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DBMS > PlanetScale vs. SingleStore vs. TimesTen

System Properties Comparison PlanetScale vs. SingleStore vs. TimesTen

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Editorial information provided by DB-Engines
NamePlanetScale  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionScalable, distributed, serverless MySQL database platform built on top of VitessMySQL 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 typeIn-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.70
Rank#167  Overall
#78  Relational DBMS
Score5.78
Rank#71  Overall
#39  Relational DBMS
Score1.74
Rank#162  Overall
#76  Relational DBMS
Websiteplanetscale.comwww.singlestore.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationplanetscale.com/­docsdocs.singlestore.comdocs.oracle.com/­database/­timesten-18.1
DeveloperPlanetScaleSingleStore Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release202020131998
Current release8.1, May 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnono
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 languageGoC++, Go
Server operating systemsDocker
Linux
macOS
Linux info64 bit version requiredAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyes infobut no triggers and foreign keysyes
APIs and other access methodsADO.NET
JDBC
MySQL protocol
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infoproprietary syntaxyesPL/SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication infostores two copies of each physical data partition on two separate nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at shard levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesFine grained access control via users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
PlanetScaleSingleStore infoformer name was MemSQLTimesTen
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving 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 modelsF ree Tier and Enterprise Edition
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
PlanetScaleSingleStore infoformer name was MemSQLTimesTen
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) 

show all

Conferences and events

SingleStore Now: The Real-Time AI Conference
San Francisco, California, USA, 17 October 2023

Recent citations in the news

PlanetScale forks MySQL to add vector support
3 October 2023, TechCrunch

PlanetScale Joins AWS ISV Accelerate Program
12 June 2023, Business Wire

PlanetScale Named to Fortune 2023 Best Small Workplaces
31 August 2023, Business Wire

10 Lesser-Known Databases. Discover Hidden Gems | by Abnoan ...
3 September 2023, DataDrivenInvestor

PlanetScale Database Migrations for Laravel
5 April 2023, Laravel News

provided by Google News

SingleStore Announces New Real-Time Generative AI Event ...
21 September 2023, Business Wire

Database startup MotherDuck lands $52.5M to grow its DuckDB-based platform
20 September 2023, TechCrunch

Advanced real-time data a potential gamechanger as the enterprise ...
15 September 2023, SiliconANGLE News

Oracle early leader in pointing vectors at business data, say analysts
25 September 2023, The Register

Relational Database Management System Market 2023 ...
29 September 2023, Digital Journal

provided by Google News

Job opportunities

Customer Engineer
PlanetScale, San Francisco, CA

Senior Software Engineer, Fullstack
Attentive Mobile, San Francisco, CA

Solutions Architect
PlanetScale, Oregon

Community engineer
Graphite, New York, NY

Engineering Manager
Attentive Mobile, San Francisco, CA

Software Engineer - Database
MotherDuck, New York, NY

Software Engineer, Database Engine (University Graduate)
SingleStore, San Francisco, CA

Senior Software Engineer, Database Engine
SingleStore, Seattle, WA

Software Engineer - Backend
MotherDuck, Seattle, WA

Account Executive- West Coast
SingleStore, San Francisco, CA

jobs by Indeed



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