Fivetran Data Movement Platform
FivetranExternal reviews
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Works well, simple to use
What do you like best about the product?
How quickly you can upload spreadsheets to tables.
What do you dislike about the product?
It was a little unintuitive to use the very first time. I believe it was between the selecting data to upload and then turning the uploaded data into tables screens.... the experience just became a little disjointed.
What problems is the product solving and how is that benefiting you?
We're turning spreadsheets into tables, simple enough. Saves time
Recommendations to others considering the product:
Not sure this applies.
Amazing Product and Awesome People
What do you like best about the product?
This may sound silly, but what I like best is FiveTran does exactly what it promises to do. I don't think you can approach a modern data architecture and not consider a product like FiveTran which offloads the burden of creating custom data integration scrips from your development team to pre-built connectors. They support a tremendous number of data sources with their prebuilt connectors. We have implemented over 20 to date and all have worked flawlessly. I'm so happy to be done with custom ETL tools and hiring in house develops to build and maintain. I also know that my data engineers and analysts are much happier focusing on insight and on how to get data from A to B. It pays for itself in terms of time savings.
The sales process was very professional and the FiveTran team invested a lot of time in helping us to create a proof of concept so we could really see the tool in action. After the sale was done the on-boaring team was great and provided wonderful training session and continue to remain responsive to all questions. Great people all around.
The sales process was very professional and the FiveTran team invested a lot of time in helping us to create a proof of concept so we could really see the tool in action. After the sale was done the on-boaring team was great and provided wonderful training session and continue to remain responsive to all questions. Great people all around.
What do you dislike about the product?
While all of the connectors work very well we have had a few moments where it wasn't clear what the sync status was. When you first implement a connector and especially if there is a large amount of data we found that we we not always clear on when the initial sync was completed.
What problems is the product solving and how is that benefiting you?
The biggest issue we solved is the lack of ability to pull in more data to our Snowflake data warehouse. We had a single ETL developer slaving away for months to get one data source setup. With FiveTran we implemented 20 in 2 months. We are saving a ton of time and effort.
Recommendations to others considering the product:
Take a serious look at FiveTran.
Easy simple and gets the job done
What do you like best about the product?
How simple it is to configure connectors
What do you dislike about the product?
There is no bulk actions to create many connectors at once
What problems is the product solving and how is that benefiting you?
Our use case is to create replication of db schemes from production to our data analysis layer
My team is a heavy user of Fivetran to Snowflake. We are actively exploring Fivetran to Delta
What do you like best about the product?
The stability of Fivetran to Snowflake has been great. SLA is matching with Punchh's requirement.
What do you dislike about the product?
No much. Just wanted to see a stable Fivetran to Delta coming out ASAP.
What problems is the product solving and how is that benefiting you?
MySQL to Fivetran to data lake. Current lake is snowflake. The future is general Hadoop (databricks, qubole, etc)
As a data ingestion tool, Fivetran has been a great help.
As a data ingestion tool, Fivetran has been a great help.
Recommendations to others considering the product:
N.A
Robust and reliable ETL tool that allows you to "set it and forget it".
What do you like best about the product?
The validity of the data is usually great and the responsiveness to issues has always been good
What do you dislike about the product?
As a repeat buyer, the changes in pricing model was confusing and I certainly felt I was getting a lot less value for money the second time around.
What problems is the product solving and how is that benefiting you?
Replicating data from SaaS tools in data warehouses accurately and reliably.
Easy to use, easy to learn, and fast
What do you like best about the product?
Fivetran makes it easy to capture data without needing to fully understand the underlying structure of that data.
What do you dislike about the product?
It would be great if they had more connections!
What problems is the product solving and how is that benefiting you?
We're automating our most common ETL scenarios with clients and it's saved a ton of time.
data engineer
What do you like best about the product?
Easy to use, clean UI, focus on data syncing
What do you dislike about the product?
error messages are not helping. Hard to do troubleshooting while there is a task
What problems is the product solving and how is that benefiting you?
Data integrations from different systems are always hard. Fivetran provided neat solutions for that. And generated reporting ready model for APIs.
Good for scaling our business processes
What do you like best about the product?
Decent UI, data is versioned and always in the same place.
What do you dislike about the product?
It could be easier. Maybe make a browser plugin or some other shortcuts.
What problems is the product solving and how is that benefiting you?
Better communication and tracking
Fivetran rocks!
What do you like best about the product?
Easy connector set up with many integrations.
What do you dislike about the product?
A bit slow with larger data sets on initial import.
What problems is the product solving and how is that benefiting you?
ETL - we’ve been able to save many developed hours.
Fivetran: Managed ELT so you can better leverage your engineers time
What do you like best about the product?
Fivetran is a fully managed and automated data pipelining solution. It saves time and energy for your engineers and allows you to do more with less.
What do you dislike about the product?
Fivetran does ELT very well but there are certain times where ETL is a better solution. It doesn't have many solutions in regards to solving ETL problems.
What problems is the product solving and how is that benefiting you?
At it's core, Fivetran is a Data Centralization tool. It's main purpose is to unite data from all your disperate sources such as Salesforce, Marketo, Postgres, or Cloud Storage and load them into your MPP data warehouse of choice (Redshift, BigQuery, Snowflake, Synapse, etc.).
Recommendations to others considering the product:
Look through the connectors they offer. Even if they don't offer all the connectors you would need, they are responsive to adding new ones and you can often find other solutions to adding data to your Warehouse. You are able to do a ton with very little resources and although you may have to do some data massaging down the line, it really enables small teams to do a great amount of work.
It's important to think about your entire data ecosystem when purchasing Fivetran. It's often a tool which is best leveraged when bundled with other tool such as a Modern MPP database like BigQuery or Snowflake and with a great BI platform tool like Looker.
With a combo like the one mentioned above, your team can really work to leverage data throughout your entire organization with only a few resources.
It's important to think about your entire data ecosystem when purchasing Fivetran. It's often a tool which is best leveraged when bundled with other tool such as a Modern MPP database like BigQuery or Snowflake and with a great BI platform tool like Looker.
With a combo like the one mentioned above, your team can really work to leverage data throughout your entire organization with only a few resources.
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