Data Integration for Hybrid & Multi-Cloud Environments
Spend more time building data smart pipelines, enabling self-service and innovating without the noise. BigConnect Pipelines is an easy-to-use data pipeline engine for streaming, CDC and batch ingestion from any source to any destination.
Build schema-agnostic smart data pipelines with pre-built sources and destinations in minutes for streaming, batch, and change data capture (CDC), using a single, visual tool.
Run your data in a development environment on multiple platforms without rework. Pipelines are platform agnostic by design so you can reuse them across data platforms in hybrid and multi-cloud environments.
Worst case scenario: an upstream change doesn’t break your pipeline, it flows unreliable, incorrect, or unusable data into your analytics platform undetected. Intent-driven pipelines built for data drift, reducing risk of bad data downstream and outages. When data drift happens, pipelines alert you to remediate issues or embrace emergent design.
Import and prepare data for analysis in data warehouses with automatic transformation capabilities.
Ingest unstructured and object data into data lakes from many sources
Import and prepare data for use in modeling and big-data analytics with Hadoop, Kafka, JMS, NoSQL databases for ML and AI.
Enjoy native support for big data and AI by leveraging the BigConnect platform for integrations.
High-performance data transformation
Boxed with features to build, monitor and debug your data pipelines.
Run pipelines in a clustered environment to accelerate your ETL flows
Transform and execute data mappings.with native BigConnect features for super-fast data transfer.
Out-of-the-box integrations
Large library of technologies simplifies integrating sources and targets to give developers more flexibility.
Create data-mapping rules to accelerate development of integration logic and increase productivity.
Best practices to simplify data mapping between systems
Heterogeneous system support
Prebuilt big data connectors for Hadoop, Spark, Hive, Kafka, HBase, Sqoop, Pig, Cassandra, NoSQL databases, and more allow users to integrate any data from any source.
Extensive database support, ERP and CRM systems, B2B systems, flat files, XML, JSON, LDAP, JDBC, ODBC, SaaS, and third-party appliances.
