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DBMS > Datomic vs. HugeGraph vs. Ingres vs. Memgraph

System Properties Comparison Datomic vs. HugeGraph vs. Ingres vs. Memgraph

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHugeGraph  Xexclude from comparisonIngres  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA fast-speed and highly-scalable Graph DBMSWell established RDBMSAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelRelational DBMSGraph DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Websitewww.datomic.comgithub.com/­hugegraph
hugegraph.apache.org
www.actian.com/­databases/­ingresmemgraph.com
Technical documentationdocs.datomic.comhugegraph.apache.org/­docsdocs.actian.com/­ingresmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCognitectBaiduActian CorporationMemgraph Ltd
Initial release201220181974 infooriginally developed at University Berkely in early 1970s2017
Current release1.0.6735, June 20230.911.2, May 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2.0commercialOpen Source infoBSL 1.1; commercial license for enterprise edition available
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.
Implementation languageJava, ClojureJavaCC and C++
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesyesschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesyesyes
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 infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
Bolt protocol
Cypher query language
Supported programming languagesClojure
Java
Groovy
Java
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsasynchronous Gremlin script jobsyes
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infodepending on used storage backend, e.g. Cassandra and HBaseIngres ReplicatorMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
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 developmentyesnoyes
User concepts infoAccess controlnoUsers, roles and permissionsfine grained access rights according to SQL-standardUsers, roles and permissions
More information provided by the system vendor
DatomicHugeGraphIngresMemgraph
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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DatomicHugeGraphIngresMemgraph
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