
Simplified Big Data Platform

Simplified Apache Spark™* with Low-code
Apache Spark™ is the standard in big data processing, but it typically requires coding skills. Blendata Enterprise's low-code interface allows users to harness Spark without coding, from data integration to utilization, enabling IT teams to leverage big data easily and quickly.

Beyond Comprehensive Solution with Advanced Features
Unlike others requiring multiple tools or open-source solutions, Blendata Enterprise bundles all essential big data features—from data integration and management to advanced analytics and utilization. It also includes rare advanced features like CDC and low-code workflow, all accessible through a single GUI.

Hybrid Deployment Ready
Whether on-premises, in the cloud, or in a hybrid environment. The decision is yours.

Lower Overall TCO
Other platforms often use an all-inclusive licensing model, charging for data storage, feature usage, and infrastructure consumption (CPU, memory, storage). In contrast, we charge only based on the number of vCPUs in the compute cluster. Our decoupled compute and storage architecture significantly reduces hardware needs (10-50 servers vs. 3-10 servers).

Business Users Friendly
Business users often struggle to utilize data from traditional big data platforms due to the requirement for coding and knowledge of technologies like Apache Spark™. Blendata Enterprise offers low to no-code capabilities for effortless data consumption. This enables businesses to support their data-driven strategy cost-effectively through a single platform.

No Vendor Lock-in
Blendata Enterprise utilizes Apache Spark™ as its core engine. it's both powerful and easy to develop, integrate, or migrate data and workloads to other platforms with minimal effort. This stands in contrast to proprietary technologies that restrict customer data and workloads within their ecosystem.

Lower TCO. Faster TTM.
Extracting business value from data swiftly with technology, tools, and our team of experts.
SOLUTIONS
Workloads

Data Lakehouse
Blending the best of data lakes and data warehouses. Unify all your data, processing, analytics, AI/ML and governed it all with enterprise grade security.

Data Integration & ETL
Integrate data from various sources and process it with the power of Blendata's Big Data engine, which leverages Apache Spark™ as its underlying technology, optimized for high performance. Shorten processing times by at least 2x compared to traditional ETL tools.

Interactive SQL Analysis
Streamline your data exploration, processing, or reporting with a familiar grammar, incorporating ANSI SQL and Spark SQL functions. Easily explore, manage, and schedule processing jobs for your data or connect with your choice of BI tools like Tableau*, Qlik*, or PowerBI*.

Advanced Analytics (AI/ML)
From integrating big data, performing processing & analytics, to crafting AI/ML models for advanced analytics solutions. Providing a familiar data scientist experience with a notebook interface that can be controlled through popular coding languages like Python (PySpark)*, R (SparkR)*, Scala/Java, and SQL.

Streaming Analytics
Real-time processing of large streaming data sources like sensors, IoT device data, logs, metrics, and more, using familiar syntax such as SQL or coding with Python, R, Scala, or Java. Achieve real-time data analytics use cases with a robust and efficient platform.

Hadoop Platform Replacement
Discover an alternative big data management solution to traditional Hadoop platforms that delivers equivalent business outcomes while offering cost savings by optimizing a tremendous amount of resources with a Lakehouse architecture.
Industry Solutions
Insights & Activities
Knowledge Sharing

Why Blendata