Fivetran, the global leader in data movement, is trusted by companies like OpenAI, LVMH, Pfizer, Verizon and Spotify to centralize data from SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. With high-performance pipelines, seamless interoperability, and enterprise-grade security, Fivetran empowers organizations to modernize their data infrastructure, power analytics and AI, ensure compliance, and achieve transformative business outcomes. Learn more at Fivetran.com
Product | Market Share (%) |
---|---|
Fivetran | 2.3% |
Informatica PowerCenter | 8.1% |
Azure Data Factory | 7.4% |
Other | 82.2% |
Title | Rating | Mindshare | Recommending | |
---|---|---|---|---|
Informatica Intelligent Data Management Cloud (IDMC) | 4.0 | 4.3% | 93% | 186 interviewsAdd to research |
Azure Data Factory | 4.0 | 7.4% | 92% | 92 interviewsAdd to research |
Company Size | Count |
---|---|
Small Business | 6 |
Midsize Enterprise | 6 |
Large Enterprise | 12 |
Company Size | Count |
---|---|
Small Business | 142 |
Midsize Enterprise | 109 |
Large Enterprise | 497 |
Autodesk, Condé Nast, JetBlue, Morgan Stanley, OpenAI, LVMH, Pfizer, Verizon, Spotify
National Australia Bank, Saks, Cemex, Okta, Dropbox, Pitney Bowes, World Fuel Services,
Lufthansa, AutoZone, ASICS, ASOS, Coupa, Databricks, Hermes, New Relic, Intercom,
Canva, Honeywell, Square, DocuSign, Nandos, Oldcastle Infrastructure
Author info | Rating | Review Summary |
---|---|---|
Lead Data Engineer at Sensilab | 4.5 | Fivetran is our primary ETL tool, valued for its extensive connectors and monitoring capabilities. It saves us time by eliminating the need for additional data engineers. Although pricing isn't advantageous, improvements for technical users and connector features are needed. |
Manager at InfoCepts | 4.5 | I've used Fivetran for real-time data replication from various sources, finding it reliable and easy to configure with great documentation. While more transformations would help, overall it's efficient, with solid support and seamless integration with Snowflake and BigQuery. |
Founder at Vichinth | 4.0 | We considered Fivetran for its ability to integrate various data sources and found it stable for proof of concept. However, due to cost, we opted for custom connections. We also evaluated Verscape during this process. |
Senior Consultant at a consultancy with 51-200 employees | 3.5 | I implemented Fivetran to connect to platforms like Dynamics 365. It's easy to set up but lacks data filtering and geospatial data support. Customer support is limited, and for geospatial needs, alternatives like FME are recommended. |
Associate Enterprise Architect(Data Analyst) at Dyson | 5.0 | I use Fivetran in my company for connecting various sources to databases, such as from SAP S4HANA to Google Cloud Storage. Its UI simplifies coding, but customization options are limited, extraction costs are high, and vendor support is slow. |
Director Data Engineering, Governance, Operation and Analytics Platform at a financial services firm with 10,001+ employees | 3.5 | We use Fivetran for real-time data syncing between databases, benefiting from its native Sybase connectivity. While it offers seamless integration, it lacks in-line data quality checks and a unified data flow observation interface, limiting data observability. |
Head of BI and Analytics at HyperScience | 5.0 | No summary available |
Senior Data Engineer at a tech vendor with 1,001-5,000 employees | 4.5 | We use Fivetran for ETL processing with Snowflake, finding it intuitive and quick for integration. However, more connectors and a portal-based support system are needed. It's ideal for mid-sized businesses, though costly for smaller ones. |