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DBMS > AllegroGraph vs. OpenTSDB vs. Splice Machine vs. TigerGraph

System Properties Comparison AllegroGraph vs. OpenTSDB vs. Splice Machine vs. TigerGraph

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable Time Series DBMS based on HBaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial 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
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websiteallegrograph.comopentsdb.netsplicemachine.comwww.tigergraph.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlopentsdb.net/­docs/­build/­html/­index.htmlsplicemachine.com/­how-it-worksdocs.tigergraph.com
DeveloperFranz Inc.currently maintained by Yahoo and other contributorsSplice Machine
Initial release2004201120142017
Current release8.0, December 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoLGPLOpen Source infoAGPL 3.0, commercial license availablecommercial
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 languageJavaJavaC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesnumeric data for metrics, strings for tagsyesyes
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 indexesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languagenoyesSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP API
Telnet API
JDBC
Native Spark Datasource
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Erlang
Go
Java
Python
R
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes infoJavayes
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infobased on HBaseShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoAccess rights for users, groups and roles according to SQL-standardRole-based access control
More information provided by the system vendor
AllegroGraphOpenTSDBSplice MachineTigerGraph
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
News

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17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

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9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

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More resources
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