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DBMS > Dgraph vs. Neo4j vs. RavenDB vs. Riak TS

System Properties Comparison Dgraph vs. Neo4j vs. RavenDB vs. Riak TS

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonNeo4j  Xexclude from comparisonRavenDB  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelGraph DBMSGraph DBMSDocument storeTime Series DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score44.46
Rank#23  Overall
#1  Graph DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitedgraph.ioneo4j.comravendb.net
Technical documentationdgraph.io/­docsneo4j.com/­docsravendb.net/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperDgraph Labs, Inc.Neo4j, Inc.Hibernating RhinosOpen Source, formerly Basho Technologies
Initial release2016200720102015
Current release5.19, April 20245.4, July 20223.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version3, commercial licenses availableOpen Source infoAGPL version 3, commercial license availableOpen Source
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 languageGoJava, ScalaC#Erlang
Server operating systemsLinux
OS X
Windows
Linux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Data schemeschema-freeschema-free and schema-optionalschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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.nono
Secondary indexesyesyes infopluggable indexing subsystem, by default Apache Luceneyesrestricted
SQL infoSupport of SQLnonoSQL-like query language (RQL)yes, limited
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyes infoUser defined Procedures and FunctionsyesErlang
Triggersnoyes infovia event handleryesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesyesyes using Neo4j FabricShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
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
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlno infoPlanned for future releasesUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)Authorization levels configured per client per databaseno
More information provided by the system vendor
DgraphNeo4jRavenDBRiak TS
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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