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DBMS > AllegroGraph vs. Amazon CloudSearch vs. Bangdb vs. Hive vs. TimesTen

System Properties Comparison AllegroGraph vs. Amazon CloudSearch vs. Bangdb vs. Hive vs. TimesTen

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonBangdb  Xexclude from comparisonHive  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA hosted search engine service by Amazon with the data stored in Amazons cloudConverged and high performance database for device data, events, time series, document and graphdata warehouse software for querying and managing large distributed datasets, built on HadoopIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Search engineDocument 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
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.85
Rank#137  Overall
#12  Search engines
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websiteallegrograph.comaws.amazon.com/­cloudsearchbangdb.comhive.apache.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.aws.amazon.com/­cloudsearchdocs.bangdb.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­database/­timesten-18.1
DeveloperFranz Inc.AmazonSachin Sinha, BangDBApache Software Foundation infoinitially developed by FacebookOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20042012201220121998
Current release8.0, December 2023BangDB 2.0, October 20213.1.3, April 202211 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoBSD 3Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java
Server operating systemsLinux
OS X
Windows
hostedLinuxAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyes infoRDF schemasyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes: 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 infoall search fields are automatically indexedyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL like support with command line toolSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP APIProprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Java
Python
C++
Java
PHP
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonoyes infouser defined functions and integration of map-reducePL/SQL
Triggersyesnoyes, Notifications (with Streaming only)nono
Partitioning methods infoMethods for storing different data on different nodeswith Federationyes infoautomatic partitioning across Amazon Search Instance as requiredSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infomanaged transparently by AWSselectable replication factor, Knob for CAP (enterprise version only)selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyesyes infoby means of logfiles and checkpoints
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
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationauthentication via encrypted signaturesyes (enterprise version only)Access rights for users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphAmazon CloudSearchBangdbHiveTimesTen
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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More resources
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