IOblend
production
data pipelines every time
Every data pipeline is production-grade
We have packed IOblend with production features to help you move your data projects from experimental to in-prod much faster and save time and cost.
Every data pipeline built with IOblend automatically manages your data through its full journey – record-level lineage, CDC, metadata, schema, eventing, de-duping, SCD (Types I and II), chained aggregations, MDM, cataloguing, regressions and data asset management.
Reduce the cost of production data pipeline development, improve data quality and automate management of your crucial data.
SELF SERVICE INTERFACE
Drag and drop visual front end, requires no coding or knowledge of Spark framework
MIX STREAM AND BATCH
Seamlessly mix unlimited stream and batch sources and targets, and perform transforms on the fly, including JDBC streaming
VISUAL DEBUGGING
Test data flows with REPL like data grids
STREAM MANAGEMENT
Automatically create, maintain, optimise dataflow streams
BUSINESS TRANSFORMS
Automatically convert business logic into in-memory distributed compute transforms – for fast data transforms
Automatically handles Change Data Capture
COMPLEX TRANSFORMS
Join unlimited streaming sources
Supports inner and outer joins of streaming sources
Supports complex aggregates of all streaming sources
Ability to automatically replay all transforms associated with late arriving data
PROCESS FLOW MANAGEMENT
Orchestrate relationships and dependencies between multiple dataflow components (sources, transforms, sinks)
SCHEDULING AND MONITORING
Easily manage the execution and scheduling of all pipelines with your preferred scheduler
DATA SOURCES, TRANSFORMS AND SINKS
Connect to any data source, Cloud or file system. Automatically convert SQL and Python business logic scripts into in-memory distributed compute transforms, flowing your data freely to, from and across multiple clouds, on-prem and edges in real time
DATA LINEAGE
Automatic data lineage, slowly changing dimensions, auditing metadata and determining and alerting to schema changes throughout the dataflow
METADATA CATALOGUE
Automatically creates a searchable catalogue for all schemas and dataflows encouraging reuse
AUTOMATIC DATA ESTATE MANAGEMENT
Automatically build and maintain your data lakes and warehouses on any environment
Implements ACID transactions and other traditional data warehouse features automatically on any data engine
ERROR MANAGEMENT
Automatic logging and monitoring of errors and associated directed alerts
ENVIRONMENTS
Run it on any Cloud, on premise and hybrid environments, flowing and managing data
seamlessly across all of them
DIGITAL TRANSFORMATION MADE SIMPLE
Implement robust, production-grade Data Mesh architectures with minimal effort and expense. Seamlessly integrate with your current suite of analytical tools, systems, and dashboards, but now make them a robust and integral part with the rest of your modern data estate
Ask us what IOblend can do for you
Request an in-depth technical discussion and demo today.
