Have access to non-relational, scalable and high-performance platform with heightened durability that supports in-memory data management, persistence and advanced data analytics

DT Cloud Platform Redis

Supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps and geospatial indexes with radius queries. Redis' high availability and data durability are provided by replication and snapshotting features. It stores all the data in the RAM as key-value pairs and is used as an object caching solution. This approach provides performance that is much higher than the performance of relational DBMSs. 

Core Capabilities

In-memory data structures
In-memory Data Structures

Data structure server, with support for strings, hashes, lists, sets, sorted sets, streams, and more

Clustering and scalability
Clustering and Scalability

Horizontal scalability with hash-based sharding, scaling to millions of nodes with automatic re-partitioning when growing the cluster

High availability and durability
High Availability and Durability

Replication with automatic failover for both standalone and clustered deployments


Server-side scripting with Lua and server-side stored procedures with Redis Functions


A module API for building custom extensions to Redis in C, C++, and Rust.


Keeps the dataset in memory for fast access, but can also persist all writes to permanent storage to survive reboots and system failures

Use Cases

Real-time data store
Real-time Data Store

Redis versatile in-memory data structures enable building data infrastructure for real-time applications that require low latency and high-throughput

Caching & session storage
Caching & Session Storage

Redis' speed makes it ideal for caching database queries, complex computations, API calls, and session state

Streaming & messaging
Streaming & Messaging

The stream data type enables high-rate data ingestion, messaging, event sourcing, and notifications