To anyone who uses the product, I say monitor. You have a dashboard to monitor your MAR, which is a row-level metric Fivetran uses to gauge how much you are consuming. If you can monitor your MAR closely, you can get a very good understanding of how much data you're moving, and it will allow you to adjust the cadences you might need to get a better bang for your buck. Watch your numbers and try to plug in as many data sources as you need because that will help you with pricing. I rate Fivetran a seven or a seven-point five out of ten. It's solid and offers a very simple UI and way to get set up. It might fall short for people who want more advanced use cases or people who have knowledge and tools that they can integrate, and that's where things get a bit more technical. But I feel the leap from just getting started with it to getting very technical with it is very large. There's no middle ground.
Senior Data Engineer at a photography company with 11-50 employees
Real User
Top 5
2023-07-17T20:48:24Z
Jul 17, 2023
I am using the latest version of Fivetran. Fivetran is easy to set up. It took me one or two hours to set up my flow, and then I forgot about it. So for me, it's perfect because it doesn't take a lot of time. It's not like some other solutions where you need two weeks of engineering to get them to work. I would advise users to try Fivetran before they commit to it. When I compare Fivetran with Airbyte, I like Airbyte better than Fivetran. Overall, I rate Fivetran an eight out of ten.
Associate Data Engineer at a outsourcing company with 201-500 employees
MSP
Top 5
2023-02-20T12:12:11Z
Feb 20, 2023
I rate Fivetran eight out of 10. I would recommend Fivetran depending on the volume of data. If you only need to migrate a few gigabytes, it might be too costly for you. It's better to go with other tools in those cases. If you need to work with large volumes of data, go with HVR or Fivetran. It's easy to set up, but getting a trial version is difficult. You need to talk to Fivetran support for a demo. There isn't a free version on their website that you can install. If you contact Fivetran or a Snowflake partner, you can get a two-week trial.
Before choosing the solution, be sure to do your research about the cost. Just like with any other SaaS tool, your costs can explode. Do a deep dive into the pricing model and speak with support about it. Determine the cost of your operation, both per record and generally speaking. If you have plans to scale your business ten times, then you will have ten times the data and that will affect your budget. If you are a data-driven organization, then you might end up with a hundred times the data. Decide if the cost will stay efficient or if it will cause serious budget issues. It is vital to stay compliant and remain cost efficient. Another important factor is being able to trust your partner. You want a reliable and stable partner who offers you good support. The solution is shoot and forget. We set up integrations and the solution does all the heavy lifting. We pay for the service and everyone is happy. I rate the solution a nine out of ten.
Sr. Director of BI and Analytics at a healthcare company with 501-1,000 employees
Real User
Top 20
2022-11-29T20:31:01Z
Nov 29, 2022
My advice is to be very clear about how many rows or the volume of data because that is the main driver of the cost. Then, be wary of the contract terms if it has an escalator per year. Also, obviously just catalog all the different sources and then, if there are sources that aren't available, see if they're on the roadmap or if they have the capability of doing custom connectors. If I'm comparing it to other solutions in the market, I'd give this solution an eight out of ten. I think it does a very good job of being able to quickly stand up and connect to sources. It's even possible from a startup perspective. If you only have one person, you can connect three, four, five, or ten different systems and be up and running in a very short timeframe without having to do custom work. The stability is good, the pricing is okay, and the service is okay, and I think there is significant value in the product. There are more competitors coming about that might offer more customization, but I think that out of the box, Fivetran is probably the easiest to use.
Fivetran is very easy to set up and get going, so there's no real need to put it off because of technical requirements or it not being the right time. My first piece of advice is: the faster that you can get it implemented, the better. My second piece of advice is: Fivetran is going to sync raw data to your warehouse, so there is going to be additional work that you have to do to model your data to make it useful for reporting, dashboarding, or model building. Just because Fivetran is loading thinking data to your warehouse does not mean that your data work is done. It is almost just the beginning of what you need to do. Once data lands in your warehouse, you are going to have to do some modeling on top of it to make it useful.
