October 2018 Summaries

SingleStore is a modern database designed to handle increasing demands on databases, scaling out to support true multiprocessing and responding well to real-time analytics, IoT applications, machine learning, and AI. Unlike legacy databases, SingleStore offers high performance, scalability, and lower costs, making it an attractive option for businesses looking to move past reporting and optimize with operational data. With a strong story in price-performance, SingleStore outperforms Oracle at real customer sites, achieving 10x the performance of Oracle at one-third the cost. The company's modern architecture supports both on-premises hardware and cloud infrastructure, making it an ideal choice for businesses looking to take advantage of innovative techniques to accelerate business performance.

Oracle OpenWorld 2018 took place in San Francisco's South of Market Area (SoMA) where SingleStore showcased its capabilities and highlighted three key takeaways for Oracle users, including the ability to augment or replace existing installations of Exadata and Real Application Clusters with significant performance gains and cost savings.

HOAP databases, such as SingleStore, simplify data architecture while offering improved performance and price. These modern databases combine transaction processing and analytics processing in a single fast and responsive SQL-compliant database. They support business intelligence tools and user queries that require SQL, enabling real-time workloads like operational analytics, fraud detection, and real-time analytics powering dashboards. HOAP databases are gaining traction as digital transformation accelerates, with leaders adopting machine learning and AI, cloud resources, and intelligent personalization of online offerings. SingleStore is a charter member of the HOAP camp, delivering extreme performance, simplicity, and cost-effectiveness through its converged architecture, making it an attractive alternative to traditional OLTP-ETL-OLAP processing chains.

Apache Kafka is widely used to transmit and store messages between applications, and it works well with SingleStore, a fast and scalable database. SingleStore addresses performance problems by providing a familiar SQL interface along with distributed capabilities for fast ingest and high concurrency, making it ideal for "translytical" applications that combine transactions with analytics. It can handle slow data loading, lengthy query execution, and limited user access issues, and it offers solutions such as hybrid operational and analytical processing (HOAP) to reduce latency. SingleStore is flexible, scalable, and compatible with various systems, including Kafka, cloud native environments, virtual machines, and containers, making it a suitable choice for organizations looking to improve their data management.