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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.
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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.
Gets the job done with our legacy environment
What do you like best about the product?
I like that it supports moving data from a legacy environment. It easily connects to our mainframe database and moves incremental data. When we needed support, we are able to get on a call and solve the issue. I like the number of available connectors, should we decide to utilize more data sources. The recent change in licensing has allowed us to increase our data and reduce our spend. Overall I like this tool.
What do you dislike about the product?
Our challenge is that we have a cloud hosted mainframe database, we had an issue using the proxy version of the sync tool, and had to switch to a reverse SSH tunnel that requires a bit more work to set up an maintain. After a few months of figuring it out, we are now stable.
What problems is the product solving and how is that benefiting you?
We needed an easy tool to move our data from mainframe to Snowflake. I like that it does incremental change for the database, which makes the sync time less.
Expensive but valuable
What do you like best about the product?
The simplicity of use and wide-ranging number of "pre-baked" sources. It is very impressive, and the catalogue is always growing.
What do you dislike about the product?
The pricing model, specially the new "MARs per connector" pricing model.
We would use it for more sources, specially, event sources, but it is impractical.
We would use it for more sources, specially, event sources, but it is impractical.
What problems is the product solving and how is that benefiting you?
It is our primary ingestion method from SaaS providers and 3rd party solutions. The way schema changes are managed is very solid, creates consistency on our approach, and saves engineering time.
Low code, low management for data pipeline
What do you like best about the product?
HVR, HVA, many connectors with easy management
What do you dislike about the product?
There is few items to be improved, especially in UI side
What problems is the product solving and how is that benefiting you?
High frequent near real time replication from on-prem SQL to Data Lake (ADLS gen2) through Snowflake with HVA hybrid,
muy caro para casos de uso
What do you like best about the product?
facilidad de uso para gente no tecnica y multiples funciones
What do you dislike about the product?
costos asociados a los pipelines de datos
What problems is the product solving and how is that benefiting you?
hubspot
A great tool, but with a matching price tag
What do you like best about the product?
The most useful thing about Fivetran is that it considers a lot of things for us. We use it everyday for ingestion, and it's working very well. It took little time to implement and integrate with our product, and their support has been really nice.
What do you dislike about the product?
The only downside we face while using Fivetran is the cost. The associated cost is not cheap.
What problems is the product solving and how is that benefiting you?
Ingesting data from Customers
The product works. Can get expensive on some bigger connectors.
What do you like best about the product?
Reliability. The product works. We have rarely been let down by it.
What do you dislike about the product?
Obscure pricing. Super normalised data models also just add to MAR
What problems is the product solving and how is that benefiting you?
We use Fivetran to bring in data from external sources. We do not use their pre-built models
FiveTran is expensive but worth it
What do you like best about the product?
It has reduced our data engineer headcount and their communication about issues/bugs has been great, highly proactive. Our trust level is high with it.
What do you dislike about the product?
It is a proprietary platform, so it may not have long-term sustainability depending upon its cost effectiveness relative to other upcoming options.
What problems is the product solving and how is that benefiting you?
Extraction of data from SaaS applications to Snowflake
Best Third Party ETL
What do you like best about the product?
Great variety of connectors and ease of setup
What do you dislike about the product?
Some connectors are advertised as fully functional but do not work
What problems is the product solving and how is that benefiting you?
It allows us to pull a variety of data sources into a single data warehouse
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