IOblend is an end-to-end, low code / no code data integration product with extensive in-built data management and technical governance capabilities. It is a highly versatile ETL product for building, running and managing production-grade data pipelines.

IOblend is ideal for companies looking to lower their data integration cost and project delivery timescales for all type of data analytics initiatives.

The tool is designed to facilitate fast and robust data pipeline development regardless of the underlying logic complexity, data types or architecture. It handles batch and low latency real-time streaming data equally hassle-free.

This makes it an especially useful tool for data migrations, data and system integrations, IoT real-time analytics and AI initiatives.

IOblend saves significant effort and cost on data integration by simplifying and automating the bulk of the development work.

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). IOblend will automatically build, run and manage efficient Spark pipelines in memory.

Automatic in-built DataOps

Record-level lineage, CDC, metadata, schema, eventing, de-duping, SCD, chained aggregations, MDM, cataloguing, regressions, windowing, compaction – all features are in-built and require no additional Spark coding.

Easy integration of real-time streaming (transactional event) and batch data

IOblend is build around Kappa architecture, which enables easy handling of both batch and real-time data.

Low code / no code development

Low code development without the usual downsides, 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, inject stored procedure, specific data quality policies and other constraints.

Typical users:

Developers, data engineers, data scientists.

IOblend key value proposition:

Complete your data integration projects much faster and with fewer resources than ever before.

IOblend_NTCONNECT.IO LTD

IOblend_NT

CONNECT.IO LTD

IOblend_NT

CONNECT.IO LTD

IOblend_NT
CONNECT.IO LTD