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Speaker Interview: Ankur Raina, Manager, SE, APAC, SingleStore, at BYTES 2023

Speaker Interview: Ankur Raina, Manager, SE, APAC, SingleStore, at BYTES 2023

DataEvents

Question: A while ago SingleStore announced key innovations for the world’s only unified database built for real-time. What are your thoughts on the same?

Answer: SingleStore continues to innovate at a rapid pace to strengthen our position as the leading unified database to power modern real-time applications and analytics. From streaming data ingestion to a unified architecture for transactions and analytics and reliable support for complex queries, the world’s leading brands choose Single- StoreDB every day for its proven ability to power real-time analytics and applications. As part of our recent 8.1 release in May 2023, we launched a number of compelling features including – 100x faster analytics for MongoDB ® apps, six-times faster transactions for wide- tables, and power-packed features across observability, scalability, performance, security, and more!

Some of the notable innovations and capabilities include:

SingleStore Kai™, an API that lets you run up to 100x faster analytics on JSON without having to change queries or refactor your application code written for MongoDB. This feature is now available in public preview and is a game-changer for app developers, enabling you to take advantage of both SQL and MongoDB APIs in a single database engine to power fast, real-time applications. The API essentially enables you to power applications with real-time analytics on collections of JSON documents in SingleStoreDB using the same MongoDB commands. Click here to learn more about SingleStore Kai and the recent benchmarks.

Improving the developer Experience: SingleStore recently rolled out a generative AI assistant and chatbot called SQrL (pronounced squirrel) that enables developers and users to receive immediate, relevant responses to product-related questions. Read more about how we developed this, and try it for yourself here. Also, SingleStoreDB’s new Notebook extends Jupyter Notebooks capabilities to enable data professionals to easily work with SingleStore’s distributed SQL database while providing great extensibility in language and data sources. Notebooks allow users to query SingleStore’s distributed SQL database directly from within the notebook interface — without having to define any connection string, enabling faster and more efficient data exploration and analysis. Read more in our blog here!

Generative AI Capabilities: SingleStoreDB’s vector database functionality not only allows organizations to store and search high-dimensional vectors efficiently — enabling them to build more powerful and accurate machine learning models — but it also provides a single platform for handling both vector databases and traditional relational databases. This eliminates the need to run multiple database types and simplifies the data management process, making it easier and more efficient for organizations to work with diverse datasets and workflows.

Multi-Model capabilities: we previously announced sub-segment access into JSON columns, enabling 400x better throughput and response times when trying to find a few nuggets of JSON data in a column. In this latest release, we also include new JSON functions to make it easier for developers to work with JSON data. From a broader standpoint, SingleStore continues to advance its multi-model capabilities beyond structured data (relational, geospatial, time series) to semistructured data (JSON) and unstructured data (text).

Distributed SQL: 6x Transaction Throughput for Tables with Wide Columns When multiple columns are frequently queried together in a highly selective query, there is an opportunity to improve performance by seeking the entire row, rather than each column. Column Groups are a new type of index we introduced in SingleStoreDB 8.1 to speed up row retrieval, especially from wide tables.

Question: SingleStore has customers across Fortune 500, Forbes Global 2000 and many more fintech, ad-tech, martech and cybertech companies. What’s the primary reason that brings them to SingleStore?

Answer: We are a performance-first database, and some of the key reasons customers trust SingleStore to power their applications and analytics is because of the robust product capabilities that we have built to power today’s applications and infrastructure needs.

SingleStoreDB is a real-time distributed SQL database, designed for modern, real-time, data applications. It delivers extreme performance for both transactional applications (OLTP) and analytical workloads (OLAP). With support for streaming data ingestion (Pipelines), a unique table type that supports both transactions and analytics (Universal Storage), separation of compute and storage (Unlimited Storage), limitless point-in-time recovery (PITR) and a distributed (shared-nothing), MySQL-compatible architecture, SingleStoreDB provides fast-growing companies the ability to build and scale modern, real-time applications and analytics.

Some of the key attributes and differentiators include:

Streaming data pipelines: Deliver real-time analytics with parallel, high-throughput lock-free ingestion with real-time query processing

Analytical performance: SingleStoreDB drives low-latency (low double-digit ms) query responses with high concurrency across both live and historical data using familiar ANSI SQL

Scale-out architecture: Elastic scale-out architecture with distributed massively parallel data processing delivers consistent, predictable response under high ingest and user concurrency

HTAP/ Translytical workloads: Supercharge the development of modern, data-intensive applications with a unified table type for transactions and analytics

Drop-in compatibility: MySQL & MongoDB API wire-protocol compatibility enables easy plug-in directly with existing technologies and skills with support for standard SQL, commonly used BI tools, and technologies like Amazon S3, Spark, Kafka and Hadoop

And all this comes with compelling price-performance. SingleStore customers often report 2-3x better TPC-H performance at a fraction of the cost of multiple technologies for OLTP, OLAP, ETL, NoSQL, etc.

Question: Over the past four years, the Singapore Government spent $12.6 billion on ICT. Did it have any implications on SingleStore?

Answer: Singapore leads the way in digital innovation. Throughout SingleStore’s presence in the Asia-Pacific region over the past two years, Singapore has remained the forefront hub. This is one of the key reasons why SingleStore has chosen to establish its Asia-Pacific headquarters in the country. SingleStore’s cutting-edge technology is gaining prominence as the next generation of database technology, revolutionizing renowned Asian brands such as Singapore’s top consumer bank, e-commerce trading platforms, and cybersecurity organizations. In the era of gen AI adoption, SingleStore stands out as the sole SQL-based database capable of handling noSQL and unstructured data with real-time performance. Additionally, it serves as a vector database, accommodating the storage requirements of gen AI applications.

Question: Industry analysts have suggested that Singapore companies are the most likely in APAC to use data analytics in the near future. What do you think is causing this drive?

Answer: Data, analytics, and now AI are becoming the core of business organizations today in APAC and in the rest of the world. What is driving this is really the need to understand and serve your customers better using data in real-time. We have a number of customers here in APAC who are using data today to enhance their end customer experience, improve their internal business operations, eliminate fraud and risk or drive new revenue streams with SingleStore as the core data and analytics engine.

• Bitwyre a leading cryptocurrency exchange platform powers its ultra-fast trading platform using SingleStore

• Factors.AI Accelerates Query Response 30X and Reduces Analytics Effort from Days to Minutes with SingleStore

• Singapore’s leading consumer bank supercharges its analytical dashboard with Singlestore’s

• SK Telecom in Korea improves their query response time by 100X using SingleStore

Question: What are your expectations from BYTES 2023 – Singapore?

Answer: SingleStore expects BYTES to bring together industry experts from the Data, Analytics, and AI space who are ready to adopt transformative technology and eager to listen and test new solutions that are changing the landscape of the database industry.

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