June 2019 Summaries

SingleStore is well-positioned to power operational analytics by quickly ingesting, analyzing, and acting on both incoming and existing data. Operational analytics is vital for businesses to use real-time data to power predictive analytics, machine learning, and AI, as traditional systems struggle to keep up or don't even try. SingleStore excels in meeting the needs of operational data workloads, offering relational database capabilities, scalability, flexibility, and support for semi-structured JSON data and full-text search. It can ingest from a wide range of sources, handle data from systems of engagement, and provide excellent performance for analytics demands. Companies such as Comcast and Uber find SingleStore vital to meeting their operational analytics requirements, outperforming competitors like MongoDB, Oracle Exadata, and Amazon Aurora in key areas.

The exponential growth in data volume and complexity is driving a new wave of digital transformation, requiring organizations to collect, store, analyze, and operationalize their data to drive value. A Total Economic Impact (TEI) analysis by Forrester showed that SingleStore can bring significant cost savings and benefits to organizations, including reducing legacy database costs, avoiding fraud-related costs, and improving employee productivity in analytics, with a net present value of $11.3M and an ROI of nearly 300%. The benefits of SingleStore compound as customers adopt it for specific use cases and then expand its use more broadly, leading to increased scalability and flexibility. By leveraging SingleStore's capabilities, organizations can achieve accelerated time to insight, scale at low and stable costs, and support SQL queries, ultimately driving business value and growth.

Nikita Shamgunov, CEO of SingleStore, discussed the demands of AI and machine learning data infrastructure in his keynote at the AI Data Science Summit 2019. He highlighted the importance of having the right architecture and data infrastructure for AI, as only 15% of organizations have it, and noted that most AI projects face challenges moving from concept to production due to multi-step workflows. SingleStore can simplify and accelerate these steps by plugging into modern applications and workflows, allowing for automation and real-time responses. The company is currently testing technology that enables rapid response times of 2ms and is working with top US banks on fraud prevention use cases.

SingleStore is a columnstore database that combines rowstore and columnstore data tables in a single, scalable, powerful database with native SQL support. It offers several advantages over other columnstore databases, including excellent performance, low resource utilization, cost savings through compression, and the ability to combine rowstore and columnstore data in one query. SingleStore is free up to four nodes with unlimited disk storage, which makes it an attractive option for businesses that need a powerful database without breaking the bank. It consistently outperforms other free, open-source, and enterprise-grade columnstore databases, supporting ANSI SQL and the MySQL wire protocol, making it easy to integrate with existing tools in the data ecosystem. With its unique compression capabilities and fully distributed nature, SingleStore enables businesses to store more data while reducing storage space costs, and provides a 2-in-1 solution for OLTP and OLAP workloads.