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

Rayven is completely interoperable and comes with ready-to-deploy connectors and custom integrations (both low- and no-code options) that enable you to connect any system, database, device, machine, third-party data feed, SaaS - anything - in real-time.

Ingest data in any format, structure, static or time-series, via file import, and more.

Rayven makes it easy to manage your data streams - no matter their origin, structure + format - and store your data securely to ensure it's accessible, anywhere.

With real-time tagging, labelling + monitoring; our easy-to-use, enterprise-level tools make sure that your data is ready for anything.

Rayven makes it simple to clean, normalise + prepare all of your data for analysis - in real-time.

Beyond pre-processing, we make it easy to transform you data and align it for the multiple purposes you may have for it; whether that's for data visualization in the platform, for use in Machine Learning and LLMs, executing machine control commands, pushing data elsewhere - anything.

Rayven enables you to analyse your complete, collated real-time data sets as they're created so that you can deliver real-time insights and up-to-date data visualizations to interconnected systems or custom apps built on the Rayven platform. Monitor real-time performance and improve decision-making, simply.

Rayven enables you to build the interfaces and data visualizations users need to explore, analyse, and take action in real-time.

Featuring drag-and-drop configuration, ready-to-deploy widgets + out-of-the-box design features; Rayven makes it ultra-simple to design and deploy custom dashboards or complete applications with virtual controls and AI-led optimisations.

Rayven can be deployed anywhere, connects to anything + its platform architecture enables you to scale use at-will, almost infinitely. Start with a handful of systems to ETL data and scale it to connect all of your technologies and deploy custom, enterprise-level AI applications that leverage real-time, complete data sets to deliver self-optimisation in operational environments.

Collective-Intelligence-Solution-Forklift-Tracking

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.

Platform Overview

Integrations + Data Ingestion

Data Orchestration, Logic + AI

Frontend UIs + Functions

Platform Foundations

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AI-Powered Unified Data Platform.

Your data, put to work.Real-time. AI-powered. Unified.

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

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

Orchestrate all your data to deliver a complete, accurate + accessible real-time single source of truth.

Total Data Integration

Easy Data Management

Bidirectional ETL

Real-Time Analysis

Bespoke Data Visualizations

Infinite Interoperability + Scalability

Unite ALL your historic + real-time data

Easily manage, store + ETL data from one place

Simple drag-and-drop or low-code config

Create custom visualizations + dashboards

Deploy on your infrastructure or in the Cloud

Low-cost, infinitely scalable + with 24/7 support

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

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

Our Data Platform integrates + can coordinate everything in real-time.

Create alerts, report in 1-click, design workflows that automate anything + build complete apps.

Apply Machine Learning + GenAI to your data sets, natively.

Build the data visualizations users need to explore, analyse + action.

Rayven has everything you need to succeed whatever your business, technologies, or needs.

How can we help you get started?

Start your trial.

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Data Management

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Platform Foundations.

Your data, put to work.
Real-time. AI-powered. Unified.

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

Integration +
Data Ingestion.

File
Uploads

Data Orchestration,
Logic + AI.

Frontend Interfaces
+ Functions.

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Management

Rayven
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Security