Datometry Adds Support for Azure Databricks
Every once in a while, a database technology emerges that electrifies its customers. Databricks is the latest to achieve this status. Hardly any other system in recent memory has attracted this much attention.
What started as a platform for data engineers has grown into a complete data solution. In the past years, Databricks has managed to capture mindshare across the entire enterprise. It is now considered a full-cycle data analytics platform.
At Datometry, we have a unique vantage point on the data warehousing landscape. We agree: with the introduction of SQL, Databricks has matured into a competitive platform. In light of these developments, it made perfect sense for Datometry to add Databricks as a destination. Therefore, we’re proud to announce support for Azure Databricks in Q1 2023 to our customers.
Move from legacy to future —fast
Datometry Hyper-Q is software that sits between the application and the database. Using Hyper-Q, applications written for one database can run on any other. Hyper-Q translates data, statements, and API calls in real-time. This abstraction lets enterprises migrate between databases at a record pace.
For example, an application written for Teradata can now run on a cloud data warehouse. No changes to SQL or APIs are needed. Better yet, the move is completely seamless for business users. So seamless, in fact, they are usually unaware of the change.
With Datometry, enterprises save on average $35M on a database migration on their 3-year total-cost-of-ownership (TCO). As always, mileage may vary. In fact, for large systems, the savings are considerably higher, often in the nine figures.
Azure Databricks eats the legacy data warehouse
We’re quite impressed with the break-neck speed at which Databricks innovates. By now, Databricks has matured into a fully-fledged data warehouse. It has clearly outgrown its initial application area as an ETL system. Instead, it is rapidly turning into an analytics and BI powerhouse.
With Databricks SQL, enterprises now get the last missing puzzle piece. Besides being a programmable data engineering platform, Databricks can now support analytic queries too. For practitioners, this means performing a wide spectrum of tasks with one single tool.
What sets Azure Databricks apart from others in this space? The integration of open data formats means users no longer need to go outside of their analytics platform when integrating new data sources. At the same time, its lake-house architecture provides the full data warehouse experience. And finally, its attractive pricing structure makes it a highly competitive offering.
How do you get started?
For most enterprises, leaving their legacy vendor in favor of a cloud database is a top priority in 2023. If you are looking to move from Exadata or Teradata to Azure, Azure Databricks should be one of the top contenders. The same holds if you have moved to Azure but are still using a legacy system like Vantage.
With Datometry, customers skirt the enormous tax of conventional migrations. Instead, they accelerate their move to Azure. In the process, they liberate the business from years, if not decades, of vendor lock-in.
To get started, contact your Microsoft Data and AI seller or reach out to firstname.lastname@example.org.