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Easy to use system. Lot of issues with our Sage Intacct connection... but great customer service
What do you like best about the product?
Set up is very intuitive and easy to follow - I am able to add connections very easily on my own. The site itself is also very straightforward to use.
What do you dislike about the product?
Our Sage Intacct connection has been very unstable... I switched to Fivetran after a bad experience with another company and have had just as many issues since switching. However, response time was great and their tech team has been great at keeping me in the loop.
What problems is the product solving and how is that benefiting you?
Data Integration
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Excellent pricing model, good overall functionality
What do you like best about the product?
Fivetran's pricing model allows us to really justify our entire reporting stack and data pipeline, because rather than paying per connector, we get to pay per monthly active row.
What do you dislike about the product?
At this point, I have not run into any dislikes with the platform; nothing has functioned out of the ordinary.
What problems is the product solving and how is that benefiting you?
Fivetran has solved our reporting pipeline requirements; as a digital marketing agency, we have a very broad tech stack and report from several different software.
Excellent tool for fast, plug-and-go ELT
What do you like best about the product?
Fivetran makes it extremely easy to set up a connector and get your data flowing to a destination right away. Out of the box, they have a huge selection of connectors to common data sources. And once connected, we've experienced minimal to no fuss with our connectors syncing the data on a consistent basis. Fivetran allows our small analytics team to focus our time in other areas instead of fussing with manual script solutions to try and access data from multiple sources.
What do you dislike about the product?
We were a bit surprised with the monthly cost based on the size of our company and data needs. It ended up being significantly higher than we anticipated. However, in the end, we still went with Fivetran due to how easy they've made our entire ELT process.
What problems is the product solving and how is that benefiting you?
Getting our data from multiple different sources into our data warehouse so that we can do integrated, full-story analytics on our clientele. Connecting to the data sources and piping the data over on a regular, timely basis in a reliable, scalable manner.
Fivetran allow us to extract information from almost 20 data source with a few clicks
What do you like best about the product?
Dont need to code, just with a few clicks you can setup everyting
What do you dislike about the product?
I think can add or develop more adapters
What problems is the product solving and how is that benefiting you?
To have a single datawarehouse to connect our BI tools
Fivetran is a great resource for ETL and has helped me organise my data!
What do you like best about the product?
I like that while Fivetran offers plenty of pre-built connectors, I can always use their webhooks to make my own. The service they offer directly to me through my account manager is incredibly supportive.
What do you dislike about the product?
There could be more work on the transformations that Fivetran offers through DBT, as they're great but a little challenging to get started with! Other than that, there's little to find to dislike.
What problems is the product solving and how is that benefiting you?
Fivetran is helping me solve my ETL problems. Getting data into the company in an automated and smooth way while retaining control over how that data is processed and transformed is really easy through Fivetran.
Best in Class at Competitive Price
What do you like best about the product?
Fivetran is a best in class product, that offers services to our smaller use company at a reduced price rate.
What do you dislike about the product?
Like any other pay per usage software, lower usage levels result in longer support times.
What problems is the product solving and how is that benefiting you?
Fivetran takes care of the extracting and loading in the modern data stack. It allows us to get the data from disparate systems in one place for analysis.
Quick to Set up - very well integrated
What do you like best about the product?
Speedy for the data team to set up and connects perfectly with snowflake. We have been able to move into BI tooling quickly as a result of building this layer.
What do you dislike about the product?
No complaints of the software at this time and the integrations and onboarding team have been excellent.
What problems is the product solving and how is that benefiting you?
Connecting and data with snowflake and handling ELT and DBT.
The leading low-code data ingestion solution
What do you like best about the product?
Fivetran offers a truly competitive solution for data integration, in particular when you're looking to connect to a source application and ingest that data into a Data Warehouse or Data Lake and to do that with minimal development/configuration/customization. The best features are:
- The number of application connectors. There are hundreds of connectors to both SaaS/Web based applications such as Salesforce, Coupa, JIRA, etc as well as database and on-premise, of particular interest to us was SAP
- The ease of configuration/setup to integrate to a source connection and the time taken to ingest and synch to a destination connection
- The Data Change Capture (CDC) feature for many of the connectors (not all connectors offer CDC) is very slick and will easily manage INSERTS, UPDATES, DELETES in your data and track the date/time of those changes
- The ability to connect to SAP and manage CDC through the database logs. This provides a minimal intrusion feature that is not reliant on many other SAP connectors/integrations which go through the API layer (RFC)
- The SAP integration can ingest many of the complicated SAP objects such as long-text data/tables involving structures like pool and cluster
- The easy UI that allows you to change basic configurations such as frequency of update, tables/fields required to ingest and usage/billing
- Technical Support is excellent and responsive, although you probably have to be on the Business Critical support to realize this
- Integration with dbt and an emerging "Marketplace" of pre-built models and transformations
- The number of application connectors. There are hundreds of connectors to both SaaS/Web based applications such as Salesforce, Coupa, JIRA, etc as well as database and on-premise, of particular interest to us was SAP
- The ease of configuration/setup to integrate to a source connection and the time taken to ingest and synch to a destination connection
- The Data Change Capture (CDC) feature for many of the connectors (not all connectors offer CDC) is very slick and will easily manage INSERTS, UPDATES, DELETES in your data and track the date/time of those changes
- The ability to connect to SAP and manage CDC through the database logs. This provides a minimal intrusion feature that is not reliant on many other SAP connectors/integrations which go through the API layer (RFC)
- The SAP integration can ingest many of the complicated SAP objects such as long-text data/tables involving structures like pool and cluster
- The easy UI that allows you to change basic configurations such as frequency of update, tables/fields required to ingest and usage/billing
- Technical Support is excellent and responsive, although you probably have to be on the Business Critical support to realize this
- Integration with dbt and an emerging "Marketplace" of pre-built models and transformations
What do you dislike about the product?
