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 600 named sources by Q2 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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#10Best ETL & Data Pipeline Tools 2026
Score: 8.0 · Best for: Data teams needing reliable, zero-maintenance ELT from SaaS applications to cloud data warehouses like Snowflake, BigQuery, or Redshift
Key Facts
technical
| Attribute | Value | As of | Source |
|---|---|---|---|
| Connector count (May 2026) | 600+ named source connectors | May 2026 | Fivetran connectors directory |
pricing
| Attribute | Value | As of | Source |
|---|---|---|---|
| Free tier (May 2026) | Starter free tier: 500K Monthly Active Rows, 1 user, 14-day history | May 2026 | Fivetran pricing page |
| Standard Minimum | Standard plan starts at approximately $500/month (consumption-based, MAR pricing) | Apr 2026 | Fivetran Pricing |
| Free Tier | Free plan with up to 500,000 monthly active rows (MAR), suitable for small pipelines | Apr 2026 | Fivetran Pricing |
business
| Attribute | Value | As of | Source |
|---|---|---|---|
| Last disclosed valuation | $5.6B post-money, $565M Series E (September 2021, Andreessen Horowitz led) | May 2026 | Fivetran Series E announcement |
capability
| Attribute | Value | As of | Source |
|---|---|---|---|
| Connectors | 600+ pre-built connectors as of 2026 | Apr 2026 | Fivetran Connectors |
| dbt Integration | Native dbt Core transformations supported post-load on Fivetran-managed schedule | Apr 2026 | Fivetran Docs |
General
| Attribute | Value | As of | Source |
|---|---|---|---|
| Connectors | 500+ | Apr 2026 | Official Website |
| 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 | Apr 2026 | Official Website |
| Warehouses | Snowflake, BigQuery, Redshift, Databricks, Azure Synapse | Apr 2026 | Documentation |
| Sync Frequency | Every 5 minutes (Standard+), 6 hours (Free tier) | Apr 2026 | Official Website |
| Schema Mgmt | Automatic schema migration and drift detection | Apr 2026 | Documentation |
| Notable Customers | Square, ClassPass, Urban Outfitters, Autodesk | Apr 2026 | Case Studies |
| Employees | 700+ employees (as of 2025) | Apr 2026 | Company Website |
| Security | SOC 2 Type II, HIPAA, GDPR compliant, column-level hashing | Apr 2026 | Official Website |
company
| Attribute | Value | As of | Source |
|---|---|---|---|
| Customer Count | Approximately 3,000+ customers including paying enterprise accounts as of 2026 | Apr 2026 | Fivetran Customers |
Strengths
- ●500+ pre-built connectors with automated schema migration
- ●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
- ●500+ pre-built connectors with automated schema management
- ●Fully managed — zero infrastructure to deploy or maintain
- ●Usage-based pricing aligned with actual data volume
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
- ●Higher cost than open-source alternatives for large data volumes
- ●Limited transformation capabilities — relies on downstream dbt or SQL
- ●Less flexibility for custom extraction logic than code-based tools
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 tier with limited connectors
- ✓Limited set of connectors
- ✓Automated schema migration
- ✓Dashboard and monitoring
- ✓Community support
- ✓Basic data pipeline management
- !Limited connector selection
- !Community support only
Starter
Usage-based: $1 per MAR credit
- ✓All free-tier connectors plus additional sources
- ✓Automated schema migrations
- ✓Standard sync frequency
- ✓Monthly Active Rows (MAR) billing
- ✓Standard support
- !Usage-based pricing per MAR
Standard
Usage-based pricing; contact for rates
- ✓Full connector catalog (300+ sources)
- ✓Automatic schema drift handling
- ✓Configurable sync frequency (down to 5 min)
- ✓Column-level hashing for security
- ✓Priority support
- ✓Transformations with dbt integration
- !Usage-based pricing per MAR
Enterprise
Usage-based pricing; contact sales
- ✓All Standard features
- ✓SSO / SAML authentication
- ✓Private networking (VPN/PrivateLink)
- ✓Enterprise-grade SLA
- ✓Dedicated customer success manager
- ✓Custom data retention and security policies
- !Custom enterprise 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 600 named sources by Q2 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 Starter tier (500K MAR/month, single user, 14-day history) and paid tiers Standard, Enterprise, and Business Critical that scale on row volume, connector count, and feature set. As of May 2026 the company's public pricing page indicates Standard plans typically start in the low thousands of USD per month for production volumes; enterprise pricing is custom. Fivetran completed a $565M Series E in September 2021 at a $5.6B valuation led by Andreessen Horowitz, and has not announced a primary round since.
In 2023 Fivetran acquired HVR Software, 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 company reports 5,000+ paying customers as of 2025 disclosures.
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 500+ 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 500+ 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
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.
Airbyte vs Fivetran in 2026: Open-Source vs Managed ELT
A data-driven comparison of Airbyte and Fivetran covering architecture, connector ecosystems, pricing at scale, reliability, compliance certifications, and real 60-day parallel deployment results. Covers self-hosted, cloud, and enterprise options for both platforms.