Serve your agents fresh data at Redis speed.
Redis Data Integration (RDI) enables you to build real-time apps on Redis, drawing on continuously synced data from your databases and data warehouses.
Get your data into Redis fast so your apps and agents act on what's current. Load hundreds of gigabytes on initial sync, then stream every source change in near real-time. No nightly batch updates, no stale reads.
Quickly and easily transform your source data into native Redis data structures optimized for fast read access. Simply define your transformation logic declaratively in YAML, and RDI validates the config before deploy.
RDI enables you to seamlessly use Redis to serve data from other database or data warehouse technologies. Get lower latency at scale with Redis, without overloading or scaling your source database. Your system-of-record and serving layer, decoupled—all on continuously synced data.
“Prioritizing our customers’ needs is paramount, and integrating RDI has been instrumental. By leveraging Redis, we have achieved rapid data retrieval, improved performance, elevated user experience and enhanced stability for over 10 million daily users.
“We don’t want any operational headache between the systems. It should all be reliable and work flawlessly; that’s what we’re counting on. So far, Redis is giving us the tools and peace of mind we were looking for so that we can spend more time focusing on our customers."
Connect to nearly any source database
Ingest from Oracle, PostgreSQL, MySQL, MariaDB, MongoDB, SQL Server, Spanner, AlloyDB, Aurora, Neon, Supabase — plus Snowflake (preview) for warehouse sources.
Ingest without code
Identify, transform, and ingest data into Redis using declarative YAML. Validate pipelines and check CDC readiness on your source before you deploy.
Simple data pipeline management
Create, validate, deploy, and visualize data pipelines seamlessly from within Redis Insight or the Redis Cloud console.
Integrate data reliably
Integrate confidently with RDI’s high-availability, self-healing, and at-least-once delivery guarantee.
Secure data movement
On Redis Cloud, AWS PrivateLink keeps source traffic on private networks and AWS Secrets Manager keeps credentials out of the config file.
Work with your favorite tools
RDI supports popular ops tools, including RDI CLI and Grafana dashboard with metrics via Prometheus exporter.
Meet with a Redis expert and start using Redis Cloud today.
Redis Data Integration (RDI) is a Redis-native pipeline purpose-built to move data from your databases and data warehouses into Redis in near real-time. It captures changes at the source, transforms them declaratively into native Redis data structures, and keeps Redis continuously in sync. That way, your real-time apps and agents read fresh data at Redis speed.
RDI uses change data capture (CDC) to detect every insert, update, and delete on your source database the moment it happens. An initial sync first hydrates Redis with your existing dataset; from then on, each change is transformed via declarative YAML into native Redis data structures (e.g., hash, JSON, stream) and written to Redis in near real-time.
RDI is available on Redis Software, as well as Redis Cloud on AWS. Once you have a Redis Software deployment, RDI can be installed on a VM before a pipeline is configured and deployed using Redis Insight. For AWS users on Redis Cloud, RDI can be set up through the Redis Cloud UI.
Source databases and warehouses weren't built for the latency or scale that real-time apps and agents need. RDI unlocks that data by continuously streaming updates into Redis, where every read is served at sub-millisecond latency and high concurrency. Redis becomes the serving layer for data still owned by your system-of-record. No custom pipelines, no stale reads.
RDI fits real-time apps and agents that depend on large, frequently-updated data which are common in financial services, e-commerce, and government. Examples include mobile banking, trade processing, real-time inventory, AI agents acting on current operational context, and tax payment portals, typically with thousands of concurrent users and tens to hundreds of millions of rows.
