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DBMS > SingleStore

SingleStore System Properties

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Editorial information provided by DB-Engines
NameSingleStore infoformer name was MemSQL
DescriptionMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Rank#61  Overall
#34  Relational DBMS
Technical documentationdocs.singlestore.com
DeveloperSingleStore Inc.
Initial release2013
Current release8.5, January 2024
License infoCommercial or Open Sourcecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++, Go
Server operating systemsLinux info64 bit version required
Data schemeyes
Typing infopredefined data types such as float or dateyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyes
SQL infoSupport of SQLyes infobut no triggers and foreign keys
APIs and other access methodsCluster Management API infoas HTTP Rest and CLI
Supported programming languagesBash
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes
Partitioning methods infoMethods for storing different data on different nodesSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlFine grained access control via users, groups and roles
More information provided by the system vendor
SingleStore infoformer name was MemSQL
Specific characteristics

SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed to power today’s data-intensive applications. With SingleStore Managed Service, customers no longer need to worry about managing the  infrastructure, provisioning clusters, handling upgrades or troubleshooting failures. 
And it can be deployed in any of the leading Cloud environments including AWS, Azure and GCP, or in multiple clouds, or directly in a customer datacenter with the Dedicated offering.

It is designed to deliver maximum performance for both transactional (OLTP) and analytical (OLAP) workloads in a single unified engine to drive maximum performance for your modern applications. With SingleStore, you can ingest millions of events per second with ACID transactions using SingleStore Pipelines, while simultaneously delivering blazing-fast SQL queries on billions of rows of data.

SingleStore is a fast, distributed, highly-scalable SQL database for modern applications in the data-intensive era. SingleStore’s specific characteristics include:

Fast operational DBMS with separation of storage and compute: Offers unlimited storage and allows users to effortlessly scale compute resources to meet the needs of any workload while managing storage needs completely independently. The only database to offer separation of storage and compute for both transactions and analytics.

Universal Storage: An innovative database architecture that processes transactional and analytical workloads using a single table type.

Supports All Major Data Types: SingleStore supports all the leading data types including relational, key-value, JSON, geospatial, time series and full-text search.

Tiered Storage Model: SingleStore brings together transactional and analytical workloads on structured, unstructured and semi-structured data with a tiered storage model of memory, SSD, and object storage.

MySQL Compatibility: SingleStore is MySQL wire-protocol-compatible, enabling you to drop it in directly with existing technologies and skills with support for standard SQL, BI and distributed technologies like Amazon S3, Spark, Kafka and Hadoop. 

Relational Engine at Core: Simplifies modern data architectures, reduces complexity and cost by using a battle-tested architecture that is ACID compliant.

Multi-Cloud Support on Major Cloud Providers: Run on multi-cloud, on-prem or hybrid cloud setups with cloud-agnostic deployment to AWS, Azure and Google Cloud Platforms; run data nodes in any datacenter or VPC.

Multi-Cloud With a Single Administrative Control: Organizations can deploy, manage and monitor databases in different CSPs through one single administrative portal.

Data Recovery: SingleStore provides limitless point-in-time recovery for any specific day and time.
Ultra Low-Latency Analytics: SingleStore lets you achieve ultra-fast query response with high concurrency across both live and historical data using familiar ANSI SQL. 

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

Headquartered in San Francisco, CA with offices in Seattle, WA and Portland OR, SingleStore has raised over $300M from top investors including GV, Accel Partners and Khosla Ventures, among others. SingleStore is trusted by customers including Uber, Akamai, Dell EMC, Samsung, Comcast, Kellogg and more.

If you want to work at a company that celebrates diversity, innovation, leadership, and creativity every day, check out our openings on our Careers page and offices here.  
Competitive advantages

SingleStore’s competitive advantages include:

Easy and Simplified Architecture with one unified database for operational and analytical workloads

Performance: Shattering the Trillion-Rows-Per-Second Barrier

Super-Low Latency: sub-second latencies with immediate consistency

High Concurrency: Supporting millions of real-time queries across tens of thousands of users

Fast Analytics: Accelerate analytical performance by 100x

Typical application scenarios

Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting and analytics across all of your operational data including streaming, real-time and historical data. Typical scenarios include real-time applications for retail inventory analytics, portfolio analytics, game play analysis, threat detection and streaming media quality analytics.
  • Real-Time Analytics: Supporting 5 of the top 10 US Banks with fast responsiveness for streaming ingest with instant query responses in under 10-20 ms.
  • Risk Management: With SingleStore, financial services institutions of any size can deliver real-time decisions for their internal and customer-facing applications with a cost-effective, simplified data architecture at 10X at 1/3rd of the cost.
Powering Data-Intensive Applications: Customers use SingleStore to build and scale their internal and external-facing applications, powering some of the most mission-critical applications. Customer use cases include real-time customer analytics, wealth management, risk analytics, cyber security, website analytics, ad analytics, IoT platforms and more. 
  • Internet of Things: supporting solutions at scale like 1.2M smart meters or millions of analytical queries daily across real-time data

Operationalizing ML and AI: SingleStore can power your ML/AI applications with an ultra-fast ingest and query platform that enables real-time model scoring on both streaming and historical data, and vector similarity testing for image matching and other deep learning applications. SingleStore also gives organizations the ability to do monitoring and anomaly detection in real time on rapidly changing data through its innovative real-time ingestion, database, and analytics platform. Typical use cases include real-time fraud detection, facial recognition, predictive analytics for IoT etc. 
  • Monitoring and Detection: helping companies identify and remediate vulnerabilities and dramatically improve performance by 50x, increase scans by 60X from hours to minutes, boost query performance by 20x  speed and 1/3rd of the costs.

Key customers
  • IEX Cloud: Improves Financial Data Distribution Speed 15x with Singlestore DB
  • Comcast, Hulu, Pandora: Fast Analytics in Streaming Media (Comcast with 300k events/second for real-time recommendations)
  • Uber: Real-time analytics w/ massive concurrency to manage 24/7 operations 
  • Tier-1 US Bank: real-time fraud analytics for credit card transactions in under 50ms 
  • Top Energy Company: IoT analytics in need of data ingestion and analysis for 1.2M smart meters for real-time analytics and maintenance at scale
  • Akamai: real-time analytics, higher scalability and efficiency with 12M upserts per second
Market metrics

Customers in various industries worldwide including US and International

Industry Solutions:

Licensing and pricing models

Free Tier and Enterprise Edition

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
SingleStore infoformer name was MemSQL
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Recent citations in the news

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

SingleStore adds indexed vector search to Pro Max release for faster AI work – Blocks and Files
29 January 2024, Blocks & Files

SingleStore Announces Real-time Data Platform to Further Accelerate AI, Analytics and Application Development
24 January 2024, Business Wire

Leveraging SingleStoreDB Cloud Private Connectivity Using AWS PrivateLink | Amazon Web Services
6 December 2023, AWS Blog

Announcing watsonx.ai and SingleStore for generative AI applications
15 November 2023, IBM

provided by Google News

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