, and most buyers overpay for connectors they don't use
Almost none of the tools on this page transform data before loading it anymore. Fivetran, Airbyte, Hevo, Stitch, Rivery — they all extract raw data and load it into your warehouse first, then leave transformation to dbt or the warehouse's own SQL engine. The industry still says “ETL” because that's what people search for, but the actual pattern everyone runs is extract-load-transform. Worth knowing before you evaluate anything here on an ETL-vs-ELT axis — that distinction mostly does not apply anymore.
The second thing worth knowing: connector count is the headline metric these tools compete on, and it is frequently irrelevant to the buyer. Fivetran's pitch is 500+ connectors, priced per monthly active row, which is a great deal if you genuinely sync 15 different SaaS tools and want zero maintenance. It is a terrible deal if you use four connectors and pay enterprise pricing for a catalog you never browse. Before comparing feature matrices, work out whether your problem is really “I need to ingest data from many disconnected SaaS sources” or “my data already lives in one database and I need to do something with it.” Those are different tools.
How to think about this market
Five categories of ETL/ELT in 2026
“ETL tool” is a search term, not a category. Segmenting honestly avoids comparing a connector-catalog product to a transform-only product on the same feature matrix.
Enterprise managed
Fivetran, Matillion
Fully managed, deepest connector catalogs, priced for teams with budget and scale. Zero-maintenance is the pitch; the cost curve is the tradeoff.
Mid-market managed
Hevo, Rivery, Stitch
Managed like Fivetran but priced and scoped for smaller teams — fewer connectors, simpler pricing tiers, less enterprise overhead.
Open source
Airbyte, Meltano
Free to self-host, connector catalogs rivaling the managed players. You trade license cost for infrastructure and maintenance ownership.
Transform-only
dbt Cloud
Not extraction or loading at all — the T after someone else does the EL. Everyone searches ETL tools and lands here anyway, so it belongs on this list.
Workflow-integrated
Fastero
Not a connector catalog at all — connects directly to a database or warehouse you already have, runs SQL transforms, and triggers workflows on change. A different shape of problem wearing the same search term.
Comparison at a glance
Nine tools across five segments. Pricing as of mid-2026.
| Tool | Type | Connectors | Pricing | Open source | Best for |
|---|---|---|---|---|---|
| Fivetran | Managed ETL | 500+ | From ~$1/MAR, $2k-10k+/mo at scale | No | Teams wanting zero-maintenance pipelines and the deepest connector catalog |
| Airbyte | Managed ETL / Open source | 350+ | Free (self-host) / Cloud from ~$300/mo | Yes | Fivetran-level connector breadth without Fivetran-level pricing |
| Stitch | Managed ETL | 130+ | From ~$100/mo | No | Smaller teams with standard SaaS sources and simple pricing needs |
| dbt Cloud | Transform-only | N/A (transforms in-warehouse) | From ~$100/mo (Team) | Core is OSS | Teams that already have data in the warehouse and need the T |
| Matillion | Enterprise ELT | 150+ | ~$2,000+/mo | No | Enterprises wanting visual transformation native to Snowflake/BigQuery/Redshift |
| Hevo Data | Managed ELT | 150+ | From ~$250/mo | No | Mid-market teams wanting simpler, more predictable pricing than Fivetran |
| Rivery | Managed ELT + orchestration | 200+ | From ~$500/mo | No | Teams wanting ETL and basic orchestration bundled into one tool |
| Meltano | Open-source ELT | Singer tap/target ecosystem (600+) | Free (self-host) | Yes | Engineering teams comfortable with CLI-first, code-defined pipelines |
| Fastero | Workflow-integrated | Direct DB/warehouse connections, not a connector catalog | Free tier / from $49/mo | No | Teams needing transforms + alerts + delivery, not a dedicated sync tool |
Detailed reviews by segment
Enterprise managed
Fivetran
From ~$1/MAR, $2k-10k+/mo at scale
Still the market leader for good reason — 500+ pre-built connectors that genuinely just work, schema drift handled automatically, and a support org that can debug a broken Salesforce sync at 2am. That reliability is what teams pay for. The tradeoff is the pricing model: cost scales with monthly active rows, which means a single high-volume source can blow up the bill in a way that is hard to predict in advance. Teams routinely go from a few hundred dollars a month to five figures as data volume grows, without changing anything about how they use the product. Best fit: teams with budget who want zero pipeline maintenance and value reliability over cost predictability.
