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What is Fivetran?
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Overall experience with Fivetran
“Fivetran Eases Data Integration but Presents Pricing and Reload Challenges”
“Fivetran: A Comprehensive Solution for Startup Data Ingestion”
About Company
Company Description
Fivetran enables enterprises to accelerate cloud migration and power AI and ML workloads to drive innovation. The Fivetran platform reliably and securely centralizes data from hundreds of SaaS applications and databases into any cloud destination — whether deployed on-premises, in the cloud or in a hybrid environment. Over 8,000 global brands trust Fivetran to move their most valuable data assets to fuel analytics, drive operational efficiencies and grow their businesses.
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Fivetran Likes & Dislikes
The best thing about Fivetran is the wide range of connectors with almost every data ingestion service and the ease of use. Automated schema handling and incremental syncs make it particularly strong for scaling ingestion across many systems.
Easy setup. Most data integrations to enterprise platforms. Great customer service.
It is incredibly simple to set up and use. Even non engineers can configure new data sources, manage schemas, and have data flowing to Snowflake in minutes.
We have occasionally seen unexpected full reloads, which can be disruptive for high volume tables. MAR (Monthly Active Rows) pricing also lacks transparency and can quickly escalate for frequently updated datasets. In some cases, the fully managed nature of the platform limits deeper customisation.
Usage-based pricing can easily blow up a budget and needs to be managed carefully. An update or backfill on a large billion-record source table can easily increase your MAR (Monthly Active Records) past your quota. This makes budget planning very difficult.
It is somewhat expensive, but you get what you pay for. When you compare it to the cost and effort of building and maintaining integrations with a team of data engineers, it's MUCH cheaper.
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Fivetran Reviews and Ratings
- Engineer1B-10B USDRetailReview Source
Fivetran Eases Data Integration but Presents Pricing and Reload Challenges
Fivetran has become a core part of our data integration architecture, supporting a wide range of both operational and analytical pipelines. Over 4 years, it has proven stable, low maintenance, and effective for standardising data ingestion across the organisation. - Director of Data and Analytics10B+ USDInsurance (except health)Review Source
Fivetran makes enterprise data integration simple, fast, and reliable
We're no strangers to using third party SaaS providers to solve a wide range of problems. As a 50 year old insurance company, those problems are rarely as simple as they're made to sound during the RFP process when evaluating a new vendor. That said, Fivetran stands out as one of the only SaaS solutions we've implented in recent memory that truly met and exceeded expectations. It was shockingly easy to set up and start using. It has been a game changer in helping us bring data from dozens of systems into a single, reliable location. - Director of Engineering50M-1B USDHealthcare and BiotechReview Source
Simplifies Setup and Improves Reliability but Pricing Challenges for Large Volumes
Overall very good, handles some but not all of our use cases. It is our first choice for small and medium volume sources as well and frequently updating sources. - Business Intelligence Developer<50M USDRetailReview Source
Simple Connector Integration and Support Countered by Data Gaps and Delays
Proven very helpful for establishing a basic data warehouse at a time when I had limited knowledge on the matter - DIRECTOR OF DATA ANALYTICS ENGINEERINGGov't/PS/EdEducationReview Source
Fivetran: A Powerful Contributor to Modern Data Stacks
Fivetran has been a valuable tool in our modern data stack. It has helped my team automate most of our data integration needs effectively and efficiently. The pre-built connectors are simple to use and the Fivetran SDK has given us the flexibility to build custom connectors. The support team is responsive and always helps find solutions to our challenges.