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Introduction to ScalarDB 3.16

Scalar, headquartered in Shinjuku, Tokyo, has announced the release of ScalarDB version 3.16, its latest Universal HTAP (Hybrid Transactional/Analytical Processing) engine. This version includes significant features such as a remote replication mechanism and support for popular data lakehouse products, empowering organizations to integrate various database systems efficiently while maintaining seamless transaction and analytical processing capabilities.

New Features and Enhancements

Remote Replication Mechanism

A standout feature in ScalarDB 3.16 is the introduction of the remote replication mechanism. This allows for the near-real-time replication of databases from a primary data center to a secondary location. In the event of a major disaster that takes down the primary data center, businesses can continue operations at the secondary site, greatly enhancing business continuity and system availability. The system is designed to work independently of the cloud or database providers, offering flexibility in configurations, allowing different cloud environments or databases on primary and secondary sites.

Support for Leading Data Lakehouse Products

ScalarDB 3.16 also adds support for well-known data lakehouse products, including Databricks and Snowflake. This integration broadens the scope for real-time decision-making and advanced analytics, as it enables users to operate across structured and semi-structured data from a variety of sources. Furthermore, it adds compatibility with IBM Db2, expanding ScalarDB's applicability into the finance sector and other enterprise core systems.

Enhanced Transaction Processing Performance

The new version also brings significant enhancements to transaction processing performance. By incorporating a mechanism that considers the processing characteristics of each database, ScalarDB can now push down transaction processing to the underlying databases. This reduces overhead and accelerates transaction processing, leading to better performance overall.

Read Committed Isolation Support

ScalarDB 3.16 introduces support for new isolation levels, including Read Committed. This addition allows users to choose optimal isolation levels based on their specific workloads, thereby improving transaction performance particularly in read-heavy scenarios.

Pay-As-You-Go Billing for ScalarDB Analytics

ScalarDB Analytics has transitioned from a BYOL (Bring Your Own License) model to support a pay-as-you-go billing structure in the AWS Marketplace. This enables organizations to pay based on actual CPU resource usage, facilitating more flexible budgeting and scaling while maximizing value from the solution.

Future Outlook

Looking ahead, Scalar aims to enhance its offerings by focusing on unified data asset management and further developing its catalog functionalities. The introduction of roles in security and advanced querying capabilities in SQL will support broader enterprise data governance and utilization, thereby generating greater value across various business domains.

About Scalar

Founded in 2017, Scalar is a global startup with bases in Tokyo and San Francisco, committed to reshaping the future of data management. The firm specializes in integrating multiple and heterogeneous databases through its Universal HTAP engine, ScalarDB, and developing solutions to address data integrity issues through its software, ScalarDL. More information can be found on their GitHub page and documentation site.