In my current project, the specific use case of Fivetran is bridging the gap between siloed data, allowing me to extract and have it in the same data warehouse. Fivetran works with its seamless connections to sources and destinations, helping to avoid reinventing extraction logic from scratch. Fivetran already has data models, so it pulls in data quickly, providing it all in the same data warehouse.
Fivetran Data Movement Platform
FivetranExternal reviews
803 reviews
from
and
External reviews are not included in the AWS star rating for the product.
Easy Connectors and a Smooth Setup Experience
What do you like best about the product?
Easy connectors; really satisfied with the setup.
What do you dislike about the product?
I get far too many email updates about services I don’t use, and it’s becoming annoying.
What problems is the product solving and how is that benefiting you?
Getting the business information I need without having the technical skills to build the connectors myself.
Easy Setup and a Reliable Automated Connector
What do you like best about the product?
Easy Setup and reliable automated connector.
What do you dislike about the product?
Pricey at scale and limited custom connation flexibility.
What problems is the product solving and how is that benefiting you?
It Reduce manual ETL work and saving time and errors.
Effortless ELT
What do you like best about the product?
I like that Fivetran requires low maintenance and ensures data integrity and recovery with minimal custom scripting. I appreciate how it abstracts much of the 'EL' work, letting us focus more on delivering solutions. It saves us time from fiddling with extract and load processes, so we can concentrate on solving problems for our stakeholders.
What do you dislike about the product?
More detailed errors and log history would be ideal. Clearer root cause rather than generic error messages would help us debug or triage.
What problems is the product solving and how is that benefiting you?
Fivetran is low maintenance, ensures data integrity and recovery, and requires minimal custom scripting. It abstracts much of the 'EL' dirty work, letting us focus on solving stakeholder problems instead of fiddling with extraction and loading.
Reliable Data Replication with a Useful New AI Connector
What do you like best about the product?
Fivetran just launched a new AI connector feature which i find very useful where can create a connection if that is not natively available. Apart from that it is very reliable and efficient tool for data repliaction.
What do you dislike about the product?
Nothing major as of now. I’ve just noticed that a few niche tools aren’t available.
What problems is the product solving and how is that benefiting you?
Data fetching and inserting into our data warehouse.
User-Friendly with Vast Connectors, But Needs Better Error Transparency
What do you like best about the product?
I like Fivetran's easy-to-navigate UI and the variety of connectors it offers. It's easy to manage a bunch of different connectors and data sources all in one place. I also appreciate that Fivetran provides an easy low-code ETL solution.
What do you dislike about the product?
Sometimes we get obscure or silent failures that require reaching out to Fivetran support. It's hard to tell which side the error is coming from (Fivetran or the system it's syncing from).
What problems is the product solving and how is that benefiting you?
Fivetran provides easy low-code ETL, making it simple to manage various connectors and data sources in one place. Its user-friendly UI and wide array of connectors are beneficial.
Fivetran makes automated data pipeline.
What do you like best about the product?
Fivetran automates data pipeline management.
What do you dislike about the product?
Pricey at scale, limited custom connector flexibility.
What problems is the product solving and how is that benefiting you?
Eliminates manual ETL work, saving time and errors.
Direct Data Warehouse Integration That Just Works
What do you like best about the product?
I can connect it directly with my software and get the tables in my data warehouse
What do you dislike about the product?
some connectors are not yet available - like centric plm, wair tool. Shipmonk was not there but they just added now.
What problems is the product solving and how is that benefiting you?
It is solving the data fetching problem for us, we cant manually fetch data everyday and upload that to our data warehouse - which is the advantage for us.
User-Friendly Setup with Abundant Resources
What do you like best about the product?
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.
What do you dislike about the product?
What I dislike about Fivetran is that it doesn't allow for querying data within the platform, which can make data consumption heavy.
What problems is the product solving and how is that benefiting you?
Fivetran is helping our company bridge the gap between data and reporting. If data can be collected to help the business drive decision-making, Fivetran helps us get it into our warehouse.
