Data Connector Tools Comparison: Fivetran, Airbyte, Stitch, Meltano, Hevo, Rivery, and Portable

The data connector market has consolidated significantly over the past three years, yet the decision has gotten harder — not easier. There are now more viable options than ever, pricing models vary wildly, and the right choice depends less on feature lists than on your team's operational capacity, connector requirements, and cost tolerance at different data volumes.

This comparison covers seven tools in depth: Fivetran, Airbyte, Stitch (now under Qlik/Talend), Meltano, Hevo Data, Rivery (now Boomi Data Integration), and Portable. The goal is not to declare a winner. Each tool fits a specific context. The goal is to give you the information to make a defensible choice for your context.

What Data Connector Tools Actually Do

Data connector tools — also called ELT platforms, pipeline tools, or integration infrastructure — extract data from source systems (CRMs, databases, ad platforms, billing tools), load it into a destination (Snowflake, BigQuery, Redshift, Databricks), and in most modern cases leave the transformation to the warehouse and dbt.

The operational job is: keep the pipes running. That means handling API changes from source vendors, schema drift when a SaaS tool adds or renames fields, credential rotation, retry logic when APIs return 429s, and alerting when sync jobs fail silently. How well a tool handles these failure cases — not the number of connectors in a marketing catalog — determines how much engineering time it consumes in production.

Nearly all tools covered here operate as ELT rather than ETL. Raw data lands in your warehouse first. Transformations happen in the warehouse, typically via dbt. This is the correct architecture for modern data stacks — it keeps transformation logic version-controlled and warehouse-native rather than locked inside the pipeline tool.

The Seven Tools at a Glance

Before the detailed breakdown, here is a side-by-side comparison of the key dimensions that affect purchase decisions.

Comparison Table

Tool-by-Tool Breakdown

Fivetran

Fivetran is the market-share leader in managed data connectors and has earned that position on reliability, not connector count alone. Its connectors are first-party maintained, meaning Fivetran's own engineering team handles API changes, schema drift, and authentication updates. In practice, this translates to fewer silent pipeline failures — the problem that consumes the most engineering time in less managed solutions.

Pricing: Fivetran uses Monthly Active Row (MAR) pricing. Every inserted, updated, or deleted row counts. As of January 2026, deletes count toward MAR where they previously did not. Tiers: $2.50/M rows (0–5M), $2.00/M (5–20M), $1.50/M (20–100M), $1.00/M (100M+). A $5 base charge applies per connection for low-volume pipelines (1 to 1M MAR). Enterprise and Business Critical plans add 1-minute sync frequency, Oracle/SAP/Db2 connectors, and custom SLAs — at costs that typically run $10,000–$30,000/month for mid-to-large enterprise workloads.

Where it fits: Fivetran is the right call when engineering bandwidth is scarce and pipeline reliability is non-negotiable. The cost premium is real, but so is the reduction in pipeline maintenance overhead. Teams that have calculated the all-in cost of a Fivetran alternative — including the hours of engineering time to maintain self-hosted connectors — often find the premium narrower than the sticker price suggests.

Watch for: MAR costs can be deceptive for transactional databases with high update rates. A source table with frequent row updates can generate MAR counts that significantly exceed the number of unique records being tracked. Audit update frequency on your highest-volume sources before estimating the bill.

Airbyte

Airbyte's differentiation is its open-source foundation and the flexibility that comes with it. The platform supports custom connector development via a Python SDK, which matters when you need a source that no managed tool supports. Its 600+ connector catalog includes both Airbyte-maintained connectors and community-maintained ones — with meaningfully different reliability levels between the two categories.

Cloud pricing: Airbyte Cloud starts at $10/month (minimum), with credits consumed based on data volume moved. A Standard plan charges $2.50 per additional credit above the included 4. Pro plans shift to Data Workers — a capacity unit with predictable spend rather than per-volume billing. Cloud SLA is 99.9%.

Self-hosted costs: The open-source core is free, but production Kubernetes deployments on AWS typically cost $500–$3,000/month in infrastructure, plus 20–40 hours of engineering time monthly for maintenance. Self-hosting makes economic sense only if you have existing DevOps capacity and a genuine need for custom connectors or data residency requirements.

Where it fits: Engineering-led data teams that need connector flexibility, are comfortable managing infrastructure, or have cost constraints that make managed tooling unworkable at their data volumes. Airbyte Cloud is also competitive for mid-market teams that want managed infrastructure with the option to fork or extend connectors.

