Data Lakehouse
Blend the flexibility of data lakes with the performance of data warehouses. Unify all your data, processing, analytics, and AI/ML— and govern it with enterprise-grade security.
THE SOLUTION
Unified + Simplified: Your Big Data and Analytics Platform
All Blended
Centralize all your data for any kind of analytics with simplified, all-in-one tools for data integration, management, analytics, and utilization.
Decoupling + Scalable
Says goodbye to high-cost data lakes and traditional unscalable data warehouses. Benefit from efficient decoupling of compute and storage with a scalable architecture powered by Blendata's optimized Apache Spark™*.
Deploy Anywhere
Deploy on-premises, in the cloud, or in a hybrid environment—whatever suits your infrastructure and business strategy best.
Highlight Features
Data Catalog
Supports advanced data management such as data compaction, data compression, data lifecycle management (hot-warm-cold), data skipping, predicate push-down, dynamic partition pruning, and physical file partitioning. Also enables interlinking across multiple storage locations and tiering across different devices.
Import Data
Collect and connect data from multiple sources (replicate or virtualize) in one centralized platform. Supports importing from databases, flat files, logs, cloud storage, and enterprise databases. Compatible with well-known sources such as Oracle*, MySQL*, Amazon S3*, and more, without the need for coding.
Data Preparation
Prepare, filter, and link data from various sources across platforms using an intuitive drag-and-drop interface, eliminating the need for coding. Easily create new datasets or visualizations tailored to your needs.
SQL Query
Handle data preparation, transformation, correlation, aggregation, and exploration easily. The platform offers a user-friendly interface for querying data using familiar syntax, combining ANSI SQL and Spark SQL* functions. Users can also survey, manage, or schedule processing jobs for their own data.
AI/ML with Notebook Interface
Provides a familiar experience for data engineers and ML developers with a notebook interface that supports all well-known programming languages, such as Python*, R*, Scala, and SQL.
Customers Success
Data-Driven Success
