IOblend: an all-in-one data integration accelerator
IOblend is an end-to-end enterprise data integration solution offering true DataOps capability built into its DNA. It is a highly versatile ETL/ELT product for building, running and managing production-grade dataflows.
IOblend offers a comprehensive solution for companies looking to accelerate their AI and data analytics capabilities. It is designed to facilitate fast and robust data pipeline development regardless of complexity. This makes it a powerful tool for data migrations, IoT operational analytics and AI initiatives.
IOblend saves you significant effort and cost on data integration by simplifying and automating the bulk of the development work. Can be self-managed or fully managed by us to suit all your development needs. Complete your data integration projects much faster and with fewer resources than ever before.
See the cost breakdown example of a moderately complex production-grade data integration pipeline.
We know all too well how critical it is to keep project costs down. How many times has your data and analytics budget run dry? How frustrating was it to put all your effort into delivery only to get scuppered by development delays and cost overruns? Well, no more!
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 data integration tasks with just a single tool – IOblend. You will drastically reduce the effort and cost of production-grade ETL development, multiple tool ecosystem maintenance and manual data wrangling.
If you are looking to get the most out of your valuable enterprise data or deploy the power of AI fast, choose IOblend.
What is IOblend?
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)
Massively accelerated data migration projects from on-prem to cloud or cloud(s) to cloud due to low code / no code development and automated data management and governance of data while in-transit. Use only SQL or Python for transforms
Easy integration of real-time streaming (transactional event) and batch data via Kappa architecture and automated DataOps to power your operational analytics, AI and MLOps
Enables robust and cost effective delivery of both centralised and federated data architectures
Low latency, massively parallelised data processing, offering incredible speeds (>10m transactions per sec)
Runs on any environment – local, on-prem, edge, cloud and hybrid.
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, API, ESB, dataframes or flat files
Top uses cases: when should I consider IOblend?
Data Migration
Parallel runs, lift-and-shift, clean up, transform, apply governance, rebuild DWs, aggregate data from multiple disparate systems and files, etc – IOblend enables it all.
IOblend’s combination of real-time data processing capabilities, low code / no code development, flexibility in data management, robust data governance support, data quality monitoring, and automated error handling make it a formidable tool for data migration projects.
Migrate data from any source, no matter how modern or archaic it is and keep a tight lid on your project costs.
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Data Integration
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 the vast majority of data integration tasks with just IOblend. Create production-grade data pipelines, sync data across any systems, use for real-time IoT, you name it, we do it!
IOblend manages data through its full journey – record-level lineage, CDC, metadata, schema, eventing, de-duping, SCD, chained aggregations, MDM, cataloguing, regressions – full DataOps in-flight
Drastically reduce the cost of data pipeline development, simplify your architecture and integrate any data securely across any systems.
Real-Time Analytics and AI
IOblend excels in integrating real-time data from IoT devices, transactional systems and events.
All incoming data is processed in-memory end-to-end within a single tool to reduce latency and integration complexities.
Automatic record-level lineage, CDC (trigger, query and log based), SCD (all types) regressions, windowing, eventing and quality checks make real-time data processing simpler than ever.
Powered by our revolutionary engine (based on a kappa architecture) and utilising the power and efficiency of Apache Spark™, IOblend makes easy work of real-time streaming data.
It is common knowledge that you need quality data to run robust AI and MLOps. IOblend automates all the hard up-front data wrangling work and ensures the data you consume for AI analytics is robust.
Federated Data Architectures
IOblend facilitates robust Data Mesh (federated) architectures, empowering organisations to apply domain-oriented data designs, automatically supported by production-grade “data-as-a-product” dataflows.
IOblend provides a common, domain-agnostic, and automated capability to achieve full data standardisation with full data lineage, data quality policies, alerting, observability and logging.
IOblend’s ability to connect and sync multiple data domains on different infrastructures, built on varied semantics, update frequencies, and formats, while maintaining strict security protocols, sets it apart from the rest. This functionality empowers individual domains to innovate freely while adhering to common standards and best practices.
Trusted by the best: ISV technology partner
IOblend is an end-to-end enterprise data integration solution with built-in DataOps capability. It’s a versatile ETL (Extract, Transform, Load) tool for managing data estates and production-grade dataflows. The platform automates data integration processes, including data lineage, error management, archiving, and metadata management. It supports in-memory transformations of streaming and batch data and automates the creation and management of data lakes and warehouses in any environment. IOblend manages the entire data journey, offering solutions for data quality and reliability, critical for Operational Analytics and MLOps
IOblend is an innovative data integration solution specializing in real-time, production-grade data processing with Apache Spark™. It stands out as an all-in-one data integration accelerator, significantly reducing data engineering costs and project timescales. Key features include automated DataOps, low/no-code development, easy integration of streaming and batch data, and support for diverse data architectures. It’s designed for both centralised and federated data architectures, providing low latency, massively parallelized data processing, and compatibility with various environments like local, on-prem, edge, cloud, and hybrid setups. IOblend connects to all data sources and sinks via JDBC, API, ESB, dataframes, or flat files.
Welcome to the IOblend blog. Here we share the latest news, data integration insights and product developments. We are on the journey to make data engineering simple and cost-effective, no matter what the data challenge is. Please subscribe and visit often to stay in the loop.
The Art of Assembly: Where Data Meets Conveyors
Manufacturing is all about getting the most out of automation, skilled workforce, and data. Data helps drive the decisions that keep everything running smoothly
Saving Cents on Data Sense: Less Cost, More Value
No company is immune from the pains of data integration. It is one of the top IT cost items. Companies must get on top of their integration effort.
Operational Analytics: Real-Time Insights That Matter
Operational analytics involves processing and analysing operational data in “real-time” to gain insights that inform immediate and actionable decisions.
