JSON is a high-performance NoSQL document store that allows devs to build modern apps. It provides native APIs to ingest, index, query, and run full-text search on JSON documents both on-prem and as a managed service in the cloud.
Purpose-built using in-memory data structures implemented in C to give performance, and scalability.
Dev-friendly
Built with performance in mind using in-memory data structures implemented in C, RediSearch supports fast indexing and ingestion.
Horizontally scalable
Scale out and partition indexes over several shards and nodes for greater speed and memory capacity.
Enterprise-grade
Enjoy continued operations in any scenario with five-nines availability and Active-Active failover.
“At HackerRank we use Redis Pub/Sub as a pipeline to help all developers practicing on HackerRank to see the results of their code submission in near real-time. We use JSON heavily in this pipeline to detect the status of all submissions and inform our users so they can better compete in our programming challenges. This has worked very well for us for several years without any issues at an extremely large scale to meet our need to process thousands of code submissions per minute.”
Swapnil Talekar Engineering Manager, HackerRank
Main capabilities
In-memory JSON store
Store and process scheme-free JSON in-memory, supporting millions of operations per second with sub-millisecond response times. Allows atomic operations on JSON sub-elements in-memory.
JSON allows you to quickly create indexes on JSON documents, and uses real-time indexing that allows you to instantly query documents that have been indexed. The indexes let you query your data at lightning speed, perform complex aggregations, and filter by properties, numeric ranges, and geographical distance.
JSON supports full-text indexing and stemming-based query expansion in multiple languages. It provides a rich query language that can perform text searches, as well as complex structured queries. Furthermore, you can enrich search experiences by implementing auto-complete suggestions using ‘fuzzy’ searches.
JSON’s Enterprise and Enterprise Cloud offering lets you effortlessly scale RedisJSON across an entire cluster, allowing you to grow your indexes to billions of documents on hundreds of servers.
Search, find, and store critical information on customers for a product/service, profile and history to match specific profiles and behaviors for better support.
Mobile app development
Build responsive mobile apps while keeping your data in sync across client apps.
Content management
Manage blogs and videos where each entity the content application tracks is stored as a single document and updated when the data model changes without having to update the schema.
Product catalogs
Manage and search thousands of products with different SKUs and attributes.
Usage patterns
JSON makes it possible to undertake non-disruptive modernization of RDBMSes and slow document stores by using the principles of caching. Customers deploy RedisJSON using different usage patterns across their data stack.
> Cache
Use JSON as a high-speed cache to store frequently accessed JSON data and manipulate sub-elements using atomic operations.
/ Query accelerator
Use JSON as an in-memory data fabric on top of one or more data stores to accelerate queries while offloading production systems.
[ Primary database
Distributed, in-memory JSON document database.
Related resources
post
Jul.07.2021
Indexing, Querying, and Full-Text Search of JSON Documents with Redis
Related Resource: Click to download RedisJSON module. RedisJSON and RediSearch are by far the most popular Redis modules in our cloud. (See Fig. 1) The docker images of…
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