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No-code, low fuss Extract Tool
What do you like best about the product?
- It is very easy to get started and ingest data. There is no infrastructure or code to manage
- There is a huge catalogue of connectors available which covers the requirements of most of the enterprise customers
- Fully managed service - that means you can set it and forget it without much maintainence
- There is a huge catalogue of connectors available which covers the requirements of most of the enterprise customers
- Fully managed service - that means you can set it and forget it without much maintainence
What do you dislike about the product?
- The pricing model is not very good. Pricing based on the monthly active rows is confusing and difficult to forecast the pricing
- Enterprise customers with a large amount of data might not find the pricing model very attractive.
- Enterprise customers with a large amount of data might not find the pricing model very attractive.
What problems is the product solving and how is that benefiting you?
- Fivetran replaces inhouse data extraction python scripts and provides enterprise grade data, managed connectors that can pull data from a variety of sources.
- WIth this data engineers can focus more on delivering insights and data to business than spending hours writing customer extraction scripts and maintaining infra needed to run them
- WIth this data engineers can focus more on delivering insights and data to business than spending hours writing customer extraction scripts and maintaining infra needed to run them
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Fivetran is a useful service for optimizing your data organization and ELT processes
What do you like best about the product?
Fivetran makes data engineering processes easier by replicating and automating our data warehouse complete with historical data. Using Fivetran's tables accelerates our time to publish data visualizations and help our chief-level staff perform using data-driven decisions.
What do you dislike about the product?
Some services Fivetran offers - particularly with historical data and data warehouse tables - can be costly to automate and track. In some cases, there are accessible alternatives to track only a subset of this data for barely a fraction of the price.
What problems is the product solving and how is that benefiting you?
When we used Fivetran, it helped our organization track events and event history across our platform in a way that is enabling us to efficiently organize and visualize data even with a limited amount of team members. With Fivetran's data replication and automated table production, data analysts can pick and choose which fields they need for stakeholder data visualizations without having to wait for the data to be prepped, cleaned, and organized by a data engineer. This massively increases our time to publish Tableau dashboards and quickly have access to data and data history that we may not have been able to utilize previously.
Fast, easy data pipelines
What do you like best about the product?
Very easy to add new connectors and get things up and running quickly!
What do you dislike about the product?
So far nothing. It's made things much easier and faster on our end. The ability to add connectors quickly and move our data has been really helpful.
What problems is the product solving and how is that benefiting you?
Moving data from various places into a single location.
We're using Powered by Fivetran for our customer experience
What do you like best about the product?
We love the range of connecters and destinations, the security (we work with investment managers) and the ability to embed Powered by Fivetran into our customer experience.
What do you dislike about the product?
We've certainly needed some help getting our connectors and processes set up and we had some onboarding issues but resolved now. Very help account manager and support.
What problems is the product solving and how is that benefiting you?
Fivetran provides us with the ability to connect to our clients data sources and bring that data into our benchmarking product - with our clients being comfortable that Fivetran is managing the process and the security.
Good product when it works
What do you like best about the product?
Connectors are great for speeding up and keeping our schemas up to date.
What do you dislike about the product?
The connectors often break or are missing information. They often do respond quickly enough unless I, a C-level exec, ask why they aren't fixing it.
What problems is the product solving and how is that benefiting you?
Easily ingesting our 3rd party and 1st party data
Great tool that get's the job done
What do you like best about the product?
Fivetran connects to a variety of sources that are used throughout multiple industries. Usage of these connectors is as simple as being provided the correct credentials to the application and select what data you'd like to sync.
What do you dislike about the product?
Support could be better - it's really hit or miss on which support agent you get if a connection isn't working as expected. For example, I was having problems connecting to a connector and needed to go to the vendors (connectors) support to get a better work around; this kept my case open with Fivetran and still awaiting help further downstream from Fivetran Support.
What problems is the product solving and how is that benefiting you?
Getting data into the environment quickly and in a repeatable fashion for further transformation, analysis and ultimate consumption by end users.
Fivetran for Donuts
What do you like best about the product?
The integration between my POS data and anything else I might want to do with it is seamless
What do you dislike about the product?
Pricing is a little higher than I wouldve hoped but ultimately, worth it
What problems is the product solving and how is that benefiting you?
Projecting how many donuts to make each day using historical data extracted through Fivetran
Data Scientist
What do you like best about the product?
Fivetran is a fantastic product! It allowed us to quickly go from data living in several different systems to one consolidated data warehouse.
What do you dislike about the product?
The transformations beta product is inconsistent.
What problems is the product solving and how is that benefiting you?
The problem of connecting data from a number of different sources/systems.
Absolute No-Brainer
What do you like best about the product?
Fivetran as a tool is incredibly intuitive and, due to its speedy implementation time, almost immediately generates value for the business. Additionally, no real coding experience is required to use the tool, making it an excellent choice for analysts without an engineering background.
What do you dislike about the product?
Potentially, one could argue that Fivetran's pricing is steep - especially if you plan on syncing high-volume connectors like Google Search or Google Ads (at least those are the highest-volume connectors for us).
What problems is the product solving and how is that benefiting you?
Using Fivetran allows us to centralize data across our most essential source systems. The seamless integration with dbt additionally facilitates the planning and execution of transformation jobs overarching the whole data pipeline. The only thing currently missing is some Reverse ETL feature.
This product is a lifesaver!
What do you like best about the product?
Fivetran has enabled us to connect all our disparate SaaS data sources into Snowflake and combine them with our in-house data. It is fast, reliable, and they constantly keep up with changes so we do not have to. It has been a lifesaver in getting several sources of data together without worrying about writing our own event processor or other solution.
What do you dislike about the product?
Cannot say anything bad, we have not had an issue yet.
What problems is the product solving and how is that benefiting you?
We use several SaaS platforms, and have a lot of internal databases. Our customers want to see integrations of data between those sources and our data, and prior to Fivetran, our ways of doing this were very primative. Enter Fivetran, and now we have constant automated collection of our SaaS data, our relational data is being integrated into Snowflake as well, and we are finally able to provide our users with simple sets of data sources combining all of our platforms from 1 location.
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