Matillion
~$2,000+/mo
Matillion's pitch is different from Fivetran's: a visual, drag-and-drop transformation canvas that runs natively on Snowflake, BigQuery, or Redshift compute, aimed at teams who want ELT pipelines built by analysts rather than engineers writing dbt models. That visual layer is a genuine advantage for organizations with a low-code mandate or a team that is not SQL-first. The weakness is the same one every visual tool eventually hits: complex transformation logic gets harder to manage, version, and review inside a canvas than in code, and the connector catalog is smaller than Fivetran's or Airbyte's. Best fit: enterprises standardized on one cloud warehouse who want visual ELT without hiring dbt-fluent engineers.
Mid-market managed
Hevo Data
From ~$250/mo
Hevo's pitch is Fivetran-adjacent capability — 150+ sources, automated schema mapping, near-real-time sync — at pricing that is simpler to forecast, with tiers based on event volume rather than a formula that surprises finance every quarter. The connector catalog is meaningfully smaller than Fivetran's or Airbyte's, so it is worth checking your specific sources are covered before committing. Best fit: mid-market teams who want managed reliability without Fivetran's unpredictable cost curve.
Rivery
From ~$500/mo
Rivery bundles ETL with basic orchestration — scheduling, dependency chaining, and reverse ETL are built into the same platform rather than requiring a separate tool. For teams that want “sync plus schedule plus a bit of transform” in one bill, that consolidation is genuinely useful. The orchestration layer is basic compared to a dedicated tool like Airflow or Dagster, so teams with real dependency-graph complexity will outgrow it. Best fit: teams wanting ETL and lightweight orchestration without stitching two separate platforms together.
Stitch
From ~$100/mo
Stitch (now under Talend/Qlik) is the simplest, cheapest managed option here for standard SaaS sources — straightforward setup, predictable row-based pricing, and a UI that does not require training. It has not kept pace with Fivetran or Airbyte on connector breadth or newer integrations, and product investment has visibly slowed since the acquisition. Best fit: smaller teams with a handful of common SaaS sources who want the cheapest reliable managed option and do not need cutting-edge connector coverage.
Open source
Airbyte
Free (self-host) / Cloud from ~$300/mo
Airbyte is the closest thing to a direct Fivetran alternative — 350+ connectors, a similar UI paradigm, and a genuinely large community contributing new connectors constantly. Self-hosted, licensing cost drops to zero; you pay in infrastructure and the engineering time to run and monitor it, which is a real cost even if it does not show up as a line-item invoice. Airbyte Cloud removes that operational burden at a price still typically well under Fivetran for comparable volume. Connector reliability varies more than Fivetran's — community-maintained connectors are not all equally polished. Best fit: teams wanting Fivetran-level breadth without Fivetran-level spend, and either DevOps capacity or tolerance for Cloud pricing.
Meltano
Free (self-host)
Built by former GitLab engineers on the Singer tap/target spec, Meltano is CLI-first and config-as-code — pipelines are defined in YAML, version controlled, and run from the command line, which fits naturally into an existing CI/CD workflow. That is exactly what makes it a hard sell for non-engineering teams: there is no polished web UI for a business analyst to click through, and Singer connector quality varies as widely as any community-maintained ecosystem. Best fit: engineering-led data teams who want pipelines as code and already think in terms of git-managed infrastructure.
Transform-only
dbt Cloud
From ~$100/mo (Team)
dbt Cloud is not an ETL tool — it does no extraction and no loading. It shows up on every “best ETL tools” search anyway because it is the T that everyone using Fivetran, Airbyte, or Hevo pairs with those tools to actually transform the raw data those platforms dump into the warehouse. If your data is already landing in a warehouse via some other sync tool, dbt Cloud is usually the correct next purchase: SQL-based modeling, built-in testing, documentation, and job scheduling for the transform layer specifically. It solves nothing for teams that have not yet solved extraction and loading.
Workflow-integrated
Fastero
Free tier / from $49/mo
Fastero is not a traditional ETL tool and is not trying to compete with Fivetran or Airbyte on connector count — there is no catalog of 500 SaaS sync connectors to browse. What it does instead: connect directly to a database or warehouse you already have, run SQL transforms against it, and trigger workflows — Slack alerts, emails, downstream writes — when the data changes. The people who end up here searching “ETL tools” usually are not trying to sync 50 SaaS tools into a warehouse. Their actual need is “query my database, transform the results, and deliver them somewhere, automatically, whenever something changes.” That is a narrower job than Fivetran solves, and Fastero is built specifically for it rather than for connector breadth. If you genuinely need to ingest data from dozens of disconnected SaaS sources, use Fivetran or Airbyte for that and consider Fastero for what happens to the data once it is centralized.
