SingleStore

What is SingleStore?

SingleStore Kai™ is a pretty neat technology designed to speed up analytics on JSON data within your existing MongoDB applications – we’re talking up to 100 times faster! It comes with an easy-to-use API, meaning you can use the MongoDB commands you already know to get real-time analytics for your apps. The goal here is split-second response times and the ability to scale easily, really boosting analytics performance by a huge amount using that familiar MongoDB API. This also helps you create embeddings and do semantic searches right on the SingleStore platform, all through MongoDB APIs.

Who created SingleStore?

SingleStore Kai™ was developed specifically to make analytics on JSON data within MongoDB applications up to 100 times faster. Its user-friendly API lets developers use the MongoDB commands they’re already comfortable with for real-time analytics. This innovation means you get incredibly fast response times and flexible scalability, improving analytics performance by using the MongoDB API directly on SingleStore.

What is SingleStore used for?

SingleStore is incredibly versatile. Here’s a look at what it’s great for:

• Real-time applications and analytics: Get insights as they happen.
• Streaming data ingestion: It can handle data coming in from all sorts of sources.
• Low-latency queries: Expect millisecond response times, which is super fast.
• Multi-model analytics: It handles relational, JSON, time-series, vector, full-text search, and geospatial data all in one place.
• Faster JSON/BSON analytics: For apps built on MongoDB, SingleStore Kai™ offers 100-1500x faster analytics.
• Universal Store: It acts as a central hub for high-performance analytics on operational data without needing to move it.
• Read replicas: Scale your compute independently.
• Separation of storage and compute: This makes scaling more cost-efficient.
• Boosting analytics: Get up to 100x faster analytics using the lightning-fast MongoDB API with SingleStore Kai™.
• Embeddings and semantic searches: Create these using MongoDB APIs on SingleStore.
• High throughput ingestion: It handles millions of events per second with parallel, lock-free streaming.
• High concurrency: Supports over 100,000 connections.
• Fast vector search: Quickly find relevant vector data.
• Record lookups: Get results in just 1-15ms.
• Blazing-fast analytics: Go beyond just relational data, combining JSON, time-series, vector, full-text search, geospatial, and more.
• Independent compute scaling: Scale compute for different tasks while using a shared database with SingleStore compute workspaces.
• Bottomless storage: Scale compute more affordably and adapt to changing workloads thanks to SingleStore’s storage and compute separation.

Who is SingleStore for?

SingleStore is a great tool for:

• Developers
• Data Analysts
• Data scientists
• Database administrators
• DevOps Engineers

How to use SingleStore?

Ready to dive in? Here’s how to get the most out of SingleStore Kai™:

1. Get started with SingleStore Kai™: Access the tool to enjoy up to 100 times faster analytics on your JSON data within existing MongoDB applications. You’ll be using the MongoDB commands you’re already familiar with.
2. Leverage the API: Use SingleStore Kai™‘s easy-to-use API to really boost real-time analytics for your applications.
3. Experience speed and scalability: SingleStore offers split-second response times and elastic scalability. You can boost your app’s analytics by 100 times, thanks to the super-fast MongoDB API.
4. Create embeddings and search: Unlock the ability to create embeddings and perform semantic searches using MongoDB APIs on SingleStore Kai™. This really adds to your applications’ capabilities.
5. Streamline your analytics: Take advantage of SingleStore Kai™‘s efficient data processing to simplify your JSON data analytics and significantly improve how your MongoDB applications perform.

By following these steps, you can really harness SingleStore Kai™ to optimize analytics for your MongoDB applications and get those valuable real-time insights.