SingleStore

0.00

SingleStore Kai™ accelerates MongoDB analytics by 100 times, enabling real-time insights with an easy-to-use API.

Visit website

What is SingleStore?

SingleStore Kai™ is a technology designed to enable up to 100 times faster analytics on JSON data within existing MongoDB applications. It offers an easy-to-use API that allows developers to leverage familiar MongoDB commands to achieve real-time analytics for their applications. SingleStore Kai™ aims to provide split-second response times and elastic scalability, boosting analytics performance on applications by 100 times through the fast MongoDB API, facilitating the creation of embeddings and semantic searches using MongoDB APIs on the SingleStore platform .

Who created SingleStore?

SingleStore Kai™ was created to accelerate analytics on JSON data within MongoDB applications by up to 100 times. The easy-to-use API enables developers to leverage familiar MongoDB commands for real-time analytics in their applications. This innovation allows for lightning-fast response times and elastic scalability, enhancing analytics by utilizing the MongoDB API on SingleStore.

What is SingleStore used for?

Real-time applications and analytics with SingleStore
Streaming data ingestion from diverse sources
Low-latency queries with millisecond performance
Multi-model analytics on relational, JSON, time-series, vector, full-text search, and geospatial data
100-1500x faster JSON/BSON analytics for applications built on MongoDB with SingleStore Kai™
Universal Store for high-performance analytics on operational data without data movement
Read replicas for independent scaling of compute
Separation of storage and compute for cost-efficient scaling
Boost analytics by 100x with the lightning-fast MongoDB API on SingleStore Kai™
Create embeddings and perform semantic searches using MongoDB APIs on SingleStore
Real-time applications and analytics
Streaming data ingestion
High throughput, parallel, lock-free streaming ingestion
Low-latency queries
Multi-model analytics
Universal Store for high-performance analytics on operational data
Boost analytics on apps using the lightning-fast MongoDB API
Creation of embeddings and semantic searches with MongoDB APIs on SingleStore
High-performance analytics on operational data with Universal Store
Separation of storage and compute for cost-efficiency
Elastic scalability with up to 100x faster analytics on JSON data within existing MongoDB applications
Boosting analytics on apps by 100x using the MongoDB API
Creating embeddings and performing semantic searches using MongoDB APIs on SingleStore
Real-time applications
Universal Store for analytics on operational data
Read replicas for independent scaling
Separation of storage and compute
High concurrency with 100k+ connections
Fast vector search
Record lookups in 1-15ms
Boost analytics on apps by 100x with the lightning-fast MongoDB API
Experience split-second response times and elastic scalability
Perform semantic searches using MongoDB APIs on SingleStore
Drive blazing-fast analytics on more than just relational data by combining JSON, time-series, vector, full-text search, geospatial, and more
Achieve 100-1500x faster JSON/BSON analytics for applications built on MongoDB
High throughput, parallel, lock-free streaming ingestion of millions of events per second
Millisecond query performance outstripping the top data warehouses on popular analytical benchmarks
Deliver high-performance analytics on operational data in real time without data movement
Independent scaling of compute for different workloads while utilizing a shared database with SingleStore compute workspaces
Get bottomless storage to scale compute more cost-efficiently and meet the needs of dynamically changing workloads with the separation of storage and compute in SingleStore
Up to 100x faster analytics on JSON data within existing MongoDB applications
Real-time analytics for applications
AI code reviews and bug fixes
Boost analytics on apps by 100x with the MongoDB API

Who is SingleStore for?

Developers
Data Analysts
Data scientists
Database administrators
DevOps Engineers

How to use SingleStore?

To use SingleStore Kai™ effectively, follow these steps:

Start by accessing the SingleStore Kai™ tool, which enables up to 100 times faster analytics on JSON data within existing MongoDB applications, using familiar MongoDB commands.
Utilize the easy-to-use API provided by SingleStore Kai™ to enhance real-time analytics for your applications.
Experience split-second response times and elastic scalability with SingleStore, boosting analytics on your apps by 100 times through the lightning-fast MongoDB API.
Unlock the capability to create embeddings and perform semantic searches using MongoDB APIs on SingleStore Kai™, enhancing the overall functionality of your applications.
Take advantage of the efficient data processing capabilities of SingleStore Kai™ to streamline your analytics on JSON data and improve the performance of your MongoDB applications significantly.

