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DBMS > AllegroGraph vs. Apache IoTDB vs. EsgynDB vs. Splice Machine

System Properties Comparison AllegroGraph vs. Apache IoTDB vs. EsgynDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache IoTDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteallegrograph.comiotdb.apache.orgwww.esgyn.cnsplicemachine.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlsplicemachine.com/­how-it-works
DeveloperFranz Inc.Apache Software FoundationEsgynSplice Machine
Initial release2004201820152014
Current release8.0, December 20231.1.0, April 20233.1, March 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)LinuxLinux
OS X
Solaris
Windows
Data schemeyes infoRDF schemasyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageyesyes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
Native API
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispyesJava Stored Proceduresyes infoJava
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and SparkyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.noyesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphApache IoTDBEsgynDBSplice Machine
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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