STREAMING DATA PIPELINES
Streaming Data Pipelines
Get your data to the right place, in the right format, at the right time to build data products faster and unlock endless use cases.
Data Pipelines Done Right
Instant decision-making and agile development with uninterrupted streaming, continuous processing and self-service governed data access.
Streaming
Use continuously flowing and evolving high-fidelity real-time data for all your use cases.
Decentralized
Allow teams closest to the data to create and share data streams across the enterprise.
Declarative
Separate data flow and processing logic to optimize cost and performance at scale.
Developer-oriented
Bring software delivery practices to pipelines to experiment, test and deploy with agility.
Governed
Balance self-service access with security and compliance rules by governing end-to-end.
Why ABCIL
Build modern data flows to promote data re-usability, engineering agility and greater collaboration, so more teams can use well-formed data to unlock its full potential.
Bridge the data divide
Power all your operational, analytical and SaaS use cases with high quality real-time data streams.
Speed up time to market
Maintain data contracts and enable self-service search and discovery to trustworthy data products.
Build for performance and scale
Express data flow logic and let the infrastructure flex automatically to process data at scale.
Develop with agility
Easily iterate, evolve and reuse data flows with DevOps toolchain integrations and an open platform.
Maintain trust and compliance
Track where your data goes, how it got there, and who has access to it with end-to-end governance.
Fast and Easy Steps to Build Streaming Data Pipelines
Set up your data pipeline in minutes. Simplify the way you build real-time data flows and share your data everywhere.
1. Connect
Create and manage data flows with an easy-to-use UI and pre-built connectors.
2. Govern
Centrally manage, tag, audit and apply policies for trusted high-quality data streams.
3. Enrich
Use SQL to combine, aggregate, clean, process and shape data in real-time.
4. Build
Prepare well-formatted, trustworthy data products for downstream systems and apps.
5. Share
Securely collaborate on live streams with self-service data discovery and sharing.