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Fivetran is a generally good solution for our data elt needs
What do you like best about the product?
The large number of available connectors and easy to use interface
What do you dislike about the product?
- Slowest sync frequency is 24 hours
- Can not set sync hours to be within a window of time (working hours) without having to use the fivetran api
- Doesn't have a connector to HAQM Seller Central
- Would be great to be able to only sync certain records within a specific table (based of sql query or filter)
- Can not set sync hours to be within a window of time (working hours) without having to use the fivetran api
- Doesn't have a connector to HAQM Seller Central
- Would be great to be able to only sync certain records within a specific table (based of sql query or filter)
What problems is the product solving and how is that benefiting you?
Transfering data from data sources to warehouse.
This makes it significantly easier to analyze data from all sources.
This makes it significantly easier to analyze data from all sources.
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Good experience so far, just a bit expensive
What do you like best about the product?
- Super easy to set up
- Documentations are clear
- Documentations are clear
What do you dislike about the product?
I experienced a bug a few weeks back. When I set up a connector, all the tests passed, but when I did the sync, I kept getting a null pointer error.
What problems is the product solving and how is that benefiting you?
Ingesting a few third-party data sets. No need to manage API connectors ourselves, very handy.
Recommendations to others considering the product:
Very useful for handling a large number of API connectors
A nice tool for ETL
What do you like best about the product?
I enjoy the speed and capability of Fivetran, as well as the flexibility. It's a true data integration tool combined with many features and provides tremendous functionality for sharing and controlling the ETL pipeline.
What do you dislike about the product?
I wish the product would make warehouse recommendations and seamless integration. Also, I would appreciate it if the documentation could cover more on various APIs and make the developers easier.
What problems is the product solving and how is that benefiting you?
We are trying to send emails and invite the users. And all these ingestion work is through Fivetran. The whole process is simplified anad deinitely reduced our work a lot.
VP, Analytics
What do you like best about the product?
Fivetran makes data engineering accessible to business users. It has dramatically improved the reliability of our data in Snowflake for much less than a FTE.
What do you dislike about the product?
Account onboarding could have been smoother, aside from that the product just works.
What problems is the product solving and how is that benefiting you?
We do not have the capacity or resources to hire a full time data engineer to oversee an in-house solution. Getting accurate data flows into snowflake is critical.
Fivetran has helped me in two different SMB startups now jumpstart our ETL/ELT pipelines.
What do you like best about the product?
The ease of integrating a new data source with Fivetran with limited data engineering resources helps tremendously. We use a stack of Snowflake and Domo to collate and present findings.
What do you dislike about the product?
Sometimes connectors are not fully explained ahead of time to show what will be received from integrating them. The excellent news is Fivetran allows you to test new connectors for free.
What problems is the product solving and how is that benefiting you?
Centralizing all our vendors and in-house data sources. Enabling reporting and data democratization.
Easy to use and great support
What do you like best about the product?
Fivetran was an easy choice because it connects with all of our marketing platforms and database solutions we use across several different clients. Setting up new connections is effortless.
What do you dislike about the product?
Compared to other tools we have used for marketing data ETL, Fivetran doesn't offer as much in out-of-the-box aggregations. It's really just a straightforward method of getting raw data from sources.
What problems is the product solving and how is that benefiting you?
We are now able to implement more robust analysis on marketing data and compare metrics between different sources easily. Having all of our data stored in a centralized BigQuery repository has been helpful in moving beyond the limitations of Supermetrics connectors in Data Studio.
Great ETL Tool to load data into Snowflake
What do you like best about the product?
Setting up most of the connectors is easy and they have lots of documentation available. The integration with dbt Core to power transformations has been very powerful.
What do you dislike about the product?
Unable to do any kind of transformations or changes before the data is loaded into the destination.
What problems is the product solving and how is that benefiting you?
Unable to connect to a few data sources
Not dependable enough
What do you like best about the product?
Less expensive than main competitors for the most part.
What do you dislike about the product?
Not reliable enough.
FiveTran constantly fails to update connectors before API updates, resulting in very random and steep spikes in charges as their system continues to ping API over and over again when it continues to face errors due to calling depreciated version of API... as well as very unreliable flows of data.
Highly recommend testing any and all alternatives before proceeding with any tests with fivetran.
FiveTran constantly fails to update connectors before API updates, resulting in very random and steep spikes in charges as their system continues to ping API over and over again when it continues to face errors due to calling depreciated version of API... as well as very unreliable flows of data.
Highly recommend testing any and all alternatives before proceeding with any tests with fivetran.
What problems is the product solving and how is that benefiting you?
just a data pipeline in place of having to manually maintain ETL scripts in Bigquery
Nice no-code ETL solution
What do you like best about the product?
Flexible table schemas if the API allows. Setting up most of the connectors is straightforward and they have heaps of documentation on the others. I appreciate that they're leaning in to dbt to handle transforms instead of trying to write their own UI. That might be less approachable for some teams, but if you're already converted to dbt it's great.
What do you dislike about the product?
I thought I wouldn't run in to anything it couldn't connect to--but it turns out I do fairly frequently. There are also some undocumented features that are a little frustrating. More than once I've had a customer service rep say they could enable something for me--but if I had not contacted them I wouldn't know that feature existed. Finally you are locked in to schema and table names very early in the process, so if you are going to be connecting a lot of tables in a lot of databases you need to be conscientious about naming conventions early on because changing is a pain.
What problems is the product solving and how is that benefiting you?
Data aggregation for a host of marketing clients. We connect mostly Google Analytics, Google Ads, Facebook Ads.
The fastest way to get operational data into a data warehouse.
What do you like best about the product?
The interface and user experience are straightforward and easy to use.
What do you dislike about the product?
It's not cheap and the pricing scheme is opaque. It also can get incredibly costly quickly if you don't scope your contract correctly.
What problems is the product solving and how is that benefiting you?
It's great for federating data across operational platforms.
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