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DBMS > AllegroGraph vs. Apache IoTDB vs. Kyligence Enterprise vs. Sadas Engine

System Properties Comparison AllegroGraph vs. Apache IoTDB vs. Kyligence Enterprise vs. Sadas Engine

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache IoTDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonSadas Engine  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 FlinkA distributed analytics engine for big data, built on top of Apache KylinSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
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
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websiteallegrograph.comiotdb.apache.orgkyligence.io/­kyligence-enterprisewww.sadasengine.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmliotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperFranz Inc.Apache Software FoundationKyligence, Inc.SADAS s.r.l.
Initial release2004201820162006
Current release8.0, December 20231.1.0, April 20238.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0commercialcommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM (>= 1.8)LinuxAIX
Linux
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 possiblenonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query languageANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
Native API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal 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 replicasnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkyesno
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 integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infomanaged by 'Learn by Usage'
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyesAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
AllegroGraphApache IoTDBKyligence EnterpriseSadas Engine
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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