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needs more connectors and better customer service. easy to use and fast though.
What do you like best about the product?
it's easy to use and fast. the utilization pricing model is good.
What do you dislike about the product?
slow response times & need to resync when minor changes to databases made
What problems is the product solving and how is that benefiting you?
mostly used to build our internal KPI's
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data extraction
What do you like best about the product?
allows us to track data flow and map to perform analysis. we used Fivetran for Snowflake implementation to bring in data around Salesforce opportunities and sales renewals and was able to create a dashboard from this data
What do you dislike about the product?
Data extractions are more manual than automatic.
What problems is the product solving and how is that benefiting you?
We are currently using it to create a sales dashboard and funnel with live features. The ability to see data in a different way has been a large benefit
Recommendations to others considering the product:
NA
Experience of Fivetran
What do you like best about the product?
The level of support we received when we purchased the product was excellent, and the people assigned to our account helped us get over the initial learning curve. The number of out-of-the-box connectors is also excellent as well.
What do you dislike about the product?
The support portal needs some further work and is not as user-friendly as some other software vendors.
What problems is the product solving and how is that benefiting you?
We can extract and load data we produce and procure into our Snowflake Data Warehouse.
Recommendations to others considering the product:
Make sure that you understand the sources of data you want to consume and ensure that the connectors are there available to you.
Best data investment
What do you like best about the product?
Automation of synced data sources and eliminating the need for data engineers.
What do you dislike about the product?
The fact that you can't add an entire database and select which tables to synchronize but instead create a connector for each table.
What problems is the product solving and how is that benefiting you?
Consolidating data to one source fo truth
Easy to work with
What do you like best about the product?
Very quick and easy to set-up. Nice documentation.
What do you dislike about the product?
Nothing specific. Overall worked well and got the job done.
What problems is the product solving and how is that benefiting you?
Pulling in data from various 3rd party services without writing much code.
Great ELT solution for consolidating data across enterprise
What do you like best about the product?
1. Easy to set up and wide connector availability
2. Billing on monthly active rows instead of events inserted/modified
3. Partner and Pre-sales support
2. Billing on monthly active rows instead of events inserted/modified
3. Partner and Pre-sales support
What do you dislike about the product?
Nothing much to dislike but a reverse integration from warehouse to SaaS sources will also be a great addition
What problems is the product solving and how is that benefiting you?
We are integrating Customer data across sales, support, and marketing to create a 360-degree view for the top management and concerned teams. This removes silos and disconnects, such as between sales and support. We are also running analytics on this data to help plan our sales/marketing capacity.
Expensive and not always stable.
What do you like best about the product?
It's straightforward to set up and connects platforms into our data lake with Fivetran.
The UI is intuitive and friendly. Support has been good.
The UI is intuitive and friendly. Support has been good.
What do you dislike about the product?
It's expensive for what it offers, especially with other solutions around.
We also had some connectivity interruptions.
We had cost surprises, and the team has not been flexible in resolving those.
Sales reps are on aggressive targets.
As a result, we are moving away to other connectors.
We also had some connectivity interruptions.
We had cost surprises, and the team has not been flexible in resolving those.
Sales reps are on aggressive targets.
As a result, we are moving away to other connectors.
What problems is the product solving and how is that benefiting you?
Connecting ad platforms and analytics to our Snowflake database.
Recommendations to others considering the product:
Estimate your usage, so you don't encounter surprises.
Great number of connectors, straightforward and easy to optimize pricing
What do you like best about the product?
Very easy to get started, large number of well maintained connectors, and good support
What do you dislike about the product?
Transformations product is not very well developed, not allowing me to use Fivetran to cover more of the data value chain
What problems is the product solving and how is that benefiting you?
Fetching data from SaaS services, not having to maintain API contracts for these services saves engineering time.
Recommendations to others considering the product:
Ensure that you have enough connector coverage into your needs, and also be careful about varying row counts (Segment is going to be notoriously expensive compared to a snapshot view like for Shopify or some other SaaS tool).
Data connection
What do you like best about the product?
Ease to make connections between different data sources
What do you dislike about the product?
If your data is large its going to cost a alot
What problems is the product solving and how is that benefiting you?
Connection between different data sources. We could do it with fivetran without using any code
Fivetran great for QuickBooks Online data!
What do you like best about the product?
It's very easy to get started and also offers the ability to connect with custom API scripts.
What do you dislike about the product?
Only wish there were more native connectors for low-code apps like Airtable.
What problems is the product solving and how is that benefiting you?
We are using it to push QuickBooks Online data to a Google BigQuery data warehouse because you actually can't export all the QBO data there is with the CSV exports they expose in the web application. Because we're able to move QBO data into a data warehouse, we're now able to do incredible business intelligence platform visualizations.
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