- The support for dbt does not currently include Azure Synapse, which is what we are using for our Data Platform
- The frequency of refresh configuration is good, but it would also be good if you could have a "Date/Time" of refresh rather than a synch period such as "Every 1 hour, every 24 hours, etc"
- Would be nice if Fivetran could support the ingestion of SAP structure fields/tables
- Would be great if Fivetran could ingest SAP BW data
- The frequency of refresh configuration is good, but it would also be good if you could have a "Date/Time" of refresh rather than a synch period such as "Every 1 hour, every 24 hours, etc"
- Would be nice if Fivetran could support the ingestion of SAP structure fields/tables
- Would be great if Fivetran could ingest SAP BW data
What problems is the product solving and how is that benefiting you?
- We can now ingest data from some of our enterprise applications where it has been extremely difficult or near impossible previously. Many of the previous "integrations" existed of basic text/csv exports from some of our applications or emailed reports. This process was very manual, and now the data just appears in our Data Lake and, all the changes are handled beautifully.
- In SAP, some tables are very difficult sometimes, impossible to ingest without major development/integration efforts, such as ingesting pool/cluster tables. The method we have previously used in going via the SAP API (RFC) has also been much slower, and managing the data changes has had to be managed programmatically
- We will be able to ingest data from some applications at a higher frequency than daily/nightly, which helps with the number of use cases we often have to deal with around manufacturing processes
- In SAP, some tables are very difficult sometimes, impossible to ingest without major development/integration efforts, such as ingesting pool/cluster tables. The method we have previously used in going via the SAP API (RFC) has also been much slower, and managing the data changes has had to be managed programmatically
- We will be able to ingest data from some applications at a higher frequency than daily/nightly, which helps with the number of use cases we often have to deal with around manufacturing processes
Easy set up, excelent customer service and helps us save a lot of time in our analysis.
What do you like best about the product?
The easiness to set up connector with different platforms and the accuracy of the data. If there was a problem, the customer service people tend to help out right away.
What do you dislike about the product?
Would be good to get a projected MAR usage and cost based on the changes you make in the in-between months. As currently, it only shows i'm projectd to spend $300 by in fact it would be way under $150.
What problems is the product solving and how is that benefiting you?
Building custom tables of daily KPIs from different platforms.
As a consultancy, we save a lot of time gathering data from different platforms and analysing with Fivetran compared to the traditional way.
As a consultancy, we save a lot of time gathering data from different platforms and analysing with Fivetran compared to the traditional way.
Great bootstrapping option for the Modern Data Warehouse, but still some way to go
What do you like best about the product?
As the title suggests it's a great option for bootstrapping a brand-new data department where Data Engineers are expensive or difficult to hire. It works well with other lean-team modern data warehouse-type technologies such as Snowflake and DBT. I got 850 Shopify tables and a few other AD sources setup really quickly
What do you dislike about the product?
Whilst Fivetran runs interchangeably across data warehouses,
1) There lack support for low-latency refresh which means if you need data in your apps or dashboards within 5-10 minutes you'll need to build your own custom pipeline
2) APIs are interpreted and landed nicely for you, but this also means there will be a huge switching cost once you build your pipeline on top of the Fivetran loaders.
3) More complicated or large connectors just don't live up to the low-fuss no-code philosophy. There isn't enough architectural knowledge on the Fivetran team to help deploy these connectors successfully.
4) Their logging could be better, troubleshooting really complicated issues like wrong writes has been a non-starter since no write logs take place we simply can't tell how a wrong write ended up there
5) Primary Tables work great (tables with updated timestamps), but not everything syncs and we often have missing records on secondary tables - these are REALLY hard to verify (you only find out when the business points it out)
Some Examples of 3:
1) E.g. We've tried to set up a NetSuite connector for over 6 months, the lack of an ERD or data-dictionary map just makes it really tough to get it going
2) Google/Facebook Ads ==> Some connectors don't really drop data as expected - for web marketing you end up receiving jinja variables rather than the actual attribute {{ UTM }}, other tools such as Supermetrics tend to do better in imputing these for the end user.
1) There lack support for low-latency refresh which means if you need data in your apps or dashboards within 5-10 minutes you'll need to build your own custom pipeline
2) APIs are interpreted and landed nicely for you, but this also means there will be a huge switching cost once you build your pipeline on top of the Fivetran loaders.
3) More complicated or large connectors just don't live up to the low-fuss no-code philosophy. There isn't enough architectural knowledge on the Fivetran team to help deploy these connectors successfully.
4) Their logging could be better, troubleshooting really complicated issues like wrong writes has been a non-starter since no write logs take place we simply can't tell how a wrong write ended up there
5) Primary Tables work great (tables with updated timestamps), but not everything syncs and we often have missing records on secondary tables - these are REALLY hard to verify (you only find out when the business points it out)
Some Examples of 3:
1) E.g. We've tried to set up a NetSuite connector for over 6 months, the lack of an ERD or data-dictionary map just makes it really tough to get it going
2) Google/Facebook Ads ==> Some connectors don't really drop data as expected - for web marketing you end up receiving jinja variables rather than the actual attribute {{ UTM }}, other tools such as Supermetrics tend to do better in imputing these for the end user.
What problems is the product solving and how is that benefiting you?
Bootstrapping - As the person leading up a newly formed team, there was literally no way to build a Data Warehouse within 6 months without one of these low-code points and click connectors. I had a look at Stitch vs. Fivetran and decided to go with Fivetran even though Stitch had more connectors because Fivetran had developed DBT packages. Even though I no longer use them (the packages), they were a huge timesaver when I first started out.
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