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DBMS > AgensGraph vs. Datomic vs. Drizzle vs. Memgraph vs. Splice Machine

System Properties Comparison AgensGraph vs. Datomic vs. Drizzle vs. Memgraph vs. Splice Machine

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonMemgraph  Xexclude from comparisonSplice Machine  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source graph database built for real-time streaming and compatible with Neo4jOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#333  Overall
#30  Graph DBMS
#146  Relational DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score3.00
Rank#102  Overall
#8  Graph DBMS
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitebitnine.net/­agensgraphwww.datomic.commemgraph.comsplicemachine.com
Technical documentationbitnine.net/­documentationdocs.datomic.commemgraph.com/­docssplicemachine.com/­how-it-works
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperBitnine Global Inc.CognitectDrizzle project, originally started by Brian AkerMemgraph LtdSplice Machine
Initial release20162012200820172014
Current release2.1, December 20181.0.6735, June 20237.2.4, September 20123.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infolimited edition freeOpen Source infoGNU GPLcommercial infoFree license availableOpen Source infoAGPL 3.0, commercial license available
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 languageCJava, ClojureC++C and C++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMFreeBSD
Linux
OS X
LinuxLinux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyesschema-free and schema-optionalyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsnoyes
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIJDBCBolt protocol
Cypher query language
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC
Java
JavaScript
Python
Clojure
Java
C
C++
Java
PHP
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsnoyes infoJava
TriggersnoBy using transaction functionsno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenone infoBut extensive use of caching in the application peersShardingSharding infodynamic graph partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Multi-source replication using RAFTMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infowith snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoPluggable authentication mechanisms infoe.g. LDAP, HTTPUsers, roles and permissionsAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AgensGraphDatomicDrizzleMemgraphSplice Machine
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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AgensGraphDatomicDrizzleMemgraphSplice Machine
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