Decision framework
Skip the feature matrix. Start from the actual shape of your problem.
Use Fivetran when...
- You have budget and want the deepest, most reliable connector catalog
- Zero pipeline maintenance matters more than cost predictability
- You sync many SaaS sources and can absorb usage-based pricing
Use Airbyte or Meltano when...
- You want Fivetran-level connector breadth without the price
- You have DevOps capacity (or accept Airbyte Cloud pricing)
- Engineering-led teams comfortable owning infrastructure or CLI workflows
Use Hevo, Rivery, or Stitch when...
- You want managed reliability at mid-market, not enterprise, pricing
- Predictable cost matters more than the largest possible connector list
- Rivery specifically, if you also want light orchestration bundled in
Use Matillion or dbt Cloud when...
- Matillion: you want visual, no-code ELT native to one cloud warehouse
- dbt Cloud: extraction and loading are already solved, you need the T
- Your team is SQL-first and wants tested, documented transformation models
Use Fastero when...
- Your data already lives in one database or warehouse, not 20 scattered SaaS tools
- The real need is “query, transform, and deliver on change,” not connector sync
- You want transforms, alerts, and delivery in one workflow instead of stitching a sync tool, a transform tool, and an alerting tool together
Frequently asked questions
What's the difference between ETL and ELT?
ETL (extract, transform, load) transforms data before it reaches the destination — the transform step happens in a separate processing layer, then clean data lands in the warehouse. ELT (extract, load, transform) loads raw data into the warehouse first, then transforms it there using the warehouse's own compute (usually with SQL via dbt). Almost every tool on this page is technically ELT now — Fivetran, Airbyte, Hevo, and Rivery all load raw data first and leave transformation to dbt or the warehouse. "ETL tool" has become the generic market term even though the mechanics are ELT.
Is Airbyte really free?
Self-hosting Airbyte OSS is free of licensing cost, but not free of cost. You still pay for the compute to run it (a VM or Kubernetes cluster), the engineering time to deploy, upgrade, and monitor it, and the debugging time when a connector breaks. For a team with existing DevOps capacity running a handful of connectors, that tradeoff is a clear win over Fivetran's per-row pricing. For a team without that capacity, Airbyte Cloud (from roughly $300/mo) or a managed alternative is usually cheaper in total cost once you count engineering hours.
Do I need both Fivetran AND dbt?
Usually yes, and that's normal, not redundant. Fivetran (or Airbyte, Hevo, Stitch, Rivery) handles the E and L — extracting data from source systems and loading it into your warehouse. dbt Cloud handles the T — transforming that raw data into clean, tested, documented models using SQL. They solve different problems and are commonly run together: sync layer plus transform layer. The exception is Matillion, which bundles both extraction and a visual transformation layer in one tool.
What about AWS Glue / Google Dataflow?
Glue and Dataflow are cloud-native, code-first ETL services (Glue uses Spark/Python jobs, Dataflow uses Apache Beam) built for engineering teams already inside AWS or GCP who want infrastructure-as-code pipelines with fine-grained control over compute and transformation logic. They are not on this list because they target a different buyer: a data engineering team writing pipeline code, not an analytics or RevOps team wanting pre-built connectors. If you're comfortable authoring Spark or Beam jobs and want tight cloud-native integration, they're worth evaluating — but they compete more with custom pipeline code than with Fivetran-style managed connectors.
When is a dedicated ETL tool overkill?
When your actual need is not "sync 20 SaaS tools into a warehouse continuously" but "pull data from a database or warehouse I already have, run a transform or check on it, and send the result somewhere." That's a query-and-trigger problem, not a connector-catalog problem, and paying for Fivetran's 500+ connectors when you use three of them is a common way teams overspend. If you already have data centralized and the real gap is transforms plus alerts plus delivery, a lighter tool built around your existing database is usually the better fit than a dedicated ETL platform.
Related comparisons
ETL, orchestration, and workflow automation overlap — here is how the adjacent tools compare.
Data already centralized? You may not need a sync tool at all.
Fastero connects to the database or warehouse you already have, runs SQL transforms, and triggers Slack, email, or downstream actions on change — no connector catalog to pay for. Free to start, no credit card required.