ScalarDB 3.17: A Game-Changer for Database Management and Integration

Launch of ScalarDB 3.17

Scalar Corporation, based in Shinjuku, Tokyo, has announced the launch of ScalarDB 3.17, the latest version of its Universal HTAP engine. This update innovatively allows seamless integration of existing databases without requiring schema modifications. By addressing crucial issues of data integration and management, ScalarDB is set to transform how businesses handle their database systems.

New Features and Improvements

Non-Intrusive Schema Modification

One of the standout features of ScalarDB 3.17 is its capability to manage application data and transaction metadata separately. Traditionally, updating databases involved considerable adjustments, necessitating schema changes that complicated transitions to modern systems. ScalarDB now enables organizations to incorporate the latest database technology while preserving existing systems, allowing for a smoother migration to ScalarDB-backed applications. This method greatly reduces the risk and cost associated with database modernization, making it easier for businesses to evolve and adapt.

Expanded Database Support

In another leap forward, ScalarDB 3.17 adds support for NewSQL products such as TiDB and AlloyDB, along with compatibility with major cloud object storage options like Amazon S3, Azure Blob Storage, and Google Cloud Storage. This expansion allows for consistent data management across heterogeneous databases and cloud environments, effectively simplifying operational complexities for enterprises. With this release, ScalarDB supports a total of 25 different data sources, including relational and NoSQL databases, providing flexibility and reducing vendor dependency.

Enhanced Deployment Options

ScalarDB was primarily designed for deployment within leading cloud environments, but version 3.17 now officially supports Red Hat OpenShift. This advancement facilitates its use in on-premise settings, meeting strict security requirements while also being compatible with cloud-native infrastructures. Businesses can now create hybrid cloud architectures that align perfectly with their data governance needs.

Additional Features

The update also enhances user experience with new functionalities:

- Role-based Access Control (RBAC): This new feature simplifies access management across multiple databases, allowing for centralized control of role definitions. This results in improved governance and reduced operational costs.
- Network Latency Reduction: By introducing functionality to batch multiple operations together and allowing for 'piggybacking' on transaction commands, network communications are notably decreased. This significantly boosts performance, especially in complex transaction scenarios.
- Aggregation in SQL: ScalarDB 3.17 introduces support for aggregation operations, minimizing client-side processing load and enhancing application development workflows.

Insights from Scalar’s CTO

Koji Yamada, CTO of Scalar Corporation, emphasized the importance of this version update, stating that ScalarDB 3.17 reflects their continuous commitment to achieving database-independent transaction management. He highlighted how this novel separation of transaction metadata resolves previous constraints linked to legacy architectures, making it imperative for organizations aiming to maximize the value of their existing databases.

Future Goals

Looking ahead, Scalar Corporation plans to introduce advanced catalog functionalities, native secondary indexes, and enhanced query capabilities tailored for more diverse use cases. The aim is to bolster data governance and utilization throughout organizations, thereby fostering increased value creation across various sectors.

About ScalarDB

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About Scalar Corporation

Founded in 2017 with a mission to innovate the future of data management, Scalar Corporation operates out of Tokyo and San Francisco. The company specializes in developing the Universal HTAP engine, ScalarDB, which integrates various databases for transaction processing and analytical queries, alongside data integrity solutions through their software ScalarDL.

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