Apache Cassandra and Apache HBase performance analysis provide a consistent level of performance.

MapR announced the results of the technical review of MapR-DB conducted by the global market research firm ESG (Enterprise Strategy Group).

ESG conducted a comparative analysis with two open-source NoSQL databases to evaluate the performance and scalability of MapR-DB in a cloud environment. ESG analyzed and verified the performance of MapR-DB, Apache Cassandra, and Apache HBase within the same environment. The purpose of the evaluation was to establish a common hardware configuration and configure each database to a consistent level to ensure a fair comparison.

Mike Leone, Senior Validation Analyst at ESG, stated, “When leveraging NoSQL databases to meet the high performance demands of operational analytics workloads, companies seek not only speed but also consistency. This satisfies the requirements of dynamic businesses where customer experience is predictable and real-time response times are key factors,” adding, “ESG has confirmed that MapR-DB provides faster and more consistent performance compared to open-source offerings like HBase and Cassandra in the AWS cloud environment.”

The ESG evaluation was conducted using Yahoo Cloud Serving Benchmark (YCSB) version 0.12. YCSB is an open-source industry-standard framework for evaluating the performance of core components and cloud-based data stores. The evaluation was conducted using the Enhanced Networking Adapter (ENA), recently announced by Amazon EC2, and highlighted MapR-DB's ability to leverage additional cloud resources to enhance application performance.

MapR-DB, part of the MapR Single Data Platform, is a technically advanced enterprise-grade NoSQL database that provides high performance, reliability, and scalability for big data analytics workloads. It offers massive scalability capable of delivering real-time data analytics without incurring the additional costs and complexity associated with traditional database architectures. Through MapR-DB, enterprises can secure a real-time big data analytics platform equipped with multi-modal technology that supports JSON and Open-API capabilities.

“MapR-DB was developed for data-intensive applications. The MapR engineering team designed a data structure that ensures massive scalability and provides consistent low latency to deliver real-time data analytics without incurring the additional costs and complexity associated with traditional database architectures,” said Anoop Dawar, Vice President of Product Marketing and Product Management at MapR. “The positive results verified by the ESG evaluation prove that MapR addresses most of the challenges enterprises have faced when developing data-intensive applications.”