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DBMS > Lovefield vs. OmniSci vs. SingleStore

System Properties Comparison Lovefield vs. OmniSci vs. SingleStore

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMySQL 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 DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#275  Overall
#127  Relational DBMS
Score1.27
Rank#153  Overall
#73  Relational DBMS
Score6.66
Rank#59  Overall
#33  Relational DBMS
Websitegoogle.github.io/­lovefieldgithub.com/­omnisci/­omniscidb
www.omnisci.com
www.singlestore.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.omnisci.comdocs.singlestore.com
DeveloperGoogleMapD Technologies, Inc.SingleStore Inc.
Initial release201420162013
Current release2.1.12, February 20175.10, January 20227.6, November 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: 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 languageJavaScriptC++ and CUDAC++, Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxLinux info64 bit version required
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyesyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBC/Thrift
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyes
TriggersUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes 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 infousing MemoryDByesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardFine grained access control via users, groups and roles
More information provided by the system vendor
LovefieldOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SingleStore infoformer name was MemSQL
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesOnly OmniSci allows users to visually and interactively discover high-value patterns,...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosSpatiotemporal and interactive visual analysis on massive, disparate datasets.
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsOmniSci Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more
F ree Tier and Enterprise Edition
» more

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More resources
LovefieldOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SingleStore infoformer name was MemSQL
Conferences and events

Turbocharge Your Open-Source DB to Drive 100x Faster Performance
Webinar, 10am PT, 18 January 2022 (finished)

Recent citations in the news

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

Incredible Growth of GPU Database Market by 2028 | Kinetica, Omnisci, Sqream
4 October 2021, Global Banking And Finance Review

OmniSci Drops OmniSci Free Edition Analytics and Data Science Platform
9 March 2021, Solutions Review

OmniSci Launches Free Edition of Platform to Democratize the Power of Accelerated Analytics
3 March 2021, PRNewswire

The Global GPU Database Market is expected to grow by $ 361.56 mn during 2021-2025, progressing at a CAGR of 17.82% during the forecast period
21 December 2021, Yahoo Finance

provided by Google News

What's Next: Managing Data in Cloud Native Environments – The New Stack
18 January 2022, thenewstack.io

Real-time database platform SingleStore raises $80M more, now at a $940M valuation
8 September 2021, TechCrunch

Database startup SingleStore raises $80M
8 September 2021, VentureBeat

SingleStore says it's the world's first database to support analytical and transactional workloads
23 June 2021, SiliconANGLE News

What's Changed: 2021 Gartner Magic Quadrant for Cloud Database Management Systems
13 January 2022, Solutions Review

provided by Google News

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