By following these steps, you can harness the power of SingleStore Kai™ to optimize analytics on your MongoDB applications and achieve real-time insights effectively.

Pros

Streaming data ingestion - High throughput, parallel, lock-free streaming ingestion up to millions of events per second
Fast vector search 2-3x faster.
High concurrency with 100k+ connections.
The simplest database to power your most complex SQL, JSON, and vector workloads.
Separation of storage and compute - Get bottomless storage to scale compute more cost-efficiently and meet the needs of dynamically changing workloads
Read replicas - SingleStore compute workspaces allow independent scaling of compute for different workloads while utilizing a shared database
Universal Store - SingleStore's unique Universal Storage combines the fast scan performance of a columnstore and the CRUD performance of a rowstore database
Multi-model - Drive blazing-fast analytics on more than just relational data by combining JSON, time-series, vector, full-text search, geospatial and more
Low-latency queries - Millisecond query performance that outstrips the performance of top data warehouses on popular analytical benchmarks
Record lookups in 1-15 ms.
Ability to build real-time applications and analytics with SingleStore
Separation of storage and compute for cost-efficiency
Read replicas for independent scaling
Universal Store for high-performance analytics on operational data
Low-latency queries with millisecond performance

Cons

No specific cons or missing features were identified in the document provided.
Not enough information provided in the documents to determine specific cons of using SingleStore Kai™.
The documentation could be improved, and some concepts are not explained very well
The interface could be more user-friendly
No specific cons mentioned in the provided files.

Pros

Cons

Streaming data ingestion - High throughput, parallel, lock-free streaming ingestion up to millions of events per second
Fast vector search 2-3x faster.
High concurrency with 100k+ connections.
The simplest database to power your most complex SQL, JSON, and vector workloads.
Separation of storage and compute - Get bottomless storage to scale compute more cost-efficiently and meet the needs of dynamically changing workloads
Read replicas - SingleStore compute workspaces allow independent scaling of compute for different workloads while utilizing a shared database
Universal Store - SingleStore's unique Universal Storage combines the fast scan performance of a columnstore and the CRUD performance of a rowstore database
Multi-model - Drive blazing-fast analytics on more than just relational data by combining JSON, time-series, vector, full-text search, geospatial and more
Low-latency queries - Millisecond query performance that outstrips the performance of top data warehouses on popular analytical benchmarks
Record lookups in 1-15 ms.
Ability to build real-time applications and analytics with SingleStore
Separation of storage and compute for cost-efficiency
Read replicas for independent scaling
Universal Store for high-performance analytics on operational data
Low-latency queries with millisecond performance

No specific cons or missing features were identified in the document provided.
Not enough information provided in the documents to determine specific cons of using SingleStore Kai™.
The documentation could be improved, and some concepts are not explained very well
The interface could be more user-friendly
No specific cons mentioned in the provided files.

SingleStore Pricing and plans

Paid plans start at $574.9/month and include:

Transactions
Analytics
Search
Streaming ingestion + fast writes
High concurrency
Fast vector search

SingleStore FAQs

Do you use SingleStore Kai™?: SingleStore Kai enables up to 100x faster analytics on JSON data within existing MongoDB applications. The easy-to-use API for MongoDB enables developers to use familiar MongoDB commands to achieve real-time analytics for their applications.

What is SingleStore Kai™?: SingleStore Kai enables up to 100x faster analytics on JSON data within existing MongoDB applications. The easy-to-use API for MongoDB enables developers to use familiar MongoDB commands to achieve real-time analytics for their applications.

Experience split-second response times and elastic scalability with SingleStore. Boost analytics on your apps by 100x with the lightning-fast MongoDB API. Unlock the ability to create embeddings and perform semantic searches using MongoDB APIs on SingleStore.: SingleStore enables up to 100x faster analytics on JSON data within existing MongoDB applications. Boost analytics on apps by 100x with the lightning-fast MongoDB API for split-second response times and elastic scalability. Allows creating embeddings and performing semantic searches using MongoDB APIs on SingleStore.