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DBMS > AllegroGraph vs. BigchainDB vs. Splunk vs. TimesTen vs. XTDB

System Properties Comparison AllegroGraph vs. BigchainDB vs. Splunk vs. TimesTen vs. XTDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBigchainDB  Xexclude from comparisonSplunk  Xexclude from comparisonTimesTen  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAnalytics Platform for Big DataAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeSearch engineRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score0.76
Rank#216  Overall
#36  Document stores
Score93.02
Rank#13  Overall
#2  Search engines
Score1.26
Rank#164  Overall
#75  Relational DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websiteallegrograph.comwww.bigchaindb.comwww.splunk.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlbigchaindb.readthedocs.io/­en/­latestdocs.splunk.com/­Documentation/­Splunkdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.htmlwww.xtdb.com/­docs
DeveloperFranz Inc.Splunk Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005Juxt Ltd.
Initial release20042016200319982019
Current release8.0, December 2023Release 22.11.19, September 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoAGPL v3commercial infoLimited free edition and free developer edition availablecommercialOpen Source infoMIT License
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 languagePythonClojure
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Solaris
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
All OS with a Java 8 (and higher) VM
Linux
Data schemeyes infoRDF schemasschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes, extensible-data-notation format
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 possiblenoyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenono infoSplunk Search Processing Language for search commandsyeslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP API
SPARQL
CLI Client
RESTful HTTP API
HTTP RESTODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
HTTP REST
JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
C
C++
Java
Node.js
PL/SQL
Python
Clojure
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispyesPL/SQLno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorMulti-source replicationMulti-source replication
Source-replica replication
yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes infoby means of logfiles and checkpointsyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyesAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphBigchainDBSplunkTimesTenXTDB infoformerly named Crux
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Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
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Podcast – Gartner AI Hype Cycle – Knowledge Graphs and Neuro-Symbolic AI
24 August 2024

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More resources
AllegroGraphBigchainDBSplunkTimesTenXTDB infoformerly named Crux
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