IOblend
technology
making it work
Build and run production-grade Apache Spark data pipelines
Powerful, versatile and simple - one tool for all data integration jobs
We believe in simplicity and versatility of data integration tools. This is why we created a “Swiss army knife” solution to allow you to do all data integration jobs with just a single tool.
You will drastically reduce the effort and cost of production-grade ETL development, multiple tool ecosystem maintenance and manual data wrangling.
If you want to get the most out of your valuable data or deploy the power of AI fast, choose IOblend.
What does IOblend do? TL;DR
Most teams only look for a better integration layer after the first migration cutover slips, or the first “mystery Spark failure” hits production. Don’t wait for the incident.
- Production-grade data pipelines in days—built-in DataOps + optional Agentic AI
Integrate multiple sources (e.g. Oracle, Snowflake, Salesforce, D365, plus many more) with any system in real-time
Drag-and-drop to build event-driven or batch pipelines in Spark – no Spark coding is required
Apply custom data quality & transformation rules using SQL or Python
- Directly embed AI agents into the ETL process to simplify architecture and overheads. IOblend now supports seamless integration with LangChain, enabling developers to embed powerful AI workflows directly into their data pipelines using Python. With native LangChain compatibility, IOblend users can build intelligent automation, connect large language models to real-time data sources, and unlock advanced AI-driven insights without leaving their existing workflows
- Deploy to and run on any cloud or on-prem Spark clusters
Powerful data management and governance to monitor, audit and govern your data at scale
- The “Feature Store without the Store” – Ideal if you want feature engineering + governance + streaming freshness (P99 latency and >1mn TPS) directly in your warehouse/lake, without managing a separate feature store infra. Especially great for on-prem, air-gapped, or cost-sensitive teams.
- A single application to replace your existing data integration stack or to enhance it with new powerful capabilities – full flexibility!
Technical highlights
Desktop application
IOblend is a desktop application designed to run on the client’s infrastructure (local, on-prem, cloud or hybrid). Supports WinOS, MacOS and Linux.
Uses Apache Spark framework
Real-time, production grade, managed Apache Spark™ data pipelines in minutes. Easy-to-use designer and a powerful engine for any data pipeline architecture (ETL/ELT/ReETL).
Automatic in-built DataOps
Easy integration of real-time streaming (transactional event) and batch data
IOblend is built around Kappa architecture, which enables easy handling of both batch and real-time data, saving you time and cost.
Process streaming data at ultra low latencies (P99) and at high volumes (>1mn TPS).
Low code / no code development
Low code development without the usual downsides.
We specifically made sure you could use IOblend for any data integration job, no matter the complexity. We just abstracted away the coding complexity associated with Spark to reduce the development burden.
Use SQL or Python for data transformations to handle your business rules, specific quality policies and other constraints.
IOblend will automatically build, run and manage efficient Spark pipelines in the background for you.
Applicable for all data integration use cases
No data challenge is beyond reach with IOblend
Data migration, system integration, real-time IoT analytics, central or federated data architectures, data synchronisation, from simple ingests to full end-to-end data processing in-flight, features store to embedded AI agents – IOblend caters to all data integration use cases.
Work with any data wherever it resides
Real-time integration with Snowflake, GCP, AWS, Salesforce, Oracle, Databricks, Microsoft Azure, SAP plus many more.
IOblend connects to all data sources and sinks via JDBC, ODBC, API, ESB, dataframes or flat files.
Low latency, massively parallelised data processing
IOblend was designed with real-time data applications in mind. Execute at P99 latencies or run large batches of data – it devours both use cases.
We have optimised Spark for extreme performance on modest machinery to improve computational efficiencies and reduce cost (in prod settings >1mn transactions per sec).
Agentic AI ETL
Embed custom AI agents using our in-built Python module. Execute, validate and enrich AI output right inside your ETL pipeline, significantly reducing development time and management overhead. Bring GenAI to reality faster than ever before.
Flexible and cost-effective deployment
IOblend runs on any environment – local, on-prem, edge, cloud and hybrid.
Storage and compute are decoupled, so you can deploy the processing engine independently of your data repositories for best performance and cost.
Example: source the data from your on-prem Oracle ERP, process it using AWS EC2 or EMR, push the results into MS Azure for analytics.
How it works
IOblend consists of two core components
IOblend Designer and IOblend Engine.
