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DBMS > Datomic vs. Firebase Realtime Database vs. HugeGraph vs. Memgraph

System Properties Comparison Datomic vs. Firebase Realtime Database vs. HugeGraph vs. Memgraph

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  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 durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A fast-speed and highly-scalable Graph DBMSAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelRelational DBMSDocument storeGraph DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasegithub.com/­hugegraph
hugegraph.apache.org
memgraph.com
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasehugegraph.apache.org/­docsmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperCognitectGoogle infoacquired by Google 2014BaiduMemgraph Ltd
Initial release2012201220182017
Current release1.0.7075, December 20230.9
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 servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC and C++
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Unix
Linux
Data schemeyesschema-freeyesschema-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.nononono
Secondary indexesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Bolt protocol
Cypher query language
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
Groovy
Java
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'asynchronous Gremlin script jobs
TriggersBy using transaction functionsCallbacks are triggered when data changesno
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 HBaseSharding 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 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 ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, 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 developmentyesyes
User concepts infoAccess controlnoyes, based on authentication and database rulesUsers, roles and permissionsUsers, roles and permissions
More information provided by the system vendor
DatomicFirebase Realtime DatabaseHugeGraphMemgraph
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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DatomicFirebase Realtime DatabaseHugeGraphMemgraph
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