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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

Redis Delivers RedisJSON 2.0, a Fast, Flexible Document Database to Create Dynamic Digital Experiences

Reimagined solution improves the performance of legacy databases as a query accelerator or front-end database, in addition to serving as a primary document database

Redis, the real-time data platform, today announced the release of RedisJSON 2.0, which will allow customers to more easily modernize existing applications and create entirely new digital experiences requiring real-time access and processing of JSON document files. Notably, this new version now comes with native indexing, querying, and full-text search capabilities, powered by RediSearch, reducing complexity for developers and all coming at the speed of Redis.

Despite their inflexibility and scaling issues, relational databases (RDBMS) still serve as a foundation for many popular applications. Even the recent growth of purpose-built document stores with dynamic schemas are limited in their ability to meet the performance requirements required by the rapidly changing business needs and market conditions of today’s digital economy. From rigid schemas to poor read and write performance, companies are less agile, limited in innovating, and challenged operationally.

RedisJSON has been designed to address these gaps by combining a JSON-standards in-memory document database with Redis Enterprise's 99.999% availability, Active-Active geo-distribution, attractive total cost of ownership, and flexible deployment options. New capabilities include:

  • Support for atomic sub-element updates. Uses JSON Data Interchange Format (ECMA 404) as a native data type and performs atomic operations on sub-elements in-memory to increase developer productivity and improve an application's overall response times.
  • Synchronous indexing. RediSearch indexes synchronously, meaning, once an index is created, every write or update operation can be immediately seen in the next query or search operation.
  • Familiar developer experience. Fully supported by the most popular Redis client libraries for languages (JavaScript, Python, Java, and C#) and platforms (Spring, ASP.NET, Node.js, and DJango). Additionally, the official developer GUI for Redis, RedisInsight, includes onboarding guides for users to get started with the new RedisJSON.
  • Designed for the real-time economy. With the performance of Redis, these capabilities are ideal for a wide range of real-time use cases. These range from storing and updating an entire retail product catalog; to being a central repository for shopper, merchant, and retail profiles required for fraud detection, matching riders/orders for transportation and delivery apps, and much more.

"We've reimagined RedisJSON, so companies no longer have to choose between rigid schemas of legacy relational databases and poor performing, disk-based document stores. RedisJSON now offers a powerful in-memory document store with native indexing, querying, and full-text search––all at the speed of Redis––to address all traditional content, catalog, and profile management use cases for a modern document database," said Yiftach Shoolman, Co-Founder and CTO at Redis.

"JSON is the language of the web. Organizations are demanding real-time performance of ingesting and querying JSON documents. This is where Redis expands its in-memory geo-replicated multi-model database to deliver RedisJSON, a fully managed document store. With native, in-memory hierarchical storage, each sub-element can be updated atomically and near instantly. In addition, the RediSearch integration for secondary indexes enables multilingual full-text search in milliseconds. With this release, many use cases across financial services, retail, and other industries can see benefits from a geo-distributed, highly available, real-time document store," said Sanjeev Mohan, Principal, SanjMo.

Join Redis Co-Founder and CEO Ofer Bengal, live today, March 15th at 9:00 AM GMT, for the kick-off of the free RedisDay virtual event series and the launch of RedisJSON 2.0. The RedisDay series features original, live presentations from Redis experts, customers, industry luminaries, in addition to product news and announcements. Two new, original programs are scheduled for Wednesday, March 23rd at 9:00 AM PT and Thursday, March 31st at 9:00 AM ET.

Availability

RedisJSON 2.0 is source available software, deployable on Redis Enterprise Cloud (AWS, Microsoft Azure, and Google Cloud), Redis Enterprise Software (across all supported virtual machine and Kubernetes deployment options).

Additional Resources

For additional details on RedisJSON 2.0 including performance benchmarking, read more on the Redis blog or get started with the new RedisJSON with this guide.

About Redis

Data is the lifeline of every business, and Redis helps organizations reimagine how fast they can process, analyze, make predictions, and take action on the data they generate. Redis provides a competitive edge to any business by delivering open source and enterprise-grade data platforms to power applications that drive real-time experiences at any scale. Developers rely on Redis to build performance, scalability, reliability, and security into their applications.

Born in the cloud-native era, Redis uniquely enables users to unify data across multi-cloud, hybrid and global applications to maximize business potential. Learn how Redis can give you this edge at redis.com.

RedisJSON now offers a powerful in-memory document store with native indexing, querying, and full-text search–all at the speed of Redis–to address all traditional content, catalog, and profile management use cases.

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