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DBMS > AllegroGraph vs. Bangdb vs. Datomic vs. EJDB

System Properties Comparison AllegroGraph vs. Bangdb vs. Datomic vs. EJDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBangdb  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSConverged and high performance database for device data, events, time series, document and graphDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Websiteallegrograph.combangdb.comwww.datomic.comgithub.com/­Softmotions/­ejdb
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.bangdb.comdocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.md
DeveloperFranz Inc.Sachin Sinha, BangDBCognitectSoftmotions
Initial release2004201220122012
Current release8.0, December 2023BangDB 2.0, October 20211.0.6735, June 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoBSD 3commercial infolimited edition freeOpen Source infoGPLv2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, ClojureC
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMserver-less
Data schemeyes infoRDF schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes infostring, integer, double, bool, date, object_id
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.no infobulk load of XML files possiblenono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesno
SQL infoSupport of SQLSPARQL is used as query languageSQL like support with command line toolnono
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIin-process shared library
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Java
Python
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes infoTransaction Functionsno
Triggersyesyes, Notifications (with Streaming only)By using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)none infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate Consistency
Foreign keys infoReferential integritynononono infotypically not needed, however similar functionality with collection joins possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes infoRead/Write Locking
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyes inforecommended only for testing and development
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyes (enterprise version only)nono
More information provided by the system vendor
AllegroGraphBangdbDatomicEJDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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