dbt vs. HVR (discontinued)

The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.

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HVR is a real-time replication tool, if you want to centralize your database to cloud in order to provide the best services to your clients or end-users then HVR plays a vital role. multiple sources such as on-premises and cloud databases need to be combined or out together on cloud for creating a centralized warehouse then HVR is very much useful as a replication tool. HVR is a very robust tool.

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• dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
• dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
• dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
• dbt can be easily integrated with snowflake.

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• Data replication from source to target system
• Almost Realtime data refresh
• CDC solution

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• Field-level lineage (currently at table level)
• Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
• Adding python model support (in beta now)

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• Connectivity with more source such as salesforce
• Missing Enterprise manager

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dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.

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Independently Invited by TrustRadius

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HVR was cost-efficient to us compare to other tools also we had a demo with our data and found out that HVR's performance is much better when replicating data from SAP to Snowflake compare to any other tool. A huge volume of data can be handled very easily. Also, the connectivity with the number of sources to pull the data is very good and they are continuously adding more sources.

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• Simplified our BI layer for faster load times
• Increased the quality of data reaching our end users
• Makes complex transformations manageable

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Independently Invited by TrustRadius

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• Almost Real time data availability
• Makes Reporting easy for BI team
• Quick development saves human efforts

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info