IOblend’s data engineering approach simplifies the development of streaming and batch data pipelines and data lake/warehouse maintenance. The platform uses a Data Mesh architecture to connect multiple data domains with diverse update frequencies and formats while maintaining security. It is ideal for Operational Analytics, with use cases ranging from live data streaming from factories to real-time IoT sensor data analysis. IOblend fits into data engineering, management, and governance, offering comprehensive solutions for data challenges, including data quality checks, error management, and data pipeline productioning. It enables faster, more cost-effective achievement of data goals compared to using multiple products or bespoke tools
How IOblend helps to solve data challenges - manufacturing
It is but one of the examples of how IOblend moves the data engineering game forward
This customer manufactures equipment across seventeen plants spread over several countries
Their manufacturing machinery is very advanced and capable of producing real time data as it operates
However, the company’s central legacy data systems and processes prevented them from obtaining that data efficiently
They had to rely on manual extracts of the machine data, dropping it into a CSV and sending once a week to the HQ for processing and analytics
This data was always at least a week in arrears, meaning that live production decisions were impossible to make from the HQ. Live inventory, machine downtime, component quality, etc had to be addressed well after the issues (and costs) have occurred – reactive approach
The company was looking at improving that situation with modern, real time analytics capabilities using the Cloud and modern tools
The challenge arose when they realised that a solution like this would have taken them eight months to implement with the prevalent technologies and cost seven figures before the running expenses (licenses + users + SaaS fees)
In addition, they would need to hire and train a number of additional engineers to maintain and manage the solution stack
The business case was proving difficult for the internal teams to justify
Enter IOblend
Our platform is an all-in-one solution for cost-effective production-grade data engineering and was assessed by the manufacturing company as the best overall option
We installed IOblend on the client’s Azure Cloud, behind their security firewall
We then proceeded to connect all seventeen factories and enabled true real time data flows using our proprietary Spark-based engine – full end-to-end integration
IOblend automatically applied all data management and data governance policies, again in real time, thus ensuring the data flowing through the pipelines was robust and reliable
After applying the client’s business logic to data transformations, blending real time, adding static lookups and aggregating the running totals, the data was ready for onward consumption
Data processing is happening in-memory and is highly distributed, so we achieve very high processing efficiency (>10m TPS)
If there were data source related disruptions, such as plant downtime, network issues, etc., IOblend would automatically recover the data and reprocess all transforms with notifications sent to the engineers and original totals archived
Data is easily traced with our record level data lineage and is automatically logged by the system
The output of the pipelines is channelled directly to the analytics dashboard, forecasting model and an inventory management system, enabling real time decisioning by the central teams – proactive approach
The ease of installation and implementation of IOblend meant that the original project timeline of eight months was reduced to just three weeks, including one week of the discovery phase
Additional efficiencies were gained through our simple annual licencing model, ease of further developments (single visual platform), minimal maintenance and supervision requirements
The end result? The project was successfully delivered well, well below the original estimates and we gained a very happy customer
Two years later, they say that IOblend is their only platform that runs autonomously without any hassle
Would you like us to show you how you can gain significant benefits from your data estates?
Get in touch today or try our Free Developer Edition for yourself
IOblend joins SAP network
We are now an official member of the SAP® PartnerEdge® open ecosystem.
SAP® is one of the world’s leading producers of software for the management of business processes, developing solutions that facilitate effective data processing and information flow across organisations.
SAP® helps companies and organisations of all sizes and industries run their businesses profitably, adapt continuously, and grow sustainably. Learn more at sap.com.
We are very excited to join this extensive network to provide our cutting edge data integration technology and services to all SAP® customers and prospects.
What is ETL?
ETL, which stands for Extract, Transform, Load, is a fundamental process in data warehousing that involves extracting data from various sources, transforming it into a format suitable for analysis, and loading it into a destination database or data warehouse. ETL is critical in data integration strategies, as it enables businesses to consolidate disparate data for comprehensive analysis and decision-making.
Variations of ETL
Traditional ETL: This involves extracting data from source systems, transforming it in a staging area, and then loading it into a data warehouse.
ELT (Extract, Load, Transform): Here, data is extracted and loaded into the target system, and transformations are performed afterwards. This approach is gaining popularity with the advent of modern, powerful data warehouses capable of handling complex transformations.
Real-time ETL: This variation processes data in real-time as it becomes available, rather than in batches. It’s essential for applications requiring up-to-date information, like operational reporting and real-time analytics.
Cloud-based ETL: With the rise of cloud computing, ETL processes can be hosted in the cloud, offering scalability and cost benefits.
ETL with IOblend
IOblend exemplifies modern ETL processes. It is an end-to-end enterprise data integration solution with built-in DataOps capabilities. It specializes in real-time, production-grade data processing using Apache Spark™, addressing both batch and streaming data integration needs. Key features of IOblend include:
Automated DataOps: Streamlines the data integration lifecycle, ensuring efficient data management and governance.
Low/No-Code Development: Allows for rapid development and deployment of data pipelines using SQL or Python.
Diverse Data Architecture Support: Facilitates both centralized and federated data architectures, making it versatile for different enterprise needs.
Compatibility with Various Environments: IOblend works across local, on-premises, edge, cloud, and hybrid setups.
Integration with Multiple Data Sources and Sinks: It connects to data sources and sinks via JDBC, API, ESB, dataframes, or flat files, demonstrating flexibility in handling data from various origins and destinations
IOblend significantly accelerates data pipeline development, reducing costs and simplifying architecture. If you are doing data migrations, complex data integrations, real-time IoT or federated architectures, get in touch today. We will save you a lot of hassle and cost.