IOblend
data
integration
revolutionised
Add AI. Add Real-Time Analytics. Not Another Data Platform.
Make the data and technology you already own do more.
IOblend turns the data you already own into the fuel for AI, analytics, automation and modernisation, without forcing you to rebuild the technology estate you have already invested in.
Keep Microsoft Fabric. Keep Databricks. Keep Snowflake. Keep SAP. Keep your legacy systems.
IOblend connects the gaps between them, prepares the data, applies quality and governance, and makes it usable wherever the business needs it next.
No rip-and-replace. Less custom integration. Less platform dependency. Faster time to value.
Where IOblend helps
You Don’t Need Another Data Platform.
You already have the data.
You probably already have the cloud, warehouse, lakehouse, ERP, CRM and AI technology too.
The problem is everything between them.
Data has to be moved. Joined. Cleaned. Checked. Governed. Kept current. Made usable by AI. And every new project seems to create another integration project.
That’s the problem IOblend removes.
IOblend gives your organisation one production layer for getting data from where it is today to where the business needs it next.
Without forcing everything into one vendor’s ecosystem.
Without rewriting your business logic every time the architecture changes.
Without assembling a different stack of tools for batch, real-time, data quality and AI.
NEW! Now embed and run your AI Agents from within the ETL pipeline
Make AI Work With Your Business
Buying an AI platform doesn’t make your organisation AI-ready.
Your real competitive advantage is the information locked inside your own:
Customers. Transactions. Products. Operations. Documents. Machines. History.
IOblend continuously connects that information, checks its quality, adds context and makes it available to AI applications while keeping the underlying data inside your existing environment.
Your AI becomes useful because it can finally work with your business data.
Enterprise AI starts with enterprise data. IOblend gets it there.
One Tool. Very Different Problems
Want AI?
Feed it fresh, governed, secure enterprise data.
Want better analytics?
Connect information currently trapped across different systems.
Want real-time insight?
Combine live events with existing business data.
Want lower IT costs?
Reduce bespoke pipeline development and unnecessary processing.
Want to modernise?
Connect legacy technology to modern platforms without ripping everything out.
Want better data quality?
Stop bad data before it reaches reporting, analytics or AI.
And Here's What Makes IOblend Different
Most data products want your data, your processing or your architecture to revolve around their platform.
Your data can stay where it belongs.
Your processing can run on infrastructure you control.
Your business logic remains portable using standard SQL, Python and JSON.
The same IOblend engine can handle batch data, real-time streaming, CDC, transformation, data quality, governance and AI-enabled workflows.
And you don’t need five different products to do it.
Your data. Your infrastructure. Your architecture.
IOblend simply makes it work together.
Get More From Fabric, Databricks and Snowflake
Create production-grade data pipelines, sync data across any systems, migrate your data from on-prem systems to the cloud, use for real-time IoT, you name it, we do it!
Your strategic data platform shouldn’t become another expensive integration project.
IOblend accelerates the difficult work around modern platforms by connecting them to the rest of your business.
Microsoft Fabric + your legacy estate
Databricks + your operational systems
Snowflake + your enterprise applications
AI + your trusted business data
Instead of replacing your existing investments, IOblend makes them more useful.
Seamlessly integrate existing and new data sources, real-time and batch.
Real-time integration with Snowflake, GCP, AWS, Salesforce, Oracle, Databricks, Microsoft Azure, SAP plus many more. IOblend connects to all data sources and systems via JDBC, API, ESB, dataframes or flat files
What customers say about IOblend
"This product has taken data pipeline development for our clients from weeks to minutes. This is a product every company needs... they just do not know it yet."
“Our engineer without any real training on the tool was able to build real-time production grade data pipelines syncing six disparate systems in just five days that not only transformed the data but could also manage data quality and apply governance."
"Our only data solution that runs reliably with minimal supervision for the past nine months. Incredible."
The use of agentic AI in the ETL pipeline has been a real gamechanger for us. We can now process unstructured documents automatically, validate the information and enrich it with the structured data. Just amazing,
Trusted by industry leaders
Do more with less
We know all too well how critical it is to keep project costs down.
On average, data integration consumes 75% of the total project spend in time and resources.
What if you could get the work of five data engineers done with a single resource and in a third of the time?
Watch Product Demo
Put Us Against Your Hardest Data Problem
Don’t start with a generic demo.
Give us something that’s costing you time, money or preventing a new capability:
An AI project blocked by poor data.
A Fabric programme struggling with legacy integration.
An expensive collection of data pipelines.
A migration that’s taking too long.
Analytics that aren’t real-time enough.
Data nobody completely trusts.
Give us the problem.
We’ll show you what IOblend changes.
Ask about IOblend products, pricing, services, implementation, partnering, or anything else data related. We are always happy to help out as much as we can.
Follow our latest blogs
Lakehouse Data Quality Gates: Stop Bad Data Fast
Lakehouse Quality Gates: Fail Fast Before Bad Data Lands 📋 Did You Know? Up to 20% of real-time event streams suffer from schema drift, duplicate payloads, or corrupted records, costing global organisations billions each year in wasted compute, broken analytical models, and polluted reporting layers. The Concept: Stopping Bad Data at the Border Lakehouse Quality Gates are automated,
Automated Data Contracts: Stop Schema Drift
Data Contracts That Stick: Enforce Schema and Expectations Automatically 📜 Did You Know? In the early days of big data, a single unannounced column type change in an upstream transactional database could trigger a catastrophic “data graveyard” effect, corrupting millions of analytics records before anyone noticed. The Concept of Enforceable Data Contracts A data contract is
ETL with IOblend
IOblend exemplifies modern ETL processes. It is an end-to-end enterprise data integration solution with built-in DataOps capabilities, utilizing Apache Spark™ for real-time, production-grade data processing. It addresses both batch and streaming data integration needs.
Key features of IOblend include:
Automated DataOps: Streamlines the data integration lifecycle for efficient data management and governance.
Low/No-Code Development: Enables rapid development and deployment of data pipelines using SQL or Python.
Diverse Data Architecture Support: Supports both centralized and federated data architectures, accommodating different enterprise needs.
Compatibility with Various Environments: Works across local, on-premises, edge, cloud, and hybrid setups.
Integration with Multiple Data Sources and Sinks: Connects through JDBC, API, ESB, dataframes, or flat files, offering flexibility in handling data from various origins and destinations.
IOblend significantly accelerates data pipeline development, reducing costs and simplifying architecture. For those undertaking data migrations, complex data integrations, real-time IoT, or federated architectures, IOblend promises to alleviate many challenges and reduce expenses.