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DBMS > Apache Phoenix vs. BaseX vs. JanusGraph vs. SpatiaLite vs. Teradata Aster

System Properties Comparison Apache Phoenix vs. BaseX vs. JanusGraph vs. SpatiaLite vs. Teradata Aster

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBaseX  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.A Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Spatial extension of SQLitePlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSNative XML DBMSGraph DBMSSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitephoenix.apache.orgbasex.orgjanusgraph.orgwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationphoenix.apache.orgdocs.basex.orgdocs.janusgraph.orgwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software FoundationBaseX GmbHLinux Foundation; originally developed as Titan by AureliusAlessandro FurieriTeradata
Initial release20142007201720082005
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201910.7, August 20230.6.3, February 20235.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
server-lessLinux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyesyes
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.nononoyes infoin Aster File Store
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesnonoyesyes
APIs and other access methodsJDBCJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Clojure
Java
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresuser defined functionsyesyesnoR packages
Triggersnoyes infovia eventsyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyes infovia Faunus, a graph analytics enginenoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyUsers with fine-grained authorization concept on 4 levelsUser authentification and security via Rexster Graph Servernofine grained access rights according to SQL-standard

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More resources
Apache PhoenixBaseXJanusGraph infosuccessor of TitanSpatiaLiteTeradata Aster
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