Stitch

Stitch was the original "simple, cheap ELT for startups" and it served that role well. It was acquired by Talend in 2018, Talend was acquired by Qlik in 2023, and product momentum has slowed materially since. New customers are being directed toward Qlik Talend Cloud, which wraps Stitch's loading engine inside Talend's enterprise suite.

Pricing: Standard at $100/month (5M rows, 1 destination, 10 sources); Advanced at $1,250–$1,500/month (100M rows, 3 destinations, unlimited enterprise sources); Premium at $2,500/month (1B rows, 5 destinations). Pricing is transparent and row-based — easy to model.

Where it fits: Teams already running on Stitch with stable, low-complexity pipelines should not feel compelled to migrate immediately. For net-new implementations, Stitch's connector catalog (130+ sources) is materially narrower than alternatives, and the development velocity gap is a real risk for teams that will need new connectors over a 2–3 year horizon.

Meltano

Meltano is the open-source ELT control plane built on the Singer specification. Singer taps (source extractors) and targets (destination loaders) are the connector format — there are 600+ available through Meltano Hub, ranging from well-maintained to lightly maintained community packages. Meltano itself handles orchestration, configuration management, and environment promotion, integrating natively with dbt, Airflow, and Great Expectations.

Pricing: Free under MIT license for self-hosted deployments. Infrastructure costs depend on your environment. Meltano was acquired by Matatika, which is expanding managed service offerings, but the primary deployment model remains self-hosted.

Where it fits: Teams that want full transparency and control over their pipeline stack, prefer open-source licensing for cost or philosophical reasons, and have engineering capacity to manage connector quality themselves. Meltano is the right foundation for a data platform team building a durable, internally maintained stack — not the right choice for an operator who needs pipelines running without maintenance overhead.

Watch for: Singer tap quality is uneven. A production-grade tap maintained by an active open-source community behaves like a managed connector. A lightly maintained tap may break on API version changes and require internal engineering to fix. Evaluate tap quality source-by-source before committing to self-hosted Meltano for critical pipelines.

Hevo Data

Hevo occupies a useful middle tier: more managed than Meltano, less expensive than Fivetran, with a free tier that makes it practical for early-stage evaluation. It launched a significant architecture overhaul in early 2026, claiming 20–40x faster replication and 50–80% lower total cost of ownership through a microservices redesign with fault isolation.

Pricing: Free tier at 1M events/month (50+ connectors, 1-hour sync frequency). Starter at approximately $239/month for 5M events with access to all 150+ connectors and live chat support. Professional at approximately $679–$999/month for 20M events. Business Critical tier adds HIPAA compliance and dedicated support. Annual billing discounts of ~20% apply across tiers.

Where it fits: Startups through growth-stage companies that want a managed pipeline tool without the Fivetran cost structure. Hevo is particularly well-suited to operators and RevOps teams who want reliable connectors without needing a data engineer to maintain them. The free tier is genuinely useful for proof-of-concept work and early-stage pipelines.

Rivery (now Boomi Data Integration)

Rivery was a mid-market ELT and orchestration platform that differentiated itself on its GUI-driven "Rivers" pipeline model and Reverse ETL support. It was acquired by Boomi in December 2024 and rebranded to Boomi Data Integration. The pricing terminology changed from RPU credits to BDU (Boomi Data Unit) credits, but the underlying model remains the same.

Pricing: Credit-based. Starter at $0.75/credit; Professional at $1.25/credit. One credit = 100MB of database data moved, or 1 API call. This translates to $7.50–$12.50 per GB depending on plan, which can become expensive at high volumes. No per-connector charges — all 200+ connectors are available on all plans.

Where it fits: Mid-market teams that need ELT, Reverse ETL, and orchestration in a single tool without assembling multiple point solutions. Rivery's support reputation (9.8/10 on G2) is a genuine differentiator for teams that rely on vendor support for pipeline troubleshooting. The Boomi acquisition brings enterprise credibility but also introduces integration-suite pricing risk over time.

Portable

Portable's positioning is explicit and coherent: it exists for the long tail. With 1,500+ prebuilt connectors, it covers vertical SaaS applications, niche e-commerce platforms, applicant tracking systems, subscription billing tools, and ticketing platforms that Fivetran and Airbyte either do not support or cover only through unreliable community connectors. Its flat-fee per pipeline pricing means costs are predictable regardless of data volume — a meaningful advantage for teams syncing from many small sources.

