Real-time database + tables: simplify your data layer.
Unify data from anywhere, run instant queries + have your data ready for anything, anywhere.
All-in-one storage: Hybrid SQL + Cassandra tables, or connect your own.
Built-in ETL: Ingest, transform + consolidate any format in real-time.
AI-ready: Feed LLMs, agents + automations straight from your tables.
Join the teams big + small achieving more with Rayven:
Why you need a real-time database.
Modern systems, data + users demand more than static automation.
Databases are meant to make life easier, but for most teams they’re another source of pain. Multiple systems, messy formats, slow queries, and an endless stream of workarounds eat time and stall progress. Rayven gives you everything in one place.
Fragmented data.
Information scattered across apps, files, APIs + legacy systems.
Inflexible storage.
Forced to choose between SQL or NoSQL, transactions or time-series.
Every new app, workflow or AI project means another backend build.
What Rayven's hybrid, real-time database is.
Rayven’s Database + Tables is a complete backend that removes the usual database trade-offs. SQL and Cassandra run side-by-side, so you can handle transactions, time-series + unstructured data in real-time.
It goes beyond storage. Your data is instantly usable - powering apps, triggering workflows, feeding LLMs, or plugging into existing systems. ETL, transformation, orchestration, and security are built-in, giving developers speed, control + scale without bolt-ons.
Why a real-time database built on Rayven are different.
Most databases stop at storage and querying. Rayven goes further - combining hybrid SQL + Cassandra with real-time ETL, orchestration + AI integration in one backend. It’s not a point tool; it’s an end-to-end environment built to handle structured, unstructured, and streaming data at scale, without forcing you to stitch together multiple systems.
Hybrid storage engine Native SQL + Cassandra, delivering ACID transactions + elastic time-series in a single schema layer.
A real-time database platform doesn’t just store data - it ingests, transforms, and makes it queryable instantly. Rayven’s combines SQL + Cassandra so you can handle relational, time-series, and unstructured data in one backend, without latency.
Yes. You can use Rayven as your core storage engine or as a unifying layer. Connect external SQL/NoSQL databases and query them alongside Rayven’s hybrid tables.
ETL/ELT pipelines are built-in. You can configure them visually with drag-and-drop nodes or extend with code. Data is cleaned, mapped, and transformed as it streams in - no need for separate tools.
Rayven tables can act as knowledge bases, feed RAG pipelines, or provide live training data. Because data is always fresh and orchestrated in real-time, LLMs and AI agents are never working on stale information.
Yes. Cassandra handles high-volume time-series natively, while SQL covers relational workloads. This means you can store, query, and analyse events, logs, or metrics without bolt-on systems.
All data is encrypted in transit and at rest. Role-based access, audit logs, and enterprise-grade authentication are standard. You can deploy in SaaS, private cloud, or on-premise.
Rayven scales elastically across both SQL and Cassandra layers. Handle millions of records, streams, or queries without redesigning schemas or managing infrastructure.
Other platforms force you to choose: SQL or NoSQL, storage or ETL, backend or orchestration. Rayven brings it all into one environment - hybrid storage, real-time pipelines, orchestration + AI-ready outputs - giving developers a complete, future-proof data layer.
