Fivetran Data Movement Platform
FivetranReviews from AWS customer
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useful low effort tool for db beginners
What do you like best about the product?
prebuilt connectors
simple schema management
simple schema management
What do you dislike about the product?
unclear why syncs are delayed
limited webhook capabilities
limited webhook capabilities
What problems is the product solving and how is that benefiting you?
build our data warehouse with limited api knowledge
Great platform, knowledgeable engineers
What do you like best about the product?
Great functionality. Some connectors need regular review and issue escalation (e.g. Marketo)
What do you dislike about the product?
When support issues present, they can require a lot of interaction to see through.
What problems is the product solving and how is that benefiting you?
We are getting professionally managed connections to a range of solutions where are of the upkeep complexity is simplified into one bill.
Adding fields to the data schema was a breeze
What do you like best about the product?
It was very easy to find and add fields to the data schema for integrations. I found the UI simple to navigate the very first time I used it without any need for additional help.
What do you dislike about the product?
We use a lot of formula fields and sometimes Fivetran makes assumptions about formula syntax that are not helpful. We developed work-arounds for this.
What problems is the product solving and how is that benefiting you?
We are able to reliably move data between systems and make updates to the data schema quickly as fields are added or deprecated.
My experience on using Fivetran connector is not that great.
What do you like best about the product?
Easy to connect to most of the data sources, and it is user friendly integration.
What do you dislike about the product?
We are facing fivetran failure in our project due to which data sync is improper.
What problems is the product solving and how is that benefiting you?
Fivetran is not capable in connecting to Lever data source and do a data extract. We are facing sync issue from last 2 months.
How FiveTran helped me achieve data automation
What do you like best about the product?
FiveTran has quite a number of connectors that will allow you to get data where you need them.
What do you dislike about the product?
There's nothing to dislike about FiveTran because it always finds a way to provide what you need.
What problems is the product solving and how is that benefiting you?
Right now, I a m still waiting for the availability of Google Ads connector: SEARCH_TERM_KEYWORD_STATS
With this connector I will be able to help our Marketing Team manage their expense on advertisements and campaigns.
With this connector I will be able to help our Marketing Team manage their expense on advertisements and campaigns.
Easy to use - plug and play ETL tool
What do you like best about the product?
Ease of use - it gives us the benefits of a custom data pipe line in configuring the fields we need without having to have an internal data engineering team
What do you dislike about the product?
There are some additional requirements we need to have met on some sources, which prevent us to switch to Fivetran completely
What problems is the product solving and how is that benefiting you?
It allows us to access the data we need for more advanced analytics without needing to build a data engineering team
Production Grade Connector Service
What do you like best about the product?
The reliability of data quality in it's connectors
What do you dislike about the product?
Cost structure. Not great for connectors that are lower MAR. Lack of customization in cost structure
What problems is the product solving and how is that benefiting you?
Not having to build and maintain connectors
Amazing as a plug and play ETL solution
What do you like best about the product?
Super easy to configure and get up and running. The platform is very friendly to set up the first connections and get started piping data from all your sources into the destinations of your choice. They have MANY source and destination connectors that are already set up for you, saving many hours of data engineering development.
What do you dislike about the product?
Customer support could be faster and more proactive. There have been cases where connectors have stopped working or not syncing and there is no update on the status page or in incident. These are jobs that are critical to our operation and we received no news about incidents. We had to reactively reach out to support to ask why the syncs were not working.
What problems is the product solving and how is that benefiting you?
Extracting and loading from multiple data sources and replicating the data to our data warehouse.
Seamlessly integrates diverse data sources and deploys effortlessly
What is our primary use case?
The primary use case for Fivetran is integrating with multiple data sources. We explored this use case when considering Fivetran.
What is most valuable?
The ability to seamlessly integrate with a large variety of data sources is valuable. Fivetran is an easy-to-deploy solution for organizations looking at integrating a wide variety of data sources. We used Fivetran as a proof of concept and found it very stable during the short duration of our use.
What needs improvement?
In our case, we ultimately did not end up using Fivetran because we were able to do custom connects at a lower cost compared to Fivetran. From a cost perspective, if the number of connectors is lesser, then Fivetran is not the most cost-efficient option.
For how long have I used the solution?
We used Fivetran for less than six months, not more than that.
What was my experience with deployment of the solution?
We did not encounter any issues with deployment. The initial setup was straightforward.
What do I think about the stability of the solution?
During the duration of the time that we used Fivetran, it was highly stable. I would ideally rate it nine or ten out of ten.
What do I think about the scalability of the solution?
I would rate the scalability of Fivetran at close to nine or ten.
How are customer service and support?
We did not require any technical support because we have our own core set of developers. Therefore, we did not have experience contacting their technical support.
How would you rate customer service and support?
Negative
Which solution did I use previously and why did I switch?
We did not end up using Fivetran permanently because we were able to perform custom connects at a lower cost.
How was the initial setup?
The initial setup of Fivetran was straightforward.
What about the implementation team?
We did not require external assistance because we have a technical team internally.
What was our ROI?
We evaluated Fivetran but ultimately did not use it due to cost concerns.
Which other solutions did I evaluate?
As an organization, we looked at Fivetran and Verscape during our evaluation process.
What other advice do I have?
For organizations looking at integrating a very large variety of data sources, Fivetran is an easy-to-deploy solution. I would rate the overall solution eight out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
Reliable and Effortless Data Integration Platform
What do you like best about the product?
Fivetran truly simplifies the process of connecting and syncing data across systems. Its out-of-the-box connectors are very robust, requiring minimal setup and almost no ongoing maintenance. I especially appreciate the automated schema management and the reliability of the pipelines — once configured, they just work without needing babysitting.
What do you dislike about the product?
The pricing model can become expensive at scale, especially when dealing with large volumes of data or many connectors. Also, while the platform supports a wide variety of connectors, customization beyond standard transformations sometimes feels limited without moving into external tools like dbt.
What problems is the product solving and how is that benefiting you?
Fivetran helps eliminate the complexity and manual effort typically involved in building and maintaining data pipelines. Instead of dedicating engineering resources to create custom connectors and manage sync issues, we rely on Fivetran’s pre-built, fully managed pipelines to automatically extract and load data into our data warehouse.
This enables our data teams to focus on analysis, modeling, and delivering business value, rather than on pipeline maintenance. It has significantly improved data reliability, reduced engineering overhead, accelerated time-to-insight, and made it easier to scale as we integrate more data sources.
This enables our data teams to focus on analysis, modeling, and delivering business value, rather than on pipeline maintenance. It has significantly improved data reliability, reduced engineering overhead, accelerated time-to-insight, and made it easier to scale as we integrate more data sources.
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