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DBMS > Datomic vs. H2 vs. HarperDB vs. HugeGraph vs. VictoriaMetrics

System Properties Comparison Datomic vs. H2 vs. HarperDB vs. HugeGraph vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonH2  Xexclude from comparisonHarperDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFull-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.A fast-speed and highly-scalable Graph DBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSRelational DBMSDocument storeGraph DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.datomic.comwww.h2database.comwww.harperdb.iogithub.com/­hugegraph
hugegraph.apache.org
victoriametrics.com
Technical documentationdocs.datomic.comwww.h2database.com/­html/­main.htmldocs.harperdb.io/­docshugegraph.apache.org/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCognitectThomas MuellerHarperDBBaiduVictoriaMetrics
Initial release20122005201720182018
Current release1.0.6735, June 20232.2.220, July 20233.1, August 20210.9v1.91, May 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen 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 languageJava, ClojureJavaNode.jsJavaGo
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinux
OS X
Linux
macOS
Unix
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesdynamic schemayes
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyes
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 indexesyesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoyesSQL-like data manipulation statementsnono
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
TinkerPop Gremlin
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesClojure
Java
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
Groovy
Java
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Procedures and User-Defined FunctionsCustom Functions infosince release 3.1asynchronous Gremlin script jobsno
TriggersBy using transaction functionsyesnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneA table resides as a whole on one (or more) nodes in a clusteryes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes infothe nodes on which a table resides can be definedyes infodepending on used storage backend, e.g. Cassandra and HBaseSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and rolesUsers, roles and permissions

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More resources
DatomicH2HarperDBHugeGraphVictoriaMetrics
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