Fivetran
by Fivetran Inc
Automated data integration platform for analytics pipelines. Fivetran is a managed extract-load-transform (ELT) data integration platform that ingests data from operational systems into cloud data warehouses without requiring customers to write or maintain pipeline code. Founded in 2012 in Oakland by George Fraser and Taylor Brown, both ex-McKinsey, Fivetran shipped its first connector to Snowflake in 2017 and has expanded the connector library to more than 750 named sources by July 2026, covering SaaS APIs, databases (Postgres, MySQL, SQL Server, Oracle, MongoDB), file systems, event streams, and ad platforms.
Performance Scores
3 rankings evaluated
Score range: 7.8 – 8.6
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#1Best Data Integration Platforms in 2026
Score: 8.6 · Best for: Mid-market and enterprise data teams that prefer fully managed ELT and want broad connector coverage out of the box.
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#2Best Automation Tools for Data Teams in 2026
Score: 7.8 · Best for: No-code ELT with managed reliability
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#3Best ETL & Data Pipeline Tools 2026
Score: 8.0 · Best for: Data teams buying managed ELT with transformation tooling in one vendor relationship
Key Facts
technical
| Attribute | Value | As of | Source |
|---|---|---|---|
| Connector count (May 2026) | 600+ named source connectors | May 2026 | Fivetran connectors directory |
General
| Attribute | Value | As of | Source |
|---|---|---|---|
| Managed Data Lake Service | Managed Data Lake Service writes Apache Iceberg or Delta Lake tables to S3, Azure storage, and Google Cloud Storage (GCS added April 2025) | Jul 2026 | Fivetran press release |
| 2026 pricing changes | From 1 January 2026, deletes and history-mode tracked changes count toward billable MAR; a $5/month base charge applies per standard connection (1-1M MAR); MAR is billed per connection since March 2025 | Jul 2026 | Fivetran docs |
| dbt Labs merger | All-stock merger with dbt Labs completed 1 June 2026 (George Fraser CEO, Tristan Handy President); combined company reported ~$600M ARR and 10,000+ customers at close (press/vendor figures) | Jul 2026 | Fivetran press release |
| Connectors | 750+ | Jul 2026 | Fivetran connectors page |
| Funding | $730M total funding (valued at $5.6B in 2021) | Apr 2026 | Company Blog |
| Pricing Model | Monthly Active Rows (MAR) — billed per distinct row updated per month | Jul 2026 | Fivetran pricing page |
| Warehouses | Snowflake, BigQuery, Redshift, Databricks, Azure Synapse | Jul 2026 | Fivetran docs — Destinations |
| Sync Frequency | 15-minute syncs (Free and Standard), 1-minute syncs (Enterprise and Business Critical); default interval 6 hours | Jul 2026 | Fivetran pricing page |
| Schema Mgmt | Automatic schema migration and drift detection | Jul 2026 | Fivetran docs — Core concepts |
| Notable Customers | OpenAI, Canva, Patagonia, Volkswagen (featured on Fivetran's site as of July 2026) | Jul 2026 | Fivetran homepage |
| Employees | 700+ employees (as of 2025) | Apr 2026 | Company Website |
| Security | SOC 2 Type II, HIPAA, GDPR compliant, column-level hashing | Jul 2026 | Fivetran security page |
pricing
| Attribute | Value | As of | Source |
|---|---|---|---|
| Fivetran pricing (July 2026) | Fivetran plans (verified July 2026): Free, Standard, Enterprise, and a new Business Critical tier (CMEK, PCI DSS Level 1, private networking); the former "Starter" plan is gone. Billing is per Monthly Active Row (MAR) with a $5 base charge per standard connection (1-1M MAR, not on Free). Free = 500,000 MAR/month plus 3,500 MAR activations and 5,000 model runs. Annual commitments save up to ~22%. | Jul 2026 | Fivetran pricing |
| Free tier (May 2026) | Starter free tier: 500K Monthly Active Rows, 1 user, 14-day history | May 2026 | Fivetran pricing page |
| Standard Minimum | As of July 2026, no fixed plan minimum: consumption MAR pricing with a $5/month base charge per standard connection (1–1M MAR) | Jul 2026 | Fivetran pricing page |
| Free Tier | Free plan with up to 500,000 monthly active rows (MAR), suitable for small pipelines | Jul 2026 | Fivetran free plan page |
business
| Attribute | Value | As of | Source |
|---|---|---|---|
| Last disclosed valuation | $5.6B post-money, $565M Series D (September 2021, Andreessen Horowitz led) | Jul 2026 | Fivetran press release |
capability
| Attribute | Value | As of | Source |
|---|---|---|---|
| Connectors | 750+ pre-built source connectors as of July 2026 | Jul 2026 | Fivetran connectors page |
| dbt Integration | Native dbt Core transformations supported post-load on Fivetran-managed schedule | Jul 2026 | Fivetran docs — Transformations |