Pricing: Manual syncs are free with no credit card required. Scheduled pipelines use a flat-fee model — predictable, no volume overages. Specific per-pipeline fees require consulting current pricing on their website, as the model is designed to be disclosed upfront rather than modeled from published tiers.

Where it fits: Teams whose connector requirements extend beyond the mainstream 50–100 sources that every major tool covers well. If your stack includes CRM, marketing automation, and Stripe alongside 8 niche tools that Fivetran doesn't support, Portable is often the right answer for the niche 8, even if you use Fivetran for the mainstream sources. Portable also works well as a complement to — not replacement for — a primary connector tool.

Decision Framework by Company Stage

Pre-revenue to $1M ARR

At this stage, your data stack is likely three to five sources: a CRM, a billing system, a marketing platform, and your product database. Engineering bandwidth is limited and should not be spent on pipeline maintenance.

Recommended path: Start with Hevo Data's free tier (1M events/month). It covers the core sources, requires no infrastructure management, and costs nothing until you outgrow it. If you hit the free tier limits quickly, Stitch at $100/month is a reasonable step before committing to a more expensive tool. Airbyte self-hosted is appealing in principle but is a poor trade at this stage — the infrastructure and maintenance overhead is disproportionate to the pipeline complexity.

$1M to $10M ARR

Pipeline complexity starts to grow. You are likely adding a data warehouse, a BI layer, and sources beyond the core five. Connector reliability starts to matter more because broken pipelines have a direct operational cost.

Recommended path: Hevo Data on a Starter or Professional plan covers most stacks at this stage. If you have niche SaaS sources in your stack, evaluate Portable as a complement for the long tail. Teams with strong engineering capacity and cost sensitivity should evaluate Airbyte Cloud — it is competitive at lower data volumes and gives flexibility for custom connectors.

$10M to $50M ARR

Fivetran becomes justifiable at this stage for most teams. The connector catalog, reliability guarantees, and reduction in engineering maintenance overhead start to outweigh the cost premium as your data team's time becomes increasingly valuable. This is also where MAR pricing needs careful modeling — high-update-frequency sources can generate bills that exceed projections if not audited before contract.

Recommended path: Fivetran for mainstream sources. Portable to fill connector gaps for long-tail sources. If orchestration and Reverse ETL are required in the same tool, evaluate Rivery/Boomi as an alternative to a Fivetran + separate orchestration layer.

$50M ARR and above / Enterprise

Enterprise requirements — SOC 2 Type II, HIPAA, custom SLAs, 1-minute sync frequency, Oracle/SAP connectors, private cloud deployment — narrow the field to Fivetran Enterprise or Airbyte Enterprise. Rivery/Boomi serves enterprise teams that want managed ELT inside a broader iPaaS context. Meltano remains viable for large engineering-led teams that have made an explicit platform ownership decision.

Recommended path: Fivetran Enterprise for most. Airbyte Enterprise for teams with proprietary source systems requiring custom connectors. Engage both vendors in a bake-off on your specific top 10 sources before signing.

The Questions Your Evaluation Should Answer

Before selecting a connector tool, answer these five questions with specifics rather than assumptions.

1. What sources do you actually need — now and in 18 months? Build a list. Check each tool's connector catalog. Identify the coverage gaps. A tool with 700 connectors that misses your most important source is worse than a tool with 150 that covers all of yours reliably.

2. What is your update frequency? For tools priced on rows (Fivetran, Stitch), sources with high row-update rates generate disproportionate MAR. A high-volume transactional database updated thousands of times per hour will cost significantly more than a static CRM table with 10K records.

3. What is the real cost of self-hosting? Open-source tools are not free. Calculate infrastructure cost plus engineering time at your team's loaded hourly rate. For most teams, 20–40 hours/month of maintenance at $100–$150/hour loaded cost is $2,000–$6,000/month — which exceeds many managed tool subscriptions.

4. How will you handle schema drift? Ask vendors specifically how their tool handles it when a source SaaS application adds, renames, or removes a field. Managed tools typically handle this automatically; self-hosted solutions require manual intervention. This failure mode is quiet — pipelines continue running but downstream models break.

5. Do you need Reverse ETL? Reverse ETL — pushing transformed data from your warehouse back into operational tools — is a distinct workload. Most connector tools covered here do not support it natively. Rivery is the exception. If Reverse ETL is in scope, factor that into your tool selection to avoid adding a separate point solution.

FAQ

What is the difference between ETL and ELT in data connector tools?

