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DBMS > Datomic vs. eXtremeDB vs. HugeGraph vs. Memgraph

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

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonMemgraph  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityNatively in-memory DBMS with options for persistency, high-availability and clusteringA fast-speed and highly-scalable Graph DBMSAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Graph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Websitewww.datomic.comwww.mcobject.comgithub.com/­hugegraph
hugegraph.apache.org
memgraph.com
Technical documentationdocs.datomic.comwww.mcobject.com/­docs/­extremedb.htmhugegraph.apache.org/­docsmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCognitectMcObjectBaiduMemgraph Ltd
Initial release2012200120182017
Current release1.0.7075, December 20238.2, 20210.9
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2.0Open 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, ClojureC and C++JavaC and C++
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Unix
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.nono infosupport of XML interfaces availablenono
Secondary indexesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLnono
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Bolt protocol
Cypher query language
Supported programming languagesClojure
Java
.Net
C
C#
C++
Java
Lua
Python
Scala
Groovy
Java
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesasynchronous Gremlin script jobs
TriggersBy using transaction functionsyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning / shardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infoedges in graphyes 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 datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes, 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 developmentyesyesyes
User concepts infoAccess controlnoUsers, roles and permissionsUsers, roles and permissions
More information provided by the system vendor
DatomiceXtremeDBHugeGraphMemgraph
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Memgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
You can check out our pricing model and licenses on the company website .
» more

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DatomiceXtremeDBHugeGraphMemgraph
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