“If you want a hands-off, fully managed service, Fivetran is your safest bet; Airbyte is great if you like open-source and want to build custom connectors yourself; and Databricks DLT makes sense if you’re already using their Lakehouse stack and want tight integration.”
“Pay special attention to any custom transformations or complex data types you're currently using with Fivetran, these are usually where migration challenges surface.”
“If the Fivetran pricing shift is a dealbreaker, Skyvia might be worth a look. It has built-in transformations, so you could skip some of the dbt overhead.”
“Snowflake + dbt + Fivetran is a powerful stack, but it has a lot of moving parts, and with Fivetran’s recent price increases, it’s getting pretty expensive. If you're still early-stage, you could also look at Skyvia, it’s simpler to get started with and more affordable for basic ETL into Snowflake.”
“It is cheaper than Fivetran and easier to set up without a ton of overhead. Might not cover 100% of your use cases, but good for getting quick wins while you sort the bigger picture.”
“NetSuite’s API permissions and roles can be a nightmare, even small misconfigs will break Fivetran’s sync. If the issues drag on, you might check Skyvia, too. It supports NetSuite and sometimes plays nicer with simpler setups.”
“I had evaluated fivetran before picking hevo - didn’t use it extensively but a couple of folk in my network shared frustrations around billing and support, which made me lean towards Hevo even more. no regrets so far.”
“The Fivetran part of it works fine. It does what it did with the NetSuite.com schema: it pulls all the tables and fields you tell it into your data warehouse.”
“Most of the pg extractors (including Fivetran’s) are using the wal-replication slots. You can even set your own connector up using something like airbyte/Meltano or even debezium (might be a lot of coming though)”
“Continue using Fivetran but supplement it with a secondary extraction process (perhaps using Airflow as you mentioned previously) for critical metrics. This creates redundancy and allows you to cross-validate the data.”
“Hope this piece helps: [https://www.datachannel.co/blogs/is-fivetrans-new-pricing-model-too-high-a-deep-dive](https://www.datachannel.co/blogs/is-fivetrans-new-pricing-model-too-high-a-deep-dive)”
“I'm seeing how many teams are getting hit hard by these Fivetran pricing changes. I’m working on a data integration product and trying to understand where data engineers are running into the most friction.”
“This makes it difficult to get a good estimate of the price per connector despite knowing the MARs. I would appreciate some insight into computing the price per connector based on the MARs.”
“To be fair to Fivetran the Facebook APIs are awful to work with, the data is often different to the UI or not available at all (or suddenly deprecated). I've mostly only worked with the Page and Video end-points but the hoops you have to jump through to often end up at dead ends is hugely frustrating.”
“If you don't get the response you want, you can present options to the client of 1) staying as-is with an example difference of the period you exported compared to the fivetran output and 2) additional engineering/operations cost to get full data yourself via API and see if they're okay with the difference.”
“I am fairly happy with what we have, but the Fivetran move to start charging for DBT transformations will mean a sudden bill of around $900 a month. FWIW the CEO is probably willing to pay this, but I don't think it is good value.”
“I often hear fivetran as an example is so expensive but when you take into consideration the maintenance and infra of open source or some self hosted custom solution you need to think long term, especially for what's arguably minimal business value of simply ingesting the data into your data platforms.”
“I've had to be very budget conscious and time efficient where I am, that means Fivetran first but if that's too expensive for a particular source then we try stitch. If all else fails or if it's a less common source then we go to dlt/dagster.”
“if thats your sources i would recommend Airbyte - its rather cheap (compared to Fivetran or Matillion) and is quite usability friendly (compared to meltano)”
“dlt + Dagster will rein things in a lot in terms of costs and developer experience. Here’s a video showing how I use them for a personal project, basically illustrating an example where you could be migrating from Fivetran/Airbyte or custom ETL: https://youtu.be/QOPy-h4wOl0”
“Fivetran is a great product, but their main problem as with many other tools is a pricing bug. Pricing by row or volume isn't linked to business benefit.”
“I heard Postman switched from Fivetran to Hevo, and it worked out great for them. They saved around 30-40 hours of developer time each month, and even their non-technical team members could set up data sources with Hevo's no-code interface.”