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DBMS > Kinetica vs. NSDb vs. PlanetScale vs. TimesTen vs. Yaacomo

System Properties Comparison Kinetica vs. NSDb vs. PlanetScale vs. TimesTen vs. Yaacomo

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonPlanetScale  Xexclude from comparisonTimesTen  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesScalable, distributed, serverless MySQL database platform built on top of VitessIn-Memory RDBMS compatible to OracleOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.kinetica.comnsdb.ioplanetscale.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlyaacomo.com
Technical documentationdocs.kinetica.comnsdb.io/­Architectureplanetscale.com/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperKineticaPlanetScaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Q2WEB GmbH
Initial release20122017202019982009
Current release7.1, August 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java, ScalaGo
Server operating systemsLinuxLinux
macOS
Docker
Linux
macOS
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Android
Linux
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesyesyes
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.nononono
Secondary indexesyesall fields are automatically indexedyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languageyes infowith proprietary extensionsyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
MySQL protocol
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Java
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsnoyes infoproprietary syntaxPL/SQL
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID at shard levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
KineticaNSDbPlanetScaleTimesTenYaacomo
Recent citations in the news

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Kinetica Delivers Real-Time Vector Similarity Search
22 March 2024, Geospatial World

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

provided by Google News

PlanetScale ends free tier bid, sheds staff in profitability bid
11 March 2024, The Register

PlanetScale Ranked Number 188 Fastest-Growing Company in North America on the 2023 Deloitte Technology Fast ...
8 November 2023, Business Wire

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

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

How to Migrate to PlanetScale's Serverless Database
14 October 2021, The New Stack

provided by Google News



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