Data Integration & ETL
Integrate data from various sources and process it using Blendata's powerful big data engine, optimized with Apache Spark™*. Experience at least 2x faster processing compared to traditional ETL tools.
THE SOLUTION
Faster BI, Smarter Data for Reporting —No More ETL Limits
Faster Processing
Accelerate data processing by at least 2x compared to traditional ETL tools. With our expertise, achieve up to 10x faster performance than in-database processing.
Flexible and Scalable
Easily handle structured, semi-structured, and unstructured data with an architecture that accommodates any data size.
Cost-Efficient
Avoid the high costs of scaling traditional databases or data warehouses. Blendata Lakehouse delivers high performance at a lower total cost of ownership (TCO) compared to traditional solutions.
Highlight Features
Import Data
Collect and connect data from multiple sources—whether replicating or virtualizing— in one centralized location. This includes databases, flat files, logs, cloud storage, and enterprise databases. Supports all well-known databases such as Oracle*, MySQL*, Amazon S3*, and more, without the need for coding.
Data Preparation
Prepare and link data across platforms from various sources or filter datasets using a drag-and-drop interface, eliminating the need for coding. Create new datasets or visualizations effortlessly.
SQL Query
Supports data preparation, transformation, correlation, aggregation, and exploration. Analysts and engineers can query data using familiar syntax with ANSI SQL and Spark SQL* functions, and 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