Has accelerated data integration workflows and supports seamless development of custom connectors
What is our primary use case?
What is most valuable?
I've worked extensively with Fivetran, mainly used for extraction purposes, and I've worked with the transformation element in it as well. Fivetran not only has built-in connectors but also provides SDK connectors, allowing us to develop our own connectors in an easy manner. I don't have to write raw Python scripts or dumping scripts; it offers straightforward examples and guidelines, making it much simpler to develop custom connectors inside Fivetran. We've been able to develop many custom connectors as well, which is unique and beneficial for having everything centralized instead of having those connectors located elsewhere.
One of the best features by Fivetran is its clean, simple, and intuitive UI. It includes a transformation section where I can deploy my DBT queries and scripts. It also supplies good tracking capabilities for billing estimates and user permissions, allowing for customization to the desired level. The number of connectors it has remains a standout feature, and within connectors, the options available are very helpful. Although it sometimes appears static due to its built-in nature, it offers good flexibility for data transformation and caching, which I appreciate because it saves us extensive script-writing time.
What needs improvement?
The experience of using SDK connectors can be improved, as it lacks computational power, which is an area that needs enhancement. Additionally, for some connections, I want more flexibility during ingestion, specifically for transformations needed beforehand. When we tried to use a built-in Oracle connector, it didn't allow for the tweaks we needed, which led us to the SDK connector route and caused delays in development.
For how long have I used the solution?
I've been working for almost four years in this field, and it has been a really great learning and challenging opportunity, allowing me to work on various different stacks and to learn and grow extensively.
What do I think about the stability of the solution?
In my experience, Fivetran is stable with very few instances of downtime or reliability issues, and overall, I am very happy with it.
What do I think about the scalability of the solution?
Fivetran's scalability has been tested effectively, and it has been working well for our organization's growing data needs. However, the performance with SDK connectors could be improved, as it took around 10 to 12 days to conduct historic ingestion for just two years, which I find unsatisfactory.
How are customer service and support?
Customer support from Fivetran is quite good; it's really nice and responsive. I am very happy with my experiences in reaching out to them.
Which solution did I use previously and why did I switch?
Before Fivetran, we used Skyvia, which is a no-code ETL tool. I also considered Data Factory as an alternative. However, I found Skyvia lacking in maturity and Data Factory better suited for enterprise solutions but limited in connectors. Scripting solutions demanded more work and included additional costs, which led to my decision to switch to Fivetran.
How was the initial setup?
My experience with pricing, setup costs, and licensing has been satisfactory; however, I notice that as row numbers increase significantly, it can get a bit more expensive. Overall, it's fairly reasonable.
What about the implementation team?
We see fewer employees needed due to Fivetran's efficiency, which translates to money saved, as employee wages are much higher compared to the costs associated with the software itself.
What was our ROI?
Fivetran provides time savings, cost reductions, and improvements in data quality. For example, in working with Shopify, we faced numerous errors and challenges with in-house complicated connectors. The time directly correlates to cost; when the time investment decreases, fewer developers are needed, which means significant savings. Generally, we have seen very few instances of data quality issues since implementing Fivetran.
Which other solutions did I evaluate?
What other advice do I have?
My advice for those looking to use Fivetran is to rely on its documentation, which is very straightforward and accurate. Avoid depending too much on AI for Fivetran issues; the dedicated documentation suffices for most inquiries. If problems arise, Fivetran's support team is quick to assist. I rate Fivetran 9 out of 10.
Fivetran data connectors helps in my daily work to pull data from different source and updates data
What do you like best about the product?
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
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
What do you dislike about the product?
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
The software delays due to frequency of use of huge amount of datas
Syncing of data fails on large data`s
What problems is the product solving and how is that benefiting you?
Fivetran makes moving and syncing data super easy. It handles updates and changes automatically, saves engineers time, and works well with custom connectors and dbt. Costs can go up with lots of data, but overall it’s a reliable, hassle-free solution
showing 1 - 10