At our company, we are using Fivetran for change data capture and to sync between two different databases using the high volume replication feature.
Fivetran Data Movement Platform
FivetranExternal reviews
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Excellent product & support!
What do you like best about the product?
Seamless integration with Google Ads & Meta and GA4.
What do you dislike about the product?
Nothing! I wouldnt change a thing if I am honest.
What problems is the product solving and how is that benefiting you?
Aggregating all the important advertising & financial data in one place => Metabase.
Fivetran
What do you like best about the product?
Fivetran is easy to use and saves our engineers time to implement data transformations
What do you dislike about the product?
It is missing some log connectors such as ELK
What problems is the product solving and how is that benefiting you?
Fivetran solving some of our data extracts from some SAAS platforms and a few of our products
Offers native connectivity and real-time syncing but lacks an in-line data quality checking feature
What is our primary use case?
What is most valuable?
Fivetran offers native connectivity with Sybase, which is highly valuable. The solution also allows real-time syncing and especially between Sybase and Snowflake, which is the solution's use case in our organization. Fivetran provides seamless integration without any data loss, and data changes are reflected in real time. Due to the change data capture capability, Fivetran allows the seamless data flow from one way to another.
What needs improvement?
Fivetran has multiple offerings and I have majorly worked with the high volume replication feature. An in-line data quality checking capability is missing in the solution. Whatever data gets synced or converted from one format to another as part of an ETL task using Fivetran, a data quality check cannot be performed.
As part of the data observation, when the data flows from the source to the target, there isn't a single interface provided by Fivetran to observe the data flow process, check for issues, and implement a comparison with historical transformation. The data observability could also be better in the product in terms of the gaps present.
For how long have I used the solution?
I have been using Fivetran for nearly two years.
What do I think about the stability of the solution?
The solution offers satisfying stability.
What do I think about the scalability of the solution?
Fivetran is reasonably scalable and easy to use and I haven't faced any challenges with scaling.
How are customer service and support?
The customer support from Fivetran is satisfying. I would rate customer support an eight out of ten.
How would you rate customer service and support?
Positive
How was the initial setup?
The on-prem deployment of Fivetran is a little bit complex, but the on-cloud deployment through the vendor's SaaS offering is comparatively easier and simpler. Just a couple of professionals are required to deploy Fivetran.
What's my experience with pricing, setup cost, and licensing?
I would rate the pricing a seven out of ten. The product is reasonably expensive.
What other advice do I have?
The solution provides a satisfying user experience by utilizing its automation capabilities. I would rate the product a seven out of ten.
Its easy to setup connectors
What do you like best about the product?
The UI and its rich feature in product and seamless connections
What do you dislike about the product?
Some VPC intenral network does not allow to make connections
What problems is the product solving and how is that benefiting you?
Able to copy data easily to snowflake from other DBs
Very help iPaaS out of the box with no code set up
What do you like best about the product?
That it is no code, very well documented set up guides, as a non technical owner I can set up my own pipelines without help from an engineer or someone from the Central Data Platform team.
I also think Fivetran supports a very comprehensive set of connectors and sources and destinations.
I also think Fivetran supports a very comprehensive set of connectors and sources and destinations.
What do you dislike about the product?
When the connector fails, I can see in the log there is an error but I don't actually know which table are missing data or have incorrect data.
Support is sometimes subpar because of offshoring to India, I have to wait 24 hours before getting a reply.
Support is sometimes subpar because of offshoring to India, I have to wait 24 hours before getting a reply.
What problems is the product solving and how is that benefiting you?
Replicating Stripe data and Salesforce data to our datawarehouse destination
One stop shop for ETL
What do you like best about the product?
Its easy to get data from various sources easily and standardize them.
What do you dislike about the product?
Some API endpoints are not fully built out. so we need to request that the endpoint be added.
What problems is the product solving and how is that benefiting you?
efficient in pulling the data we need from sources.
Has a great SysTrack load feature, but the real-time data needs improvement
What is most valuable?
SysTrack load is the best feature.
What needs improvement?
This solution needs to improve its real-time data and transformation availability. You have to extract a load before you can do any transformation.
Another improvement that can be made is with load extraction. This functionality should be implemented with obligating data and data masking.
For how long have I used the solution?
I have been using Fivetran for a couple of months.
What do I think about the stability of the solution?
The stability is an eight out of ten.
What's my experience with pricing, setup cost, and licensing?
I rate the pricing a six out of ten.
What other advice do I have?
Overall, I rate the solution a seven out of ten.
Plug and play solution that is budget friendly
What do you like best about the product?
Creating custom ETLs with staging and error handling for multiple sources of data requires a team of engineers (or one engineer and several months). Fivetran allowed me to spin up pipelines immediately for both simple and complex sources (e.g. Facebook). It is significantly cheaper to maintain these pipelines than hiring more full time engineers! Implementing Fivetran was fast, easy and exceptionally cost effective.
What do you dislike about the product?
Fivetran worked well for all of our data sources except Google Analytics. This is likely not an issue for most users but because we have a tremendous amount of data from this source, Fivetran's plug and play delta loads just weren't the right solution. Aside from that one source, Fivetran has met all of our needs.
What problems is the product solving and how is that benefiting you?
Fivetran allows us to ingest data from multiple external sources without having to build custom code, monitor loads and manage errors. In fact, it is a completely no-code solution that requires minimal set up, even for complex data sources.
Easy ETL!
What do you like best about the product?
It's super simple to setup and monitor data pipelines, there is alerting that informs us of any issues and any major outtage is looked into and resolved quickly by their engineering team.
What do you dislike about the product?
There aren't any downsides. A bonus would be to improve orchestration capabilites to be in line with Airflow.
What problems is the product solving and how is that benefiting you?
Data engineering without an engineer!
Effortless ETL and Transforming Data Integration
What do you like best about the product?
As we talk about implementation, it is easy to use. Provide fast data migration. It has wide range of connectors which helps in connecting and integrating data from different sources. Provides real time sync with data.
What do you dislike about the product?
One of the concern is pricing structure especially when the user deals with large volume of data. There might be security concerns as storing sensitive data into the cloud. It doesn't provide complex data transformations.
What problems is the product solving and how is that benefiting you?
It is user friendly, users can use it having technical or non technical knowledge.
Real time data sync up ensuring the data is synchronised and centralised warehouse is upto date.
It provides tools for managing and monitoring data integration which helps in optimising and track performance for better efficiency.
Real time data sync up ensuring the data is synchronised and centralised warehouse is upto date.
It provides tools for managing and monitoring data integration which helps in optimising and track performance for better efficiency.
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