IOblend Designer is a desktop GUI for interactively designing, building and testing data pipeline DAGs. This process produces IOblend metadata describing the data pipelines that need to be executed.
IOblend Engine is the heart of IOblend that takes data pipeline metadata and converts it into Spark streaming jobs to be executed on any Spark cluster.
Metadata driven development
IOblend data pipelines are defined in playbooks, which store configuration, run parameters and the business logic.
The playbook components are stored as JSON files and can be easily reused and shared among developers to speed up further development work.
The IOblend Engine dynamically converts playbook information to Apache Spark™ streaming jobs and executes them efficiently without the need to code.
Develop and run pipelines with a single software
IOblend gives you the power to develop and run data pipelines, simplifying the engineering process considerably
The intuitive Designer front end interface allows for easy, interactive data pipeline development.
You can add/remove as many dataflow components as required, build and test them one at a time, in sequence or its entirety, and create fully productionised data pipelines.
We made it very easy to build real-time streaming and batch data pipelines
Create advanced dataflows for streaming or batch data from any source and sink to any environment prem/cloud/hybrid environments – and push your data back to the source just as easily if required.
We have templated and annotated the Designer options to help you develop data pipelines faster.
Development mode
In Dev mode, we have added a visual interface to let you test and inspect each step of your data pipeline development as you progress.
Pause, amend and update your sources, transforms and sinks while running data pipelines, without the need to stop the job while you work on it. This approach makes it much easier and faster to test your logic.
You can easily see and export the schemas, pipeline components, metadata, error logs and run parameters to your preferred repositories for further reuse.
All IOblend data pipelines are stored as JSON metadata files, which means they can be placed in any code repository and versioned, just like standard software development.
Deploy anywhere
Local deployment
Local machine deployment is best suited for dataflow development.
IOblend ships with a containerised Spark environment, so it works out of the box – no need for developers, analysts and data scientists to build local Spark environments.
The software connects to the client’s data systems via the existing security protocols, so no data is ever exposed externally.
Cloud deployment
Only the Designer is installed on the local machine.
IOblend Engine is installed on any Cloud or on-prem environment as either a Linux container or directly into your Spark infrastructure such as Databricks, HDIsight, Google Cloud Proc or AWS EMR as well as on-prem Spark infrastructure.
The Linux image contains all the essential IOblend components within.
The user can easily interact and run data pipelines from the Cloud to any external systems (cloud and on- prem).
IOblend supports all major Cloud systems and allows you to work with multiple Clouds simultaneously (e.g. split your store and compute between clouds).
IOblend resides entirely inside the client’s environment, inheriting full security protocols for a complete peace of mind.
Agentic AI ETL
Easily embed AI agents to bring in, validate and analyse data from unstructured documents and integrate with your normal ETL processes.
Feature Store
IOblend changes the feature store game by embedding its capabilities into MLOps pipelines.
It makes it a lot more flexible and efficient to run ML and AI models on any infra. Ultra low latency (P99) and high throughput (>1mn TPS)
Data Migration
Migrate data and business logic quickly from any source.
Perform migrations by synchronising the systems and then when you are ready decommission the legacy system.
Real-Time Data Integration
Analyse real-time streaming data from IoT devices, transactional systems and live events with no hassle.
Integrate real-time and batch data seamlessly in the same pipeline and remove the need for a staging layer.
IOblend is the data integration turbo-charger that turns messy, scattered data into governed, analytics-ready gold.
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- Plug in anything, anywhere. Connect to any data system and ingest batch or real-time streams from cloud and on-prem sources via JDBC, APIs, flat files and more. Sync your data in real-time across multiple systems.
Low-code power, Spark muscle. Drag-and-drop pipelines while IOblend autogenerates optimised Apache Spark jobs behind the scenes—no heavy coding, no bottlenecks. Better yet, IOblend comes with its own execute Spark engine allowing you to run these pipelines on any infra at any scale. Move data processing to “the left” and save massively on in-warehouse computes.
One pipeline, every use case. IOblend’s Kappa-based architecture seamlessly handles CDC, ELT, IoT streams, and AI-driven ETL—all within a single low-code Designer—eliminating the need for multiple tools and dramatically accelerating development.
Built-in data governance. Automated lineage, quality checks, error handling, and audit trails keep compliance effortless. Seamlessly implement an MDM layer (internal or external) or a feature store for ML and AI analytics.