ETL (Extract, Transform, Load) transforms data before writing it to the destination, which was necessary when warehouses were expensive and compute was best applied upstream. ELT (Extract, Load, Transform) moves raw data into the destination first, then transforms it using the warehouse's own compute — typically dbt on Snowflake, BigQuery, or Redshift. Nearly every modern data connector tool covered in this comparison operates as ELT rather than ETL. The practical implication: your transformation logic lives in your warehouse, not inside your connector tool, which makes it version-controlled, testable, and warehouse-native rather than locked inside a vendor's pipeline.

How do Monthly Active Rows (MAR) work in Fivetran pricing?

Fivetran counts a Monthly Active Row (MAR) as any row inserted, updated, or deleted in your destination during the billing period. As of January 2026, deletes now count toward MAR — a change from the prior model. Fivetran applies tiered per-row pricing: $2.50 per million rows for the first 5M, $2.00 for 5–20M, $1.50 for 20–100M, and $1.00 for 100M+. A $5 base charge applies per connection for workloads between 1 and 1 million MAR. For high-churn SaaS or transactional databases with many updates, MAR costs can escalate quickly because each row modification counts even if the underlying record barely changes. Teams should audit their top tables for update frequency before estimating their Fivetran bill.

Is Airbyte self-hosted genuinely free to run?

Airbyte's open-source core is free under the MIT/Elastic License, but self-hosting is not zero-cost. A production-grade Kubernetes deployment on AWS typically runs $500 to $3,000 per month in infrastructure alone, plus 20 to 40 hours of engineering time per month for maintenance, upgrades, and connector updates. Teams also need to provision monitoring, alerting, and failure recovery separately. Airbyte Cloud eliminates infrastructure burden with a 99.9% SLA but re-introduces per-unit pricing. The honest framing: Airbyte self-hosted is cost-competitive for teams with existing DevOps capacity and complex custom connector needs. For teams without a dedicated data engineer managing pipelines, the total cost of self-hosting usually exceeds a managed alternative within 12 months.

What happened to Stitch Data and is it still worth using?

Stitch was acquired by Talend in 2018, and Talend was subsequently acquired by Qlik in 2023. Product development velocity has slowed materially since then — connector updates are less frequent than Fivetran or Airbyte, and new feature releases have been minimal. Qlik is now routing new customers toward Qlik Talend Cloud. Stitch remains functional and is a reasonable choice for teams already on it with stable, low-complexity pipelines. For net-new implementations requiring broad connector coverage or active connector maintenance, Stitch is no longer a first-choice recommendation.

What is Portable good for that Fivetran and Airbyte are not?

Portable specializes in the long tail of data sources — niche SaaS applications, vertical-specific platforms, and APIs that Fivetran and Airbyte either do not support or support only through community-maintained connectors with inconsistent reliability. With over 1,500 prebuilt connectors, Portable's catalog extends well beyond the mainstream sources. Its pricing model is flat-fee per pipeline rather than volume-based, which makes costs predictable for teams syncing from many small sources. Portable is not the right tool for high-volume database replication or warehouse-to-warehouse sync — those workloads are better served by Fivetran or Airbyte. Portable is the correct choice when your stack includes a mix of mainstream tools plus 5 to 15 niche platforms that others cannot reliably connect.

How does Meltano compare to paid managed connectors?

Meltano is an open-source ELT framework built on Singer taps and targets, with 600+ community-maintained connectors available through Meltano Hub. It is free to self-host and integrates natively with dbt, Airflow, and Great Expectations, making it the most composable option in this comparison. The gap versus managed tools is operational: Singer taps vary in quality and maintenance, and Meltano itself requires DevOps investment to run reliably in production. Meltano makes sense for engineering-led teams that want full control over their stack, prefer open-source licensing, and have the capacity to maintain pipelines themselves.

Should a startup use Fivetran or a lower-cost alternative?

Most early-stage startups (under $5M ARR) do not need Fivetran's breadth or premium reliability guarantees. Hevo Data's free tier (1M events/month) or Stitch's $100/month Standard plan cover the typical startup stack of CRM, marketing platform, payment processor, and product database. The right inflection point to evaluate Fivetran is when connector gaps are blocking analysis, sync frequency requirements exceed hourly, data volume exceeds 20M rows per month, or compliance requirements demand documented SLAs and audit trails. Before that threshold, the cost difference — often $2,000 to $5,000 per month — is better deployed elsewhere in the data stack.