Blendata Cloud

A Cloud-Based Big Data Analytics Platform

Seamless Integration with Leading Cloud Providers

Blendata Cloud is compatible with leading cloud providers, such as AWS and Azure, giving businesses the flexibility to select the best infrastructure for their data management and analytics needs.

Simple High-Performance Data Lakehouse Powered by Apache Spark™*

Built on Apache Spark™, Blendata Cloud seamlessly integrates key technologies like Delta Lake* and Apache Airflow®* to enable distributed processing. This architecture delivers efficient data analysis and management, with a low-code environment that simplifies complex workflows.

Flexible Self-Service Resource Model for Cost Efficiency

Offering both Bring Your Own License (BYOL) and Pay-per-Use pricing options, Blendata Cloud maximizes cost efficiency while providing 24/7 technical support.

Open Platform with No Vendor Lock-In

Designed as an open platform, Blendata Cloud supports seamless integration with a wide range of technologies, ensuring freedom and flexibility for your enterprise.

Ensuring Data Security with ISO 27001 Standard

Certified with ISO 27001, Blendata Cloud meets global security standards, ensuring data integrity, privacy, and protection.

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Essential Features in One Place

A Comprehensive, High-Performance Platform Powered by Best-in-Class Technologies

Blendata Cloud combines all essential big data and advanced analytics capabilities—data integration, management, security, processing, analytics, and utilization—into a unified easy-to-use platform. It features a low-code interface and leverages cutting-edge technologies such as Apache Spark™ and Delta Lake.

Efficiently Manage Complex and Diverse Data Sources with a Data Lakehouse

Seamlessly integrate data from databases, log files, cloud storage, and enterprise systems such as Oracle*, MySQL*, and Amazon S3* using built-in connectors. Advanced features like Change Data Capture (CDC) simplify real-time data updates—all without manual coding.

Enterprise-Grade Security and Data Governance

The platform provides enterprise-level security protection features, including role-based access control, data masking and hashing for PII (Personally Identifiable Information) protection, encryption with external KMS support, plus security policies at the column and row levels.

Notebook Interface Supporting PySpark, R, and Scala

Data engineers, data scientists, and ML developers can work in a familiar notebook environment, using popular programming languages like Python, R, Scala, and SQL with Apache Spark™-based library.

SQL Analytics

A versatile SQL editor supports ANSI SQL and Spark SQL, enabling analysts and engineers to perform data exploration, aggregation, correlations, and schedule SQL jobs with ease.

Drag-and-Drop Data Preparation

Easily link, filter, and create datasets from multiple sources with the drag-and-drop function, no coding required. Ideal for super-users and non-technical users alike.

Low-Code Workflow Management

Automate efficient data pipelines from ingestion and SQL script to notebooks and ML/AI utilization. The low-code workflow orchestration interface allows easy scheduling and monitoring without writing complex Python DAGs or scripts.

Built-in Dashboards and Visualization

Easily create custom charts and visualizations from analyzed data with filtering, drill-down options, and secure sharing within your organization via dashboard-style projects.

Connect with Any Third-Party Application via Open Standard APIs

All data and features can be connected through standard REST API or ODBC/JDBC (Spark*), supporting integrations with third-party applications like Tableau* and other BI tools.

No Vendor Lock-In

Powered by open technologies like Apache Spark™ and open data formats like Parquet* and Delta Lake, Blendata Cloud ensures powerful, flexible development and effortless migration, avoiding the restrictions of proprietary platforms.