Enterprise scale on modest hardware. Proven to process well over 1 million transactions per second—so you grow without the cost spike.
A data integration solution you can trust
Industry leaders onboard – Microsoft, Snowflake, SAP, AWS, Salesforce, GCP.
Customer voice – “We shrank a six-system integration from weeks to five days with one engineer.” – UK Government Agency
Measurable impact – 90% drop in data-management effort, 10× faster delivery, project payback in a single quarter.
Covers all data integration use cases
Cloud & application migration – retire legacy systems sooner, save licence costs.
Real-time ops & IoT analytics – act on events as they happen, no staging required.
AI production pipelines – guarantee fresh, reliable training and inference data.
- Feature Store – P99 refresh, over 1mn TPS (network bound)
Overcoming common Data Platform challenges with IOblend
When evaluating Data Integration platforms, many teams ask the same questions:
Will it scale? Will we get locked in? Can we handle bespoke logic? How much will it cost?
At IOblend, these concerns are already addressed by design.
Performance & Scalability
IOblend pipelines consistently deliver ultra-low P99 latency and scale to over a million transactions per second. Unlike traditional Spark deployments, the IOblend Engine automatically manages sessions, concurrency, and cluster resources. This means you get extreme throughput without the overhead of tuning Spark clusters manually.
No Vendor Lock-In
Your business logic stays portable and future-proof. Pipelines are stored as JSON playbooks, and all transformations are written in Python or SQL—the most widely adopted languages in data engineering. If you ever need to move, your core logic moves with you.
Full Flexibility for Complex Logic
IOblend isn’t a “black-box low-code tool.” It’s Python and SQL at the core, giving engineers complete freedom to implement niche rules, custom algorithms, or advanced transformations at Spark scale. The Designer simply accelerates development—without limiting complexity.
Observability & Debugging
Every pipeline comes with record-level lineage, CDC tracking, schema evolution, error handling, and visual debugging built in. You can pause, amend, or replay streams in real-time, making troubleshooting straightforward. This eliminates the opaque “trial and error” debugging cycle common in other platforms.
Wide Connector Coverage
IOblend connects seamlessly to Snowflake, Databricks, AWS, GCP, Azure, Oracle, SAP, Salesforce, Redshift, Postgres, Iceberg, JDBC/ODBC sources, APIs, ESBs, and more.
Agentic AI embedding
IOblend now supports seamless integration with LangChain, enabling developers to embed powerful AI workflows directly into their data pipelines using Python. With native LangChain compatibility, IOblend users can build intelligent automation, connect large language models to real-time data sources, and unlock advanced AI-driven insights without leaving their existing workflows
Cost Efficiency
IOblend licensing is simple. There are no hidden user fees, no per-query charges, and no unpredictable consumption models. By auto-optimising Spark pipelines, IOblend often reduces infrastructure cost by up to 50% compared to DIY Spark.
Easy Adoption, Fast Time-to-Value
Teams don’t need to learn a proprietary language. With Python, SQL, and a drag-and-drop Designer, both data engineers and analysts can contribute. Most customers deliver their first production-grade pipeline in days, not months.
90%
Reduction in data
management effort
70%
Code abstraction reduces data engineering cost
10x
Improve data integration project timescales
ROI
Achieve project ROI in weeks/months, not years
Deliver your success with data now
IOblend simplifies and automates the integration of data from all sources in bulk.
Designed to facilitate fast and robust data pipeline development regardless of complexity. Complete your data integration projects much faster and with fewer resources than ever before.
Achieve a fast ROI on all your data integration efforts.
Unlock data insight in days, not years
Why Data Teams Switch
Most data organisations don’t lose because they can’t write Spark. They lose because pipelines are fragile, hard to debug, and expensive to operate. That drag quietly compounds: slower delivery, more incidents, more rework, bigger bills, and missed deadlines.
Your competitors aren’t winning on models. They’re winning on operational throughput.
Book a two-week, fixed-price pilot to really see how IOblend can deliver value for you.
We’ll quantify the cost savings and time-to-value for your specific initiatives. Our team will deliver the pilot, training and walk your dev team step-by-step through the process. From our experience, this is the most powerful way to demonstrate value of IOblend fast.
Book today and see for yourselves.