company
| Attribute | Value | As of | Source |
|---|---|---|---|
| Customer Count | 7,700+ customers per Fivetran press release (December 11, 2025); supersedes the 5,000+ milestone stated in 2022 | Jul 2026 | Fivetran press release, Dec 11 2025 (2025 Gartner Magic Quadrant announcement) |
Strengths
- ●750+ source connectors with automated schema migration (July 2026)
- ●Log-based change data capture for major databases
- ●Strong reliability with documented monitoring and alerting
- ●First-class dbt integration via Fivetran Transformations
- ●500+ pre-built connectors with automatic schema handling
- ●Zero-maintenance managed pipeline operation
- ●Automatic incremental loading and CDC for supported sources
- ●Strong data quality monitoring with automatic anomaly detection
- ●750+ managed source connectors with automatic schema handling (July 2026)
- ●Reverse ETL via Fivetran Activations (former Census, acquired 2025)
- ●dbt Labs merger (completed June 2026) unifies ingestion and transformation
Limitations
- ●Consumption pricing on Monthly Active Rows can grow unpredictably
- ●Limited control over connector internals — closed source
- ●Custom connectors require Fivetran Connector SDK or third-party tooling
- ●Expensive at scale due to MAR-based pricing
- ●Limited transformation capabilities natively
- ●No workflow orchestration beyond extract-load
- ●Vendor lock-in with proprietary connector format
- ●Monthly Active Rows pricing is hard to predict at high row churn
- ●Closed-source managed service; no self-hosted option
Based on evaluations in 3 rankings: Best Data Integration Platforms in 2026, Best Automation Tools for Data Teams in 2026, Best ETL & Data Pipeline Tools 2026
Pricing Plans
Free
Free within usage limits; $5 per-connection base charge does not apply to Free accounts
- ✓500,000 MAR/month for connections
- ✓3,500 MAR/month for activations
- ✓5,000 model runs/month for transformations
- !500K MAR/month
- !5,000 model runs/month
Standard
Consumption billing per million MAR + $5 base charge per standard connection (1 MAR to 1M MAR); annual contract discounts 5% to 22.6%+; no fixed monthly minimum
- ✓Full connector catalog
- ✓Per-MAR consumption billing
- ✓Tiered transformation model-run pricing
- !$5 base charge per standard connection (1-1M MAR)
Enterprise
Consumption billing per MAR at Enterprise rates; annual contract discounts negotiated (custom)
- ✓Higher-tier features over Standard
- ✓Private networking, SSO
- ✓Advanced governance
- !Custom MAR pricing
Business Critical
Highest tier; consumption billing per MAR at Business Critical rates, custom contract
- ✓Maximum compliance features
- ✓CMEK, PCI DSS Level 1
- ✓Private networking
- !Custom MAR pricing
About Fivetran
Fivetran is a managed extract-load-transform (ELT) data integration platform that ingests data from operational systems into cloud data warehouses without requiring customers to write or maintain pipeline code. Founded in 2012 in Oakland by George Fraser and Taylor Brown, both ex-McKinsey, Fivetran shipped its first connector to Snowflake in 2017 and has expanded the connector library to more than 750 named sources by July 2026, covering SaaS APIs, databases (Postgres, MySQL, SQL Server, Oracle, MongoDB), file systems, event streams, and ad platforms.
The product architecture is intentionally opinionated. Fivetran owns the schema mapping (column types are inferred and updated on schema drift), the change-data-capture mechanism where supported (log-based CDC for Postgres, MySQL, Oracle, MongoDB), and the destination loading logic. Customers connect a source and a destination warehouse, set a sync frequency (1, 5, 15, 60, 360, or 1440 minutes), and Fivetran handles incremental updates from then on. Native destinations include Snowflake, BigQuery, Databricks, Redshift, Synapse, and Postgres-compatible engines.
Pricing is consumption-based on Monthly Active Rows (MAR), with a Free plan (500K MAR per connection per month) and paid plans Standard, Enterprise, and Business Critical that scale on row volume, connector count, and feature set. As of July 2026 the public pricing page publishes median per-connector costs (for example $17.23/month for Facebook Ads) rather than rates; since 1 January 2026 deletes also count toward billable MAR, and a $5 monthly base charge applies per standard connection. Fivetran completed a $565M Series D in September 2021 at a $5.6B valuation led by Andreessen Horowitz, and has not announced a primary round since; it expanded by acquisition instead, buying Census (May 2025, now Fivetran Activations) and Tobiko Data (September 2025), and completing an all-stock merger with dbt Labs on 1 June 2026.
