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DBMS > AnzoGraph DB vs. H2 vs. HarperDB vs. NSDb vs. VictoriaMetrics

System Properties Comparison AnzoGraph DB vs. H2 vs. HarperDB vs. NSDb vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonH2  Xexclude from comparisonHarperDB  Xexclude from comparisonNSDb  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationFull-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 modelGraph DBMS
RDF store
Relational DBMSDocument storeTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
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
Websitecambridgesemantics.com/­anzographwww.h2database.comwww.harperdb.ionsdb.iovictoriametrics.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.h2database.com/­html/­main.htmldocs.harperdb.io/­docsnsdb.io/­Architecturedocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCambridge SemanticsThomas MuellerHarperDBVictoriaMetrics
Initial release20182005201720172018
Current release2.3, January 20212.2.220, July 20233.1, August 2021v1.91, May 2023
License infoCommercial or Open Sourcecommercial infofree trial version 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 languageJavaNode.jsJava, ScalaGo
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
Linux
macOS
FreeBSD
Linux
macOS
OpenBSD
Data schemeSchema-free and OWL/RDFS-schema supportyesdynamic schema
Typing infopredefined data types such as float or dateyesyes 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.nonononono
Secondary indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesSQL-like data manipulation statementsSQL-like query languageno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
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 languagesC++
Java
Python
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 and aggregatesJava Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1nono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterWith 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 methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnonono
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.yesyesyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
AnzoGraph DBH2HarperDBNSDbVictoriaMetrics
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