The biggest advantage is that now users can model NoSQL databases as they do with relational databases, and can even convert from RDBMS to NoSQL.Įrwin Data Modeler expanded its existing relational database connectivity to Databricks with traditional modeling support. With this release we have added a significant number of NoSQL databases and we will continue this journey in upcoming releases. The last release erwin Data Modeler added support for: Couchbase 6.0, Cassandra, MongoDB, JSON and AVRO. In addition to our existing relational, cloud, big data DBMS and NoSQL targets, this release adds full support for six new NoSQL databases and one upgrade: “So, this release of erwin Data Modeler aligns with the release of erwin Data Intelligence 12.0,” he concluded.īesides being an award-winning data modeling tool, erwin Data Modeler is proving it can still innovate by adding even more NoSQL database connectivity support options and a DevOps feature that makes this trusted 30-year tool the new kid on the block again. “Because erwin Data Modeler and erwin Data Intelligence are closely aligned and provide complementary services, it just made sense to align the release naming convention,” said Prashant Parikh, vice president, Development Engineering, R&D at Quest Software. But in 2022, the release naming convention changed from following the standard practice using the current year and number of releases to R12. If you’re a long-time erwin ® Data Modeler by Quest ® customer, you might be asking yourself, “What happened to the release naming convention of erwin Data Modeler?” In 2021 erwin Data Modeler released 2021R1.
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