SingleStoreDB is a real-time distributed SQL database that combines analytical and transactional workloads in one integrated platform. In a new era of increasing AI adoption, making analytics real-time and actionable becomes even more urgent. Today, most of the data stored in the world is in JSON format and MongoDB has grown as one of the most widely adopted NoSQL databases for storing and processing JSON, and is used in martech, IoT, gaming , logistics, social media, e-commerce, and content management applications.
However, document databases are not optimized for analytics, so users often experience slow or laggy query performance when trying to perform analytics on JSON data. In contrast, SingleStoreDB is designed to power real-time analytics on transactional data, allowing users to perform lightning-fast analytics on both structured and semi-structured (JSON) datasets. The new API is compatible with the MongoDB wire protocol, allowing developers to use the same he MongoDB commands to power interactive applications with analytics powered by SingleStoreDB.
SingleStoreDB effectively powers MongoDB as an analytics engine and can power lightning-fast analytics on collections of JSON data. More importantly, this powerful feature is available at no additional charge and is now in public preview as part of the SingleStoreDB Cloud offering.
New API features include:
– 100x to 1,000x faster analysis. SingleStore Kai allows you to perform complex analytics faster and more efficiently on JSON data in MongoDB applications. Based on latest performance benchmarks, SingleStoreDB was able to deliver 100x faster analytical performance for most queries, with some queries being 1,000x faster compared to MongoDB. The SingleStore MongoDB API Proxy translates MongoDB queries into SQL statements executed by SingleStoreDB, driving lightning-fast analytics for your applications.
– AI/Vector features in JSON. The new era of generative AI requires real-time analytics on all data, including JSON collections. SingleStoreDB supports vectors and fast vector similarity searches using the dot_product and euclidean_distance functions. Also, with the release of SingleStore Kai, developers will now be able to leverage vector capabilities and his AI capabilities on his JSON collections within MongoDB to power use cases such as semantic search, image recognition and similarity matching. can.
– Simplicity and ease of use. No code changes, data conversions, schema migrations, or changes to existing queries are required. Developers can continue to use their existing MongoDB queries without the need to normalize or flatten data or undertake extensive schema migrations to power fast analytics for their applications.
– Same MongoDB tools and drivers. By supporting the MongoDB wire protocol, SingleStore Kai enables MongoDB clients to communicate with SingleStoreDB clusters. This means that developers familiar with MongoDB can easily power fast analytics on SingleStoreDB without having to learn a new set of tools or APIs, and use the same MongoDB tools, drivers, and skill sets that customers are most familiar with. , meaning you can continue to use the ecosystem. .
– Easy data replication. As part of the MongoDB API service, SingleStore also introduces a fast and efficient replication solution (in private preview) that allows you to easily replicate your MongoDB collections to SingleStoreDB. The service is natively integrated into SingleStoreDB and leverages one of the most widely used features, SingleStore Pipelines, to drive rapid replication and real-time CDC (change data capture), allowing customers to quickly and Make it easy to get started.
– Best of both worlds (NoSQL + SQL). SingleStoreDB is already compatible with the MySQL wire protocol. The addition of SingleStore Kai for MongoDB essentially gives developers the flexibility and simplicity of the schema of a JSON document store, and the speed, efficiency, and complex analytical capabilities that only a relational SQL database can provide to power their applications. You get the best of both worlds. .
“The demand for real-time analytics is undeniable and critical to today’s economy,” said Raj Verma, CEO of SingleStore. “With SingleStore Kai, any developer using MongoDB’s NoSQL platform will now be able to use SingleStore’s SQL analytical data platform without changing a line of code, resulting in significant performance gains. To do.”
“The reality is that MongoDB isn’t performant enough for fast analytics on JSON, and joining complex JSON arrays can be slow and expensive,” said SingleStore Sr. Vice Product. President Yatharth Gupta said. “With SingleStore Kai, developers have a one-stop-shop for enhancing analytics in their MongoDB applications without recoding or learning anything new. is a big advantage.”
Kumaran Vijayakumar, CEO and co-founder of DataDock Solutions, said: “This is a great solution and timely.” “With DataDock, we help the world’s largest hedge funds configure their products and execute trades. Analytics are now available in real time at the right time, making it easy to process large amounts of data.”
SingleStoreDB powers real-time data innovation for hundreds of customers, including over 100 Fortune 500, Forbes Global 2000, Inc. His 5,000 brands are covered, including financial services and fintech, telecoms and networking, streaming media, ad tech, martech, supply chain logistics, and more. Vertical direction. Companies like 6sense, Cisco, Comcast, Dell, Disney, Heap, Hulu, LiveRamp, NBC, Siemens, SiriusXM/Pandora, Sony, Thorn, Uber, and Western Digital use SingleStoreDB for real-time customer experience analytics and interactive analytics. Enhanced dashboard. .
IDC analyst Karl Olofsson said: “There is a growing demand in the analytical database market to leverage a variety of data, including JSON documents, alongside relational tables within a single system. SingleStore Kai makes analyzing JSON fast and easy within SingleStore’s traditional SQL system. It’s a great example of this kind of use because it can be used to
