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DBMS > AllegroGraph vs. atoti vs. Bangdb vs. Datomic vs. Hive

System Properties Comparison AllegroGraph vs. atoti vs. Bangdb vs. Datomic vs. Hive

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonatoti  Xexclude from comparisonBangdb  Xexclude from comparisonDatomic  Xexclude from comparisonHive  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Converged 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 durabilitydata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Object oriented DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websiteallegrograph.comatoti.iobangdb.comwww.datomic.comhive.apache.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.atoti.iodocs.bangdb.comdocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperFranz Inc.ActiveViamSachin Sinha, BangDBCognitectApache Software Foundation infoinitially developed by Facebook
Initial release2004201220122012
Current release8.0, December 2023BangDB 2.0, October 20211.0.6735, June 20233.1.3, April 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree versions availableOpen Source infoBSD 3commercial infolimited edition freeOpen Source infoApache Version 2
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 languageJavaC, C++Java, ClojureJava
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMAll OS with a Java VM
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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, geospatialyesyes
SQL infoSupport of SQLSPARQL is used as query languageMultidimensional Expressions (MDX)SQL like support with command line toolnoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocol
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Java
Python
Clojure
Java
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispPythonnoyes infoTransaction Functionsyes infouser defined functions and integration of map-reduce
Triggersyesyes, Notifications (with Streaming only)By using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding, horizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnone infoBut extensive use of caching in the application peersSharding
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 peersselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes, optimistic concurrency controlyesyes
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.noyesyes, 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)noAccess rights for users, groups and roles
More information provided by the system vendor
AllegroGraphatotiBangdbDatomicHive
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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