SingleStore
4.17
0
SingleStore Kai™ accelerates MongoDB analytics by 100 times, enabling real-time insights with an easy-to-use API.
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:
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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.
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Utilize the easy-to-use API provided by SingleStore Kai™ to enhance real-time analytics for your applications.
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Experience split-second response times and elastic scalability with SingleStore, boosting analytics on your apps by 100 times through the lightning-fast MongoDB API.
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Unlock the capability to create embeddings and perform semantic searches using MongoDB APIs on SingleStore Kai™, enhancing the overall functionality of your applications.
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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.
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.
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
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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.
Get started with SingleStore
SingleStore reviews
Liam Harrison
December 2, 2024
What do you like most about using SingleStore?
The speed of analytics is impressive; I’ve noticed a significant reduction in query response times compared to our previous MongoDB setup.
What do you dislike most about using SingleStore?
The documentation could be more comprehensive. Sometimes, I find it challenging to troubleshoot specific issues without thorough guidelines.
What problems does SingleStore help you solve, and how does this benefit you?
SingleStore helps us handle larger datasets efficiently, allowing for real-time insights that are crucial for our analytics. This has improved our decision-making processes.
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Anika Patel
November 26, 2024
What do you like most about using SingleStore?
The ability to use familiar MongoDB commands makes transitioning to SingleStore seamless. It saves a lot of time for our developers.
What do you dislike most about using SingleStore?
Although it’s generally user-friendly, I think the initial setup process could be simplified for new users.
What problems does SingleStore help you solve, and how does this benefit you?
It significantly speeds up our JSON data analytics, allowing us to deliver insights to our clients much faster, thus improving client satisfaction.
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Jakov Novak
November 30, 2024
What do you like most about using SingleStore?
The performance boost is unbelievable! Our data processing times have gone down drastically, making it a game changer for our analytics.
What do you dislike most about using SingleStore?
Sometimes, I wish there were more integration options with other databases we use.
What problems does SingleStore help you solve, and how does this benefit you?
We can now perform complex analytics on large datasets in real time, which has transformed our operational capabilities and strategic planning.
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