Fivetran Reviews & Product Details

What I like most about Fivetran is that it is very user friendly and has a lot of resources to follow for each connection making set up easy. Review collected by and hosted on G2.com.

What I dislike about Fivetran is that it doesn't allow for querying data within the platform, which can make data consumption heavy. Review collected by and hosted on G2.com.

They are easy to use

It makes data implementation and integration easier

Maintenance of the data is easier

Saves time and efforts

They are multiple pre-built connectors

there is a community for the customer support Review collected by and hosted on G2.com.

It maybe costly for the startup companies and small business.

The software delays due to frequency of use of huge amount of datas

Syncing of data fails on large data`s Review collected by and hosted on G2.com.

Fivetran excels at doing one thing incredibly well: reliably syncing data from multiple SaaS tools into a central data warehouse like BigQuery. The setup is remarkably fast—most connectors are essentially plug-and-play, with minimal configuration. I especially appreciate the wide connector library, automatic schema management, and robust alerting system. For a small team without a full-time data engineer, it’s a game-changer. It eliminates a ton of manual work and lets us focus on deriving insights rather than wrangling APIs. Review collected by and hosted on G2.com.

Pricing can be a barrier for early-stage startups or companies with unpredictable data volumes. Since Fivetran charges based on monthly active rows (MAR), costs can spike unexpectedly as your data grows—even if you’re not increasing the number of sources. Additionally, some niche connectors are still in beta or lack full functionality, and the granularity of scheduling could be more flexible (e.g., custom cron instead of fixed intervals). Review collected by and hosted on G2.com.

Fivetran makes data integration incredibly easy. Setting up connectors takes only minutes, and the automated pipelines handle schema changes seamlessly. The sync process is fast and reliable, and the documentation and UI make it straightforward to monitor jobs. Whenever I had questions, the support team was responsive and helpful, making adoption smooth. Review collected by and hosted on G2.com.

There’s not much to dislike given the overall value. Pricing can be higher than some alternatives, especially for smaller data volumes, but the ease of setup, speed, and excellent support make it worthwhile. Review collected by and hosted on G2.com.

1. Great extended support for google sheets , even on cell group level. It is easier to manage scd metadata with this feature.

2. Timely sync of data with less failures acroos various connections.

3. Support for almost every other software that are used by various enterprises.This gives freedom to be in one integrator and sync data from all softwares. Review collected by and hosted on G2.com.

The Schema section in connection is a bit slow but that is understandable.It would be good if the schema is pre fetched and stored runtime so it will be easier while editing setups. Review collected by and hosted on G2.com.

I appreciate Fivetran's ease of setup and usage, which made integrating our systems straightforward. Its reliability and secure platform ensure smooth data synchronization across multiple databases. I value its robust networking capabilities and the helpful services it provides for SaaS applications. Additionally, it simplifies schema management with its flexible features and supports enhanced data delivery and performance. Review collected by and hosted on G2.com.

I find Fivetran's pricing to be quite expensive. If the cost could be reduced or there were more flexible pricing options available, it would be more accessible to a larger group of users. Review collected by and hosted on G2.com.

I have been using Fivetran for over a year now and I love how easy it is to simply plug and play when it comes to connecting to almost any external SaaS platforms out there, saving us precious business time and resources.

I heavily rely on Fivertran to collect data from offline spreadsheets scattered across the business into one place by using the out of the box Sharepoint connector. Once set up, there is zero effort from the user to automate the entire data pipeline and easily channel the data into one place for analysis, saving me hours of VB coding!

Also love the fact that Fivetran guys are constantly adding newer connectors that I keep an eye on to try these out (business case depending) .

Overall, an extremely no-code solution for anyone who wants to automate their data pipeline with minimum effort. Review collected by and hosted on G2.com.

Nothing to dislike apart from the wait to have newer connectors added to their existing collection. Review collected by and hosted on G2.com.

We have a wide variety of source systems we need to extract data from. For 90+% of these FiveTran does the trick. Setup is easy and there isn't much to manage once set up. Review collected by and hosted on G2.com.

There is a known issue with Business Central connectors. We have been working with them for months trying to get it fixed or even get a timeline and we continue to be flying blind. This is pretty critical to our business and I'm sure with others using Microsoft Business Central so I wish they would be more communicative about this. Review collected by and hosted on G2.com.

1. Its ability to move data between different platform

2. It is easy to connect to different sources like API's,databases etc,

3. The data integration and movement is very easy.

4. It also acts as ETL tool. Review collected by and hosted on G2.com.

1. Pricing is bit high compared to other connectors. Review collected by and hosted on G2.com.

Huge connector library and "it just works". Review collected by and hosted on G2.com.

You have to be careful about how many rows you are loading, given the Monthly Active Rows pricing model, which can get expensive quickly for large data sources. Review collected by and hosted on G2.com.