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AI-Powered Unified Data Platform.

A data platform built to do everything in real-time. No/Low-Code.
Hybrid SQL/NoSQL
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  Ingest + unify streaming, batch + static data sources

  Real-time ETL, data transformation + orchestration built-in

  Trigger workflows + deploy AI models from your pipelines

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Join the organisations big + small already achieving more with Rayven:

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Extract  |  Ingest  |  Format  |  Process  | Transform  |  Analyse  |  Store  |  Manage  |  Load  |  Share  |  Visualize  |  Everything

A real-time data platform for ingestion, transformation + orchestration at-scale, simply.

Rayven is a full-stack, real-time data platform that lets you ingest, transform, orchestrate, store + act on data from any source - streaming or static - using a single, low-code environment.

Our platform combines end-to-end data pipeline management with native integration, hybrid storage (SQL + Cassandra), real-time logic + built-in AI model deployment.

Eliminate middleware, simplify infrastructure + move from ingestion to action in milliseconds.

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Ingest any data, from anywhere.

 Connect to systems, sensors, APIs, files, databases - streaming or batch - with native, custom, or protocol-level connectors.

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Transform data in real-time or batch.

Cleanse, reshape, validate + enrich data using built-in ETL/ELT tools and low-code logic flows.

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Orchestrate complex data workflows.

Trigger flows, coordinate pipelines, schedule events + manage dependencies with full support for logic, alerts, and retries.

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Unify SQL + Cassandra storage.

Query, analyse + store structured + time-series data in one place.

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Deploy AI, ML + predictive models.

Train and run GenAI or ML models on live data - at the edge, in-stream, or in apps.

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Secure, scalable + no/low-code.

Enterprise-grade encryption, multi-tenant architecture + dev-friendly tools for building, deploying, and scaling faster.

Rayven has free + low-cost options, making it affordable for every business.

What is a Data Platform?

A data platform is the foundational layer that enables businesses to ingest, store, transform, orchestrate, and operationalise data from across their organisation - at-scale.

Unlike traditional tools that require patching together databases, ETL services, and workflow tools, a modern data platform like Rayven unifies every component. It connects to any system, handles both real-time and batch data, supports multi-model storage (including SQL + Cassandra), and enables automation, analytics, and AI deployment from a single interface.

Key capabilities of a real-time data platform:

  • Data ingestion + system integration (via APIs, connectors, protocols)
  • Real-time + batch ETL/ELT for transformation and validation
  • Data storage across SQL and Cassandra for flexible structuring
  • Workflow automation + orchestration (rules, triggers, schedules)
  • AI + ML model integration for intelligent outcomes
  • Unified interface for developers, analysts + operations teams.
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Rayven is a complete data platform / DataOps that conquers integration, data silos, format, latency + quality challenges in minutes.

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Rayven: everything you need to handle data in one platform.

Rayven enables you to easily connect to all your business systems, SaaS, infield assets, data feeds, CRM, IoT devices, spreadsheets - anything - so that you can surface all your data in real-time and make it available for anything both within and outside the platform.

Use ready-to-deploy connectors and custom integrations (with both low- and no-code options) to build a real-time single source of truth, simply.

Ingest + connect any data.

Connect to any data source - systems, devices, sensors, APIs, databases, or files - using prebuilt connectors or protocol-level integrations (HTTP, MQTT, OPC UA, Modbus, and more).

Rayven supports both streaming and batch ingestion, enabling you to build scalable, real-time data pipelines that consolidate silos across cloud and on-prem environments.

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Transform data in real-time or batch for immediate use.

Run ETL and ELT pipelines to clean, enrich, validate, and reshape data on ingestion or at rest.

Use no/low-code logic flows, regex rules, data mapping, and built-in processors to perform advanced transformations in milliseconds. Rayven fully supports schema evolution, multi-source joins, and real-time decisioning.

Store and query with a 3D Hybrid SQL + Cassandra.

