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DBMS > Citus vs. H2 vs. HarperDB vs. NSDb vs. VictoriaMetrics

System Properties Comparison Citus vs. H2 vs. HarperDB vs. NSDb vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonH2  Xexclude from comparisonHarperDB  Xexclude from comparisonNSDb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.citusdata.comwww.h2database.comwww.harperdb.ionsdb.iovictoriametrics.com
Technical documentationdocs.citusdata.comwww.h2database.com/­html/­main.htmldocs.harperdb.io/­docsnsdb.io/­Architecturedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperThomas MuellerHarperDBVictoriaMetrics
Initial release20102005201720172018
Current release8.1, December 20182.2.220, July 20233.1, August 2021v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infofree community edition availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaNode.jsJava, ScalaGo
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesdynamic schema
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes: int, bigint, decimal, string
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.yes infospecific XML type available, but no XML query functionalitynononono
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesSQL-like data manipulation statementsSQL-like query languageno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
gRPC
HTTP REST
WebSocket
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Java
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1nono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infothe nodes on which a table resides can be definedSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDBUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
CitusH2HarperDBNSDbVictoriaMetrics
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