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DBMS > Drizzle vs. Kinetica vs. Microsoft Azure Cosmos DB vs. SpatiaLite vs. TerarkDB

System Properties Comparison Drizzle vs. Kinetica vs. Microsoft Azure Cosmos DB vs. SpatiaLite vs. TerarkDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTerarkDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsGlobally distributed, horizontally scalable, multi-model database serviceSpatial extension of SQLiteA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Spatial DBMSKey-value store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#204  Overall
#99  Relational DBMS
Score40.82
Rank#26  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.95
Rank#128  Overall
#2  Spatial DBMS
Score0.01
Rank#344  Overall
#54  Key-value stores
Websitewww.kinetica.comazure.microsoft.com/­services/­cosmos-dbwww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­Terark/­terarkdb
Technical documentationwww.kinetica.com/­docsdocs.microsoft.com/­azure/­cosmos-dbwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlgithub.com/­Terark/­terarkdb/­wiki
DeveloperDrizzle project, originally started by Brian AkerKineticaMicrosoftAlessandro FurieriTerark
Initial release20082012201420082016
Current release7.2.4, September 20127.1, August 20215.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial inforestricted open source version available
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, C++C++C++
Server operating systemsFreeBSD
Linux
OS X
Linuxhostedserver-less
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyesno
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 indexesyesyesyes infoAll properties auto-indexed by defaultyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsSQL-like query languageyesno
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
C++ API
Java API
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsJavaScriptnono
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeJavaScriptyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationyes infoImplicit feature of the cloud servicenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoMulti-item ACID transactions with snapshot isolation within a partitionACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelAccess rights can be defined down to the item levelnono
More information provided by the system vendor
DrizzleKineticaMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSpatiaLiteTerarkDB
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
» more
Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more

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More resources
DrizzleKineticaMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSpatiaLiteTerarkDB
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