Rayven combines traditional SQL storage with high-performance Cassandra for real-time, time-series, and unstructured data workloads.

This hybrid architecture lets you store events, logs, metrics, and relational data side-by-side - queryable through the same interface and accessible via APIs, workflows, or analytics engines.

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Orchestrate end-to-end data workflows.

Define and coordinate data workflows using event-driven architecture.

Trigger flows based on thresholds, conditions, or external events; manage dependencies; retry on failure; and orchestrate actions across integrated systems. Schedule tasks, chain jobs, and dynamically route data using logic-driven branching.

Embed AI, ML + GenAI anywhere.

Train and deploy machine learning and GenAI models using Rayven’s native tooling or your own models.

Use real-time data to trigger predictions, run LLMs trained on your data, or embed AI agents inside automations and apps. Full support for AI lifecycle, from data prep, RAG, and configuration to inference.

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Act on data with custom apps + automations.

Use real-time data to power dashboards, trigger alerts, initiate automations, or launch custom applications.

Build internal tools and operational apps with Rayven’s no/low-code environment. Expose actions via REST APIs, integrate with third-party systems, or drive business logic using live data.

Why choose Rayven as your data platform?

  Built for real-time, from the ground-up

  Full-stack: ingest, process, store, automate + act

  No/Low-code with full Developer control

  AI-native by design

  Secure, scalable + multi-tenant

  Proven across use cases + industries

Rayven + Data Platform FAQs:

A data platform is a unified system that collects, stores, processes, and serves data from multiple sources. It enables you to centralise information, automate flows, and make data available for analysis, automation, and real-time decisions across your business.

Because data is scattered. A proper data platform lets you:

  • Eliminate silos between systems and teams
  • Streamline data ingestion, transformation, and access
  • Power real-time workflows and AI-driven insights
  • Improve governance, security, and scalability

Without a platform, you're managing chaos, not intelligence.

Key components of an effective data platform:

  • Connectors for ingesting structured and unstructured data
  • Processing engines for real-time and batch data
  • Storage that scales and supports querying
  • Governance tools for access control, lineage, and compliance
  • Integration layers for APIs, workflows, and analytics tools.

Rayven has all these - and more.

A data warehouse is one part of the picture - focused on storing and analysing historical data. A data platform does more. It handles:

  • Live data ingestion and stream processing
  • Workflow automation and operational triggers
  • Integration with devices, systems, and APIs
  • Governance, monitoring, and scalability across all data.

Everyone from analysts to engineers, HR and Sales.

  • Data teams use it to model, clean, and serve insights
  • Ops teams rely on real-time triggers and alerts
  • Developers embed data into apps and processes
  • Decision-makers trust it for reliable, up-to-date reporting

A good platform empowers every layer of the business.

Yes - if it’s built for it. Real-time data platforms (like Rayven’s) let you:

  • Ingest data from live sources (e.g. IoT devices, sensors)
  • Trigger workflows instantly
  • Generate dashboards and insights as things happen

Perfect for use cases where seconds matter - not hours.

Make sure your platform can:

  • Integrate with your full tech stack
  • Handle real-time and historical data
  • Support automation, AI, and visualisation tools
  • Scale securely with governance built-in
  • Offer a low-code environment to speed up delivery

You want flexibility without compromise.

Yes - if you choose the right platform. Good workflow automation software connects to:

  • ERPs, CRMs, and finance tools
  • IoT platforms and devices
  • Messaging systems (Slack, Teams, email)
  • Data lakes and warehouses

Integration makes automation smart, not siloed.

Rayven’s platform is built for action, not just analysis.

  • Real-time ingestion, transformation, and automation in one place
  • Unified low-code environment for ops, analysts, and devs
  • Connect anything: machines, APIs, apps, edge devices
  • Full visibility, governance, and control -without needing a PhD in data engineering

What's more you can actually do something with the data: build automations or complete apps that enable you to improve using data.

Easy-to-use, all-in-one, and affordable - even at-scale. Speak to us.