We built IOblend because enterprise data integration had become harder than it needed to be. The architecture should work for you, not the other way round.
IOblend is an independent enterprise data integration and DataOps platform built to connect, transform, govern and synchronise data across the systems organisations already own. It supports batch, Change Data Capture and real-time streaming on Apache Spark across cloud, on-premises and hybrid environments.
Our point of view is simple: organisations should not have to rebuild their entire technology estate just to make data usable for AI, analytics, applications and modernisation. IOblend provides the production layer between systems so the stack can evolve without every new initiative becoming another integration programme.
The same integration problems kept appearing in every generation of enterprise technology.
The platforms changed. The cloud arrived. Then big data, IoT and AI arrived. But the underlying work remained familiar: connect systems, move data, transform it, check it, keep it current, understand what changed, and make the whole thing reliable enough for production.
Every new initiative created another integration project.
Cloud migration, analytics, AI, operational reporting and application modernisation often rebuild the same source connectivity, transformation and quality logic in different places.
The toolchain became more complicated than the data problem.
Batch, streaming, CDC, quality, lineage, orchestration and exception handling can easily become separate products, teams and operating models.
Architecture choices became expensive to change.
When integration logic becomes tightly coupled to one platform, moving workloads or adding a new system can trigger another round of engineering and migration effort.
So we designed the integration layer around the problem, not around another destination platform.
IOblend was created around a simple premise: one production environment should be able to handle the difficult work between systems while giving engineers, architects and business teams enough control to adapt it to real enterprise requirements.
Independent by design
Connect systems and strategic platforms without making the production integration layer dependent on one vendor ecosystem.
Apache Spark underneath
Use a proven distributed processing framework for production batch and streaming workloads while IOblend manages the pipeline layer above it.
Visual where useful, code where needed
Build visually, then use SQL and Python when specialist logic or engineering control is required.
Governance in the flow
Bring validation, lineage, schema, metadata and exception handling into the production pipeline lifecycle.
Reusable production logic
Represent pipeline intent through reusable metadata and standard languages so architectural change does not mean starting again.
Your infrastructure
Run in customer-controlled cloud, on-premises or hybrid environments rather than forcing enterprise data into an IOblend-hosted platform.
A production data layer that turns architecture into executable pipelines.
IOblend combines a visual Designer, reusable pipeline metadata and the IOblend Engine with Apache Spark execution. The result is a production environment for building, testing, running and managing enterprise data pipelines across batch, CDC and streaming.
IOblend came out of years of building and running difficult data programmes.
IOblend’s founders have spent decades working with complex business intelligence, data engineering and data management initiatives. The recurring frustration was not a lack of technology. It was the amount of time, cost and specialist effort required to make different systems work together reliably.
Between the systems you run today and the platforms you want to get more value from.
IOblend complements Microsoft Fabric, Databricks, Snowflake and other strategic platforms. It is most useful where the architectural problem sits between systems: legacy connectivity, real-time data, CDC, migration, synchronisation, data quality and production governance.
Keep the platforms. Standardise the production data work around them.
Use IOblend as the independent layer that connects operational and legacy systems, applies production controls, and delivers trusted data to the platform or application that needs it next.
Different programmes. The same production data problem underneath.
Whether the visible initiative is AI, real-time analytics or modernisation, the production requirement is usually similar: get data from multiple systems into a reliable, governed and usable state without creating another fragile integration estate.
Feed AI with fresh enterprise data
Connect operational and historical information, apply quality and context, and keep the production data flow current as AI applications move beyond the prototype stage.
Combine live events with business context
Use streaming, CDC and batch data together for IoT, operational analytics, monitoring and event-driven applications without operating separate integration stacks.
Move without one high-risk cutover
Synchronise legacy and target systems, reconcile results and run environments in parallel until the organisation is ready to switch.
A UK-built enterprise data integration product with a clear architectural point of view.
IOblend is a brand of Connect.IO Ltd. The product is focused on production data integration, DataOps and real-time processing, with deployment designed for customer-controlled cloud, on-premises and hybrid environments.
Connect.IO Ltd
IOblend is the enterprise data integration and DataOps product brand of Connect.IO Ltd, built around Apache Spark and designed for production data movement across complex enterprise estates.
Coventry, United Kingdom
Union House111–113 New Union Street
Coventry
CV1 2NT
United Kingdom
This is the company address currently published on ioblend.com.
IOblend helps organisations make the technology estate they already own work together more effectively, without requiring the business to rebuild around another enterprise data platform.
A few useful facts about the company and the product.
The answers below cover IOblend’s architectural role, technology foundation, deployment model and relationship with the strategic platforms organisations already use.
What is IOblend?
IOblend is an enterprise data integration and DataOps platform for building, running and managing production data pipelines across batch, Change Data Capture and streaming workloads.
Why was IOblend created?
IOblend was created to simplify the recurring integration, transformation, quality and governance work that appears across enterprise data programmes, modernisation initiatives, analytics and AI projects.
What technology does IOblend use?
IOblend uses Apache Spark as the distributed processing foundation. The IOblend Designer and Engine add reusable pipeline metadata, visual development and production DataOps controls around Spark execution.
Does IOblend replace Microsoft Fabric, Databricks or Snowflake?
No. IOblend is designed to complement strategic platforms by handling production data movement, transformation, synchronisation and governance across the broader enterprise estate.
Where does IOblend run?
IOblend is designed to run in customer-controlled infrastructure, including cloud, on-premises and hybrid environments.
Who owns IOblend?
IOblend is a brand name of Connect.IO Ltd, a UK company based in Coventry.
Bring us the data problem you are trying to simplify.
We can look at the systems, platforms, latency requirements, governance controls and modernisation constraints, then show where an independent production data layer can remove repeated engineering without forcing a platform replacement.