YugabyteDB 2.4 brings new Spark to distributed SQL database

Open source distributed SQL database seller Yugabyte released a new stable model of its namesake YugabyteDB, supplying users with new protection, scalability and extensibility abilities.

Yugabyte’s database is appropriate with equally the Apache Cassandra and PostgreSQL open source database platforms and offers users with a distributed SQL system.

The seller, primarily based in Sunnyvale, Calif., maintains two diverse release branches, with even-numbered updates denoting stable releases that are appropriate for enterprise deployments, and odd-numbered releases viewed as to be improvement releases.

Relatively confusingly, the previous improvement release of YugabyteDB was model two.five, which was released in November 2020. The new YugabyteDB two.four update out Feb. 10 is essentially the latest stable release and advantages from further tests and balance from improvement attributes that initial appeared in the YugabyteDB two.3 improvement update that was released in September 2020.

Amongst Yugabyte’s users is Xignite, primarily based in San Mateo, Calif., a service provider of economic market facts providers.

Qin Yu, senior vice president of engineering and functions at Xignite, said the firm uses YugabyteDB as a procedure of file database.

Xignite uses YugabyteDB due to the fact the database has the adaptability to assistance many workloads, which includes true-time facts and essential facts use situations across Xignite’s merchandise strains, Yu said. He noted that Xignite migrated far more than 11 TB of facts into 4 YugabyteDB clusters with 21 nodes in complete, deployed in a multizone setup to meet its demands.

“YugabyteDB helped Xignite focus on rising our business instead of keeping a sophisticated caching and relational database architecture,” Yu said. “The capacity to scale and rebalance quite substantial facts sets without the need of downtime or efficiency bottlenecks is significant to our shoppers and the business.”

YugabyteDB two.four offers users with a live queries dashboard with visibility into database functions that can assistance to assess and strengthen question execution.

YugabyteDB helped Xignite focus on rising our business instead of keeping a sophisticated caching and relational database architecture.
Qin YuSenior vice president of engineering and functions, Xignite

YugabyteDB two.four boosts distributed SQL abilities

Yu said he sees a number of stable attributes in the YugabyteDB update as remaining beneficial for Xignite.

One particular of the crucial new attributes is increased encryption at relaxation abilities, which offers facts protection for stored facts. Yu noted that Xignite also uses Amazon RDS with encryption at relaxation for that deployment.

“We would like to do the exact same for facts stored in Yugabyte,” Yu said.

YugabyteDB two.four also integrates new abilities for facts question optimization, which includes supplying execution data for SQL queries. Yu noted that having those data could assistance Xignite to detect and improve inefficient queries.

Apache Spark 3. assistance in Yugabyte

Karthik Ranganathan, co-founder and CTO of Yugabyte, said YugabyteDB two.four is also noteworthy in that it offers total assistance for the Apache Spark 3. update.

Apache Spark 3. grew to become normally readily available in June 2020, supplying a substantial update to the well known open source SQL question motor. Amongst the new attributes in Spark 3. is an Adaptive Question Execution ability that can speed up facts queries for enhanced efficiency.

“Spark 3 is a huge advancement over Spark two, so we experienced to do a whole lot of get the job done in purchase to get Spark 3 to get the job done effectively with Yugabyte,” Ranganathan said.

Ranganathan said that amid the next major milestones for Yugabyte will be the general availability of the Yugabyte Cloud managed services.

“We are in our early access software for the cloud and we are planning to roll out our manufacturing-grade Yugabyte Cloud,” he said.