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
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Sampling Data We Love
What do you like best about the product?
The sampling data helps me prepare Press releases, case studies, data-driven stories, study patterns etc. It gives me insight into cultural shifts happening geographically. When I was working for a sustainability site, Census helped me find information about funding, allocation, and more. It is also a very reliable benchmark source for studies and surveys.
What do you dislike about the product?
Sometimes data can be outdated. Census data is collected every 5 or 10 years so one might question if the data is even reliable or not. I cannot think of anything that I dislike about Census.
What problems is the product solving and how is that benefiting you?
Prepare highly relevant press releases and data-driven stories that have a high chance of getting published on journalist pages.
Fivetran has been our
What do you like best about the product?
The best thing about Fivetran is the wide range of connectors with almost every data ingestion service and the ease of use. Automated schema handling and incremental syncs make it particularly strong for scaling ingestion across many systems.
What do you dislike about the product?
We have occasionally seen unexpected full reloads, which can be disruptive for high volume tables. MAR (Monthly Active Rows) pricing also lacks transparency and can quickly escalate for frequently updated datasets. In some cases, the fully managed nature of the platform limits deeper customisation.
What problems is the product solving and how is that benefiting you?
Fivetran benefits us by giving us reliable, low‑maintenance data ingestion with minimal engineering effort. Its wide range of connectors lets us onboard new data sources quickly, while automated schema handling and incremental syncs reduce breakages and manual work. Overall, it speeds up our data pipelines, improves reliability, and frees our team to focus on analytics rather than managing pipelines.
Reliable, Fully Managed Experience—But Pricing Limits Flexibility
What do you like best about the product?
The reliability of Fivetran exceeds community-driven solutions, it's a more full-managed service experience
What do you dislike about the product?
Pricing and lack of open source hosting solutions to reduce overall cost
What problems is the product solving and how is that benefiting you?
Easy ingestion layer for data pipelines which saves us time on both configuration / creation of the pipelines and the ongoing maintenance for any changes in the data
Effortless data load
What do you like best about the product?
Pre-defined schema for a wide range of products for reporting.
Easy connectors so that data can be loaded with a click of a button
Easy connectors so that data can be loaded with a click of a button
What do you dislike about the product?
Can add some small space to apply transformation on top of the schema they provide so it will be a direct requirement load for dashboard
What problems is the product solving and how is that benefiting you?
Easy connectors for meta googledrive jira and many more
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
A great automated tool for data integration
What do you like best about the product?
1. Its ability to move data between different platform
2. It is easy to connect to different sources like API's,databases etc,
3. The data integration and movement is very easy.
4. It also acts as ETL tool.
2. It is easy to connect to different sources like API's,databases etc,
3. The data integration and movement is very easy.
4. It also acts as ETL tool.
What do you dislike about the product?
1. Pricing is bit high compared to other connectors.
What problems is the product solving and how is that benefiting you?
1. I used this mainly for data movement using fivetran connectors to my databases. I use the raw data further and make the analysis.
Seamless data integration with fast setup and responsive support
What do you like best about the product?
Fivetran makes data integration incredibly easy. Setting up connectors takes only minutes, and the automated pipelines handle schema changes seamlessly. The sync process is fast and reliable, and the documentation and UI make it straightforward to monitor jobs. Whenever I had questions, the support team was responsive and helpful, making adoption smooth.
What do you dislike about the product?
There’s not much to dislike given the overall value. Pricing can be higher than some alternatives, especially for smaller data volumes, but the ease of setup, speed, and excellent support make it worthwhile.
What problems is the product solving and how is that benefiting you?
Fivetran eliminates the need to build and maintain custom data pipelines. It automatically replicates data from numerous sources into our data warehouse, which allows our analysts to focus on generating insights instead of managing integrations. The platform keeps pace with schema changes and ensures data is synced quickly and accurately, saving us significant engineering time and enabling more timely reporting.
Reliable Data Sync with a Pricey Tag
What do you like best about the product?
I appreciate Fivetran's ease of setup and usage, which made integrating our systems straightforward. Its reliability and secure platform ensure smooth data synchronization across multiple databases. I value its robust networking capabilities and the helpful services it provides for SaaS applications. Additionally, it simplifies schema management with its flexible features and supports enhanced data delivery and performance.
What do you dislike about the product?
I find Fivetran's pricing to be quite expensive. If the cost could be reduced or there were more flexible pricing options available, it would be more accessible to a larger group of users.
What problems is the product solving and how is that benefiting you?
I use Fivetran to sync data across multiple databases effortlessly with a reliable and secure platform. It simplifies ETL processes, supports easy schema changes, and offers fast data delivery, enhancing my data management experience.
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