I work in a company where Fivetran is being used, and we pay the licenses to them. We use it as a customer with a lot of different sources to our databases, such as Google Cloud Storage. Fivetran is used to establish data connections in the pipeline, for example, from SAP S4HANA to Google Cloud Storage.
Fivetran Data Movement Platform
FivetranExternal reviews
790 reviews
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Easy, simple, seamless
What do you like best about the product?
Setting up Fivetran is so straight forward. Even if it is a new connector I have never set up before, there is good documentation so I can set it up easily.
What do you dislike about the product?
There are still some connectors that are not available for softwares we use. Also it can get a little expensive sometimes.
What problems is the product solving and how is that benefiting you?
Ease of ingesting data into our data warehouse.
Convenient but expensive
What do you like best about the product?
Makes it really easy to sync external data into any major warehouse
What do you dislike about the product?
Cost is expensive and doesn't allow for scaling easily
What problems is the product solving and how is that benefiting you?
Connecting data from various external sources into our warehouse
Fivetran is a very usefull yet expensive tool to import data from external platform
What do you like best about the product?
Integrations with a long list of connectors. Possibility to choose which tables and fields to import. very easy to setup a new connector.
What do you dislike about the product?
Quite expensive with some connectors like Hubspot, netsuite etc..
What problems is the product solving and how is that benefiting you?
Data extraction from external platforms (hubspot, netsuite, gdrive, meta, gogole ads etc..)
Enhanced data pipeline connectivity with user-friendly interface
What is our primary use case?
How has it helped my organization?
Fivetran provides a user-friendly interface, which makes data pipelining and connecting the source and the destination easier.
What is most valuable?
The user interface is mostly UI-based, eliminating the need for a lot of coding. Furthermore, Fivetran offers scheduled pipeline extraction up to twelve times in a day.
What needs improvement?
There is not a lot of options to customize the pipeline, and the cost is high. Additionally, conducting extractions with transformations, like removing null values or doing simple calculations, is difficult. Vendor support is also slow to respond.
For how long have I used the solution?
I have been using it for a year.
What do I think about the stability of the solution?
The solution is not stable due to issues with vendor support when problems occur.
How are customer service and support?
Vendor support is not very good, and it takes time to reach out.
How would you rate customer service and support?
Positive
How was the initial setup?
The vendor handles installations on our PCs, and we receive updates either monthly or half-yearly.
What about the implementation team?
The vendor's partners are involved in updates being held on a scheduled basis.
What's my experience with pricing, setup cost, and licensing?
The cost is high for using Fivetran.
What other advice do I have?
The response sense is not very high, so it's a problem. Pricing is an expensive solution.
I'd rate the solution ten out of ten.
Customer-friendly and intuitive product
What do you like best about the product?
Fivetran's connectors are highly intuitive and extract/load data effortlessly
What do you dislike about the product?
No dislikes. Company representatives are friendly, and policy of syncing data for free for 14 days is customer-friendly
What problems is the product solving and how is that benefiting you?
Fivetran extracts data from various sources to centralized data stores for analytics
Great product
What do you like best about the product?
Fivetran offers a really large variety of connectors which are very helpful. The UI is very easy to use, and setting up connectors is fairly easy.
What do you dislike about the product?
Customer Support is generally great, however some connectors are very slow to pick up traction on new feature suggestions.
What problems is the product solving and how is that benefiting you?
Bringing data into our database
Great tool for data transfers
What do you like best about the product?
Fivetran is easy to use and setup for someone who's not VERY familiar with coding. It's very easy to use and setup daily transfers (you can choose the frequency) for our Databases across multiple tools.
What do you dislike about the product?
The column names don't fully match the original source. There's an undescore added.
What problems is the product solving and how is that benefiting you?
Getting access to data bases in 1 data lake system. We can now merge data across systems in GCP.
Tons of new useful information...especially the new Hybrid Data Lake
What do you like best about the product?
No code required and the automatic schema updates
What do you dislike about the product?
The cost is a little high for our organization
What problems is the product solving and how is that benefiting you?
As we migration to the cloud having a data integration tool like Fivetran speeds up this migration
Amazing Company
What do you like best about the product?
They care about the future and seem to have a grip on things that other competitors dont.
What do you dislike about the product?
They are great but are on the costly side. it is something to think about when starting your data journey
What problems is the product solving and how is that benefiting you?
We need to sync data from many sources over to our data warehouse and they seem to do the trick for us
Reliable platform, little pricing transparency
What do you like best about the product?
Most of the older connectors are reliable -- consistent data, a consistent data delivery schedule, easy setup, implementation, and integration.
What do you dislike about the product?
We operate Fivetran in a multi-tenant environment. While not all Fivetran users will have a similar setup, this creates numerous problems.
1. Schema standardization. If we connect the same source for different customers, often different table schemas will be delivered to our destination. Columns will appear in one instance but not another. Column datatypes will be different between instances. Tables may be missing entirely. This problem required us to write a series of very complicated custom scripts to standardize the data delivery.
2. Pricing transparency. Fivetran is very opaque about pricing. Daily summaries of row usage by table are provided, but we often incur large charges where Fivetran is unable to explain why those charges were incurred. The lack of pricing auditability is a big issue.
3. Standard tables. This is a new feature that Fivetran began rolling out mid-2024 which will drastically run up our Fivetran costs if we aren't watching carefully. They are turning on dozens of "standard reports" for common connectors that may increase our usage (and costs) by 5-10x. Currently these cannot be programitcally disabled with the Fivetran REST API.
4. Data delivery control. While we can control database and schema names from Fivetran, we cannot change the behavior of 1 Destination to 1 Database and 1 connector to 1 schema. This has shoehorned us into an unsustainable architecture as we grow.
5. Customer support is below average. If an issue moderate to hard they will close your ticket and not address it.
1. Schema standardization. If we connect the same source for different customers, often different table schemas will be delivered to our destination. Columns will appear in one instance but not another. Column datatypes will be different between instances. Tables may be missing entirely. This problem required us to write a series of very complicated custom scripts to standardize the data delivery.
2. Pricing transparency. Fivetran is very opaque about pricing. Daily summaries of row usage by table are provided, but we often incur large charges where Fivetran is unable to explain why those charges were incurred. The lack of pricing auditability is a big issue.
3. Standard tables. This is a new feature that Fivetran began rolling out mid-2024 which will drastically run up our Fivetran costs if we aren't watching carefully. They are turning on dozens of "standard reports" for common connectors that may increase our usage (and costs) by 5-10x. Currently these cannot be programitcally disabled with the Fivetran REST API.
4. Data delivery control. While we can control database and schema names from Fivetran, we cannot change the behavior of 1 Destination to 1 Database and 1 connector to 1 schema. This has shoehorned us into an unsustainable architecture as we grow.
5. Customer support is below average. If an issue moderate to hard they will close your ticket and not address it.
What problems is the product solving and how is that benefiting you?
Fivetran gives us quick access to data from common APIs.
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