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DBMS > Kinetica vs. Microsoft Azure Cosmos DB vs. ObjectBox vs. VictoriaMetrics vs. XTDB

System Properties Comparison Kinetica vs. Microsoft Azure Cosmos DB vs. ObjectBox vs. VictoriaMetrics vs. XTDB

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonObjectBox  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsGlobally distributed, horizontally scalable, multi-model database serviceExtremely fast embedded database for small devices, IoT and MobileA fast, cost-effective and scalable Time Series DBMS and monitoring solutionA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Object oriented DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.kinetica.comazure.microsoft.com/­services/­cosmos-dbobjectbox.iovictoriametrics.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.kinetica.comlearn.microsoft.com/­azure/­cosmos-dbdocs.objectbox.iodocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
www.xtdb.com/­docs
DeveloperKineticaMicrosoftObjectBox LimitedVictoriaMetricsJuxt Ltd.
Initial release20122014201720182019
Current release7.1, August 2021v1.91, May 20231.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache License 2.0Open Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C and C++GoClojure
Server operating systemsLinuxhostedAndroid
iOS
Linux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesyesyes, extensible-data-notation format
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 indexesyesyes infoAll properties auto-indexed by defaultyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenonolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary native APIGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
HTTP REST
JDBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Clojure
Java
Server-side scripts infoStored proceduresuser defined functionsJavaScriptnonono
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeJavaScriptnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceonline/offline synchronization between client and serverSynchronous replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonono
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
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights can be defined down to the item levelyes
More information provided by the system vendor
KineticaMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBObjectBoxVictoriaMetricsXTDB infoformerly named Crux
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