Fivetran is a data integration and migration solution that centralizes data from various sources into a data warehouse (such as Snowflake or BigQuery) for analytics. Its most valuable features include replication and managed pipelines, integration with DBT for data transformation, and many source connections.
Fivetran is easy to use, with fast data migration and an intuitive portal for easy setup and troubleshooting. It has helped organizations integrate and manage data, saving time and...
To anyone who uses the product, I say monitor. You have a dashboard to monitor your MAR, which is a row-level metric Fivetran uses to gauge how much you are consuming. If you can monitor your MAR closely, you can get a very good understanding of how much data you're moving, and it will allow you to adjust the cadences you might need to get a better bang for your buck. Watch your numbers and try to plug in as many data sources as you need because that will help you with pricing. I rate Fivetran a seven or a seven-point five out of ten. It's solid and offers a very simple UI and way to get set up. It might fall short for people who want more advanced use cases or people who have knowledge and tools that they can integrate, and that's where things get a bit more technical. But I feel the leap from just getting started with it to getting very technical with it is very large. There's no middle ground.
It's a good integration tool. It is easy to use. Overall, I rate the solution a nine out of ten.
I rate the solution a seven out of ten.
I am using the latest version of Fivetran. Fivetran is easy to set up. It took me one or two hours to set up my flow, and then I forgot about it. So for me, it's perfect because it doesn't take a lot of time. It's not like some other solutions where you need two weeks of engineering to get them to work. I would advise users to try Fivetran before they commit to it. When I compare Fivetran with Airbyte, I like Airbyte better than Fivetran. Overall, I rate Fivetran an eight out of ten.
I rate the overall solution a seven out of ten.
I rate Fivetran eight out of 10. I would recommend Fivetran depending on the volume of data. If you only need to migrate a few gigabytes, it might be too costly for you. It's better to go with other tools in those cases. If you need to work with large volumes of data, go with HVR or Fivetran. It's easy to set up, but getting a trial version is difficult. You need to talk to Fivetran support for a demo. There isn't a free version on their website that you can install. If you contact Fivetran or a Snowflake partner, you can get a two-week trial.
Before choosing the solution, be sure to do your research about the cost. Just like with any other SaaS tool, your costs can explode. Do a deep dive into the pricing model and speak with support about it. Determine the cost of your operation, both per record and generally speaking. If you have plans to scale your business ten times, then you will have ten times the data and that will affect your budget. If you are a data-driven organization, then you might end up with a hundred times the data. Decide if the cost will stay efficient or if it will cause serious budget issues. It is vital to stay compliant and remain cost efficient. Another important factor is being able to trust your partner. You want a reliable and stable partner who offers you good support. The solution is shoot and forget. We set up integrations and the solution does all the heavy lifting. We pay for the service and everyone is happy. I rate the solution a nine out of ten.
My advice is to be very clear about how many rows or the volume of data because that is the main driver of the cost. Then, be wary of the contract terms if it has an escalator per year. Also, obviously just catalog all the different sources and then, if there are sources that aren't available, see if they're on the roadmap or if they have the capability of doing custom connectors. If I'm comparing it to other solutions in the market, I'd give this solution an eight out of ten. I think it does a very good job of being able to quickly stand up and connect to sources. It's even possible from a startup perspective. If you only have one person, you can connect three, four, five, or ten different systems and be up and running in a very short timeframe without having to do custom work. The stability is good, the pricing is okay, and the service is okay, and I think there is significant value in the product. There are more competitors coming about that might offer more customization, but I think that out of the box, Fivetran is probably the easiest to use.
Fivetran is very easy to set up and get going, so there's no real need to put it off because of technical requirements or it not being the right time. My first piece of advice is: the faster that you can get it implemented, the better. My second piece of advice is: Fivetran is going to sync raw data to your warehouse, so there is going to be additional work that you have to do to model your data to make it useful for reporting, dashboarding, or model building. Just because Fivetran is loading thinking data to your warehouse does not mean that your data work is done. It is almost just the beginning of what you need to do. Once data lands in your warehouse, you are going to have to do some modeling on top of it to make it useful.