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DBMS > Altibase vs. Apache Phoenix vs. HugeGraph vs. Sadas Engine vs. Stardog

System Properties Comparison Altibase vs. Apache Phoenix vs. HugeGraph vs. Sadas Engine vs. Stardog

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Phoenix  Xexclude from comparisonHugeGraph  Xexclude from comparisonSadas Engine  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA scale-out RDBMS with evolutionary schema built on Apache HBaseA fast-speed and highly-scalable Graph DBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitealtibase.comphoenix.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.sadasengine.comwww.stardog.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsphoenix.apache.orghugegraph.apache.org/­docswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.stardog.com
DeveloperAltibaseApache Software FoundationBaiduSADAS s.r.l.Stardog-Union
Initial release19992014201820062010
Current releasev7.3, 2023, August 20235.0-HBase2, July 2018 and 4.15-HBase1, December 20190.98.07.3.0, May 2020
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree trial version availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaC++Java
Server operating systemsAIX
HP-UX
Linux
Linux
Unix
Windows
Linux
macOS
Unix
AIX
Linux
Windows
Linux
macOS
Windows
Data schemeyesyes infolate-bound, schema-on-read capabilitiesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono infoImport/export of XML data possible
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLANSI SQL-92yesnoyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBCJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C++
Java
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Groovy
Java
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functionsasynchronous Gremlin script jobsnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnononoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyes infoedges in graphyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers, roles and permissionsAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
AltibaseApache PhoenixHugeGraphSadas EngineStardog
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