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DBMS > Datomic vs. Neo4j vs. Realm vs. VictoriaMetrics

System Properties Comparison Datomic vs. Neo4j vs. Realm vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonNeo4j  Xexclude from comparisonRealm  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSGraph DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score44.89
Rank#21  Overall
#1  Graph DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.datomic.comneo4j.comrealm.iovictoriametrics.com
Technical documentationdocs.datomic.comneo4j.com/­docsrealm.io/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperCognitectNeo4j, Inc.Realm, acquired by MongoDB in May 2019VictoriaMetrics
Initial release2012200720142018
Current release1.0.6735, June 20235.20, May 2024v1.91, May 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPL version3, commercial licenses availableOpen SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageJava, ClojureJava, ScalaGo
Server operating systemsAll OS with a Java VMLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIBolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesClojure
Java
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoUser defined Procedures and Functionsno inforuns within the applications so server-side scripts are unnecessaryno
TriggersBy using transaction functionsyes infovia event handleryes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyes using Neo4j Fabricnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlynoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 developmentyes infoIn-Memory realmno
User concepts infoAccess controlnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)yes
More information provided by the system vendor
DatomicNeo4jRealmVictoriaMetrics
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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