Why do businesses need a data platform?

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.

What does a modern data platform include?

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.

How is a data platform different from a data warehouse?

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.

Who uses a data platform?

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.

Can a data platform support real-time analytics?

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.

What should you look for in a data platform?

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.

What features should workflow automation software include?

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.

What makes Rayven’s data platform different?

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.

AI-Powered Unified & Real-Time 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.

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.

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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.

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

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

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

Ingest any data, from anywhere.

Transform data in real-time or batch.

Orchestrate complex data workflows.

Unify SQL + Cassandra storage.

Deploy AI, ML + predictive models.

Secure, scalable + no/low-code.

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

What is a Data Platform?

Key capabilities of a real-time data platform:

Rayven is a complete data platform / DataOps that conquers integration, data silos, format, latency + quality challenges in minutes.

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

Ingest + connect any data.

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

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

Orchestrate end-to-end data workflows.

Embed AI, ML + GenAI anywhere.

Act on data with custom apps + automations.

Why choose Rayven as your data platform?

How can we help you get started?

Start your trial.

Talk to an expert.

Download brochure.

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