Fivetran Data Movement Platform
FivetranExternal reviews
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Very practical and easy tool to work with
What do you like best about the product?
The UI is clear and makes it easy to configure and schedule jobs that need to be run. Amazing support team to work with to get your questions answered. They have great documentation as well.
What do you dislike about the product?
There were a few issues we knew would happen ahead of purchasing Census. However, the census support team has been very helpful. It is not easy in Census to convert looker looks to an actual census job.
What problems is the product solving and how is that benefiting you?
Census is allowing us to pipe information from other sources into Salesforce. This has allowed us as a business to make SFDC more reliable and be one place to gather information you need.
The data ingestion that you neeed
What do you like best about the product?
I really like how easily we can set up a destination and connection in Fivetran. Fivetran also supports various connection types that we can use. Moreover, their support team is helpful and responsive.
What do you dislike about the product?
The thing that I dislike is the price that we need to pay. The price is relatively high. Another thing that can be improved as well for my current use case is by improving the data type support in PostgreSQL database.
What problems is the product solving and how is that benefiting you?
The main problem that Fivetran is solving is the complexity and the time required to build our own data ingestion pipelines. Especially when the source was varies. Fivetran solves those issues and make it easy to do data ingestion.
Simple, Quick, and Efficient
What do you like best about the product?
It is very simple, quick, and efficient to set up new sources. It provides great reporting on active rows and is easy to select and de-select tables to include. It has handled schema changes quite well.
I have not had to spend time doing "data engineering" for EL since we got Fivetran.
I have not had to spend time doing "data engineering" for EL since we got Fivetran.
What do you dislike about the product?
Customization options are limited. Like forcing us into soft-deletes rather than allowing an option for hard-deletes.
Single tables can get shockingly expensive. Where 95% of our cost for a database is coming from our messages table.
DBT support is not available for SQL Server.
Single tables can get shockingly expensive. Where 95% of our cost for a database is coming from our messages table.
DBT support is not available for SQL Server.
What problems is the product solving and how is that benefiting you?
Burning too much time doing data engineering without a qualified resource. Not having pipelines fail due to schema changes or dropped or added columns. Having new columns added immediately is huge and saves so much time. Not having to manually create columns and tables in SQL is a blessing.
It works very well once setup correctly.
What do you like best about the product?
Fivetran is very easy to use and it works without much of a hassle.
What do you dislike about the product?
It doesnt have enough connectors and adding more connectors is not as easy.
What problems is the product solving and how is that benefiting you?
I am using Fivetran to connect our excel data in sharepoint with Snowflake and it worked quite well.
Reliable Extraction tool with a good number of integrations
What do you like best about the product?
Connecting data sources is easy and reliable once when the connection is made. There are hardly any syncs that fail.
What do you dislike about the product?
Less number of integrations on the engineering tooling space. Like say bitbucket, clickup etc.
What problems is the product solving and how is that benefiting you?
Fivetran helps us build integrations with our platform in minutes instead of weeks.
Intuitive, simple tool for DIY data pipeline
What do you like best about the product?
Census allowed me, a fairly non-technical marketing exec, to create the report I needed within an hour using the tools I was already familiar with and basic SQL.
The UI was fairly intuitive and the help center was actually helpful solving the issues I had.
Additionally, our analytics team also gets a ton of value from Census creating new data pipelines easily.
The UI was fairly intuitive and the help center was actually helpful solving the issues I had.
Additionally, our analytics team also gets a ton of value from Census creating new data pipelines easily.
What do you dislike about the product?
The pricing model is confusing -- even after review, we don't understand exactly what we are paying for. The biggest obstacle we've actually had is figuring out if new reports will add to our bill. Despite this, we still got an unforeseen price increase and had to go back and remove fields.
What problems is the product solving and how is that benefiting you?
We use census to connect a number of platforms without having a dedicated data engineering team. In particular, we use the connection between Pipedrive, BigQuery and Google Sheets to develop most of our standardized reporting.
Easy to use and manage
What do you like best about the product?
As someone who considers themselves SQL literate, I found the tool very easy to use. I manage out GTM tech stack and Census has been critical in us leveraging product data to optimize our GTM motion.
The team itself is also amazing. They're always willing to help, brainstorm ideas, and share best practices.
The team itself is also amazing. They're always willing to help, brainstorm ideas, and share best practices.
What do you dislike about the product?
Nothing really to mention at the moment. The product itself is always growing and anytime I've submitted feedback it's been reviewed and implemented quickly.
What problems is the product solving and how is that benefiting you?
We are a PLG company and on the revenue side, we are most successful when we can leverage product data.
Census helps us with two critical use cases:
1) moving critical product funnel data to other GTM systems to enable Sales/Marketing tactics and reporting and
2) moving usage data to our consumption billing tools, helping to automate our billing process.
Census helps us with two critical use cases:
1) moving critical product funnel data to other GTM systems to enable Sales/Marketing tactics and reporting and
2) moving usage data to our consumption billing tools, helping to automate our billing process.
Easy to use for nontechnical people
What do you like best about the product?
Has a lot of integrated sources and destinations
What do you dislike about the product?
The connection to apple store is not the best, but I think it is from apple side.
What problems is the product solving and how is that benefiting you?
Connect our marketing and sales data to our DWH.
Decent tool that will save your analytic's department time
What do you like best about the product?
Easy to start, you don't need to talk to any sales reps, just create your account and start using this service. Free trial for each new connector – cool feature that gives you enough time to understand whatever everything works as you planned or not.
What do you dislike about the product?
It's a little bit pricey. The most disturbing thing is that you can't optimise data usage for some of the connectors, it's just impossible to 'unclick' it in the interface, so the data will be synced anyway which will increase your usage and your overall monthly price.
What problems is the product solving and how is that benefiting you?
It helps to set up ETL quickly without coding, just by clicking. It's definitely a huge time saver for me.
Most Comprehensive ELT tool
What do you like best about the product?
The simplicity of adding connectors and start schedules is fantastic. The pricing model is easier to understand and reasonable. Dashboards to monitor MAR usage across connectors and accounts help us keep the bills in check. The in-built SQL editor is my most used component.
What do you dislike about the product?
The built-in SQL editor is not the best (small window to code), perhaps because you are deprecating it in 2023.
What problems is the product solving and how is that benefiting you?
Integrating data from multiple sources helps us to have a consolidated view.
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