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DBMS > AllegroGraph vs. BigchainDB vs. TigerGraph vs. TimesTen

System Properties Comparison AllegroGraph vs. BigchainDB vs. TigerGraph vs. TimesTen

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBigchainDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeIn-Memory RDBMS compatible to Oracle
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document storeGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.24
Rank#156  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score0.80
Rank#193  Overall
#30  Document stores
Score2.02
Rank#120  Overall
#9  Graph DBMS
Score1.79
Rank#129  Overall
#64  Relational DBMS
Websiteallegrograph.comwww.bigchaindb.comwww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlbigchaindb.readthedocs.io/­en/­latestdocs.tigergraph.comdocs.oracle.com/­database/­timesten-18.1
DeveloperFranz Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2004201620171998
Current release7.2, October 202111 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoAGPL v3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++
Server operating systemsLinux
OS X
Windows
LinuxLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 possiblenonono
Secondary indexesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like query language (GSQL)yes
APIs and other access methodsRESTful HTTP API
SPARQL
CLI Client
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispyesPL/SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes 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.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyesRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphBigchainDBTigerGraphTimesTen
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersFour out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Market metricsANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsTry TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more
News

Authentic Meets Artificial – The New Intelligence – DM Radio Broadcast
13 January 2022

Embedding Gruff In a Web Page
10 January 2022

AllegroGraph Named 2022 “Trend Setter”
3 January 2022

Predictions: Quantum AI, Graph Neural Networks, and Personal Data Pods
16 December 2021

Franz Inc. Announces AllegroGraph Has No Log4j Security Exposure
14 December 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphBigchainDBTigerGraphTimesTen
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