In 2021 Fivetran acquired HVR Software (~$700M, closed October 2021), a CDC-focused database replication vendor, adding higher-volume database-to-warehouse replication to the existing SaaS-API-heavy connector portfolio. The combined platform now positions against Stitch, Airbyte, and warehouse-native ingestion tools (Snowflake Streaming, BigQuery Datastream). Customers include Square, DoorDash, Forbes, Vimeo, JetBlue, Crocs, and the Smithsonian; the combined Fivetran-dbt company reported more than 10,000 customers at the June 2026 merger close.
flowchart LR
A[(Postgres / MySQL / SaaS API)] -->|Fivetran Connector| B[Fivetran Service]
B --> C{CDC supported?}
C -- Yes --> D[Log-based incremental]
C -- No --> E[API polling + schema diff]
D --> F[(Cloud Warehouse)]
E --> F
F --> G[dbt or warehouse SQL transform]
Editor's Note: Across 9 ShadowGen Fivetran deployments in 2024-26, the median month-3 MAR bill landed 38% higher than the pre-deployment projection because operational source rows (especially Salesforce Activity history and Shopify webhook events) compound faster than buyers expect. The mitigation that works: enable connector-level schema exclusions before first sync, not after, since Fivetran bills on rows synced even if columns are later excluded. Where it shines: Postgres CDC over WAL replication is the cleanest production database-to-warehouse path we have shipped, with 15-minute median end-to-end latency on tables under 50M rows. — Rafal Fila, ShadowGen
Integrations (8)
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ETL & Data PipelinesSee How It Ranks
Best Automation Tools for Data Teams in 2026
A ranked list of the best automation and data pipeline tools for data teams in 2026. This ranking evaluates platforms across data pipeline quality, integration breadth, scalability, ease of use, and pricing value. Tools are assessed based on their ability to handle ETL/ELT workflows, data transformation, orchestration, and integration tasks that data engineers and analysts rely on daily. The ranking includes both dedicated data tools (Apache Airflow, Fivetran, Prefect) and general-purpose automation platforms (n8n, Make) that have developed strong data pipeline capabilities. Each tool is scored on a 10-point scale across five weighted criteria.
Best ETL & Data Pipeline Tools 2026
Our ranking of the top ETL and data pipeline tools for building reliable data workflows and transformations in 2026.
Questions About Fivetran
What are the best data pipeline tools for startups in 2026?
The best data pipeline tools for startups in 2026 are Fivetran, Airbyte, Segment, dbt, and Estuary Flow. Fivetran leads on managed connectors, Airbyte on open-source self-hosting, Segment on customer data routing, dbt on transformation, and Estuary on real-time CDC.
What is the best data integration platform in 2026?
The top data integration platforms in 2026 are [Fivetran](/tools/fivetran/) (managed ELT with 750+ connectors), [Airbyte](/tools/airbyte/) (open-source ELT with self-hosted option), and [Segment](/tools/segment/) (Twilio-owned customer data platform with real-time event streaming).
Which ETL tool is best for data teams in 2026?
The leading ETL/ELT tools for data teams in 2026 are [Fivetran](/tools/fivetran/) (managed ELT with 750+ connectors), [Airbyte](/tools/airbyte/) (open-source ELT with self-hosted option), and [dbt](/tools/dbt/) (in-warehouse SQL transformation framework used by 40,000+ companies).
What are the best Alteryx alternatives in 2026?
As of April 2026, the leading Alteryx alternatives are Knime (open-source visual analytics), Dataiku (enterprise data science platform), Tableau Prep (Tableau-native data prep), Fivetran with dbt (modern ELT pattern), and Apache Airflow (open-source orchestration). Choice depends on whether teams need self-service analytics, ML workflows, or pure ETL.
Learn More
Fivetran vs Informatica in 2026: Modern ELT vs the Enterprise Data Suite
Fivetran and Informatica anchor opposite generations of the data-integration market: Fivetran, founded 2012, is a managed ELT platform metering Monthly Active Rows per connection, and completed an all-stock merger with dbt Labs on 1 June 2026; Informatica, founded 1993, sells the IDMC data-management suite metered in pooled Informatica Processing Units and became a Salesforce subsidiary on 18 November 2025. Neither vendor publishes core rates — the citable anchors are Fivetran's $549.36/month worked small-company example and an AWS Marketplace listing of $131,760/year for 120 IPUs/month. This comparison covers both pricing models, connector depth, AI direction, and the PowerCenter 10.5.x support cliff, verified against primary sources in July 2026.
How to Set Up an Automated Data Pipeline: Fivetran to dbt to Snowflake
An end-to-end tutorial for building a modern ELT data pipeline using Fivetran for extraction/loading, Snowflake as the warehouse, and dbt for SQL-based transformations. Covers source configuration, staging models, mart models, scheduling, and cost estimates from a 50-person SaaS deployment.
dbt vs Apache Airflow in 2026: Transformation vs Orchestration
A detailed comparison of dbt and Apache Airflow covering their distinct roles in the modern data stack, integration patterns, pricing, and real 90-day deployment data. Explains when to use each tool alone and when to use both together.