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DBMS > Apache Phoenix vs. BaseX vs. ObjectBox vs. Splice Machine vs. Teradata

System Properties Comparison Apache Phoenix vs. BaseX vs. ObjectBox vs. Splice Machine vs. Teradata

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBaseX  Xexclude from comparisonObjectBox  Xexclude from comparisonSplice Machine  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Extremely fast embedded database for small devices, IoT and MobileOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMSNative XML DBMSObject oriented DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitephoenix.apache.orgbasex.orgobjectbox.iosplicemachine.comwww.teradata.com
Technical documentationphoenix.apache.orgdocs.basex.orgdocs.objectbox.iosplicemachine.com/­how-it-worksdocs.teradata.com
DeveloperApache Software FoundationBaseX GmbHObjectBox LimitedSplice MachineTeradata
Initial release20142007201720141984
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201910.7, August 20233.1, March 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD licenseOpen Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++Java
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
Android
iOS
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
hosted
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesyes
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.nonoyes
Secondary indexesyesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyesnonoyesyes infoSQL 2016 + extensions
APIs and other access methodsJDBCJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Proprietary native APIJDBC
Native Spark Datasource
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
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
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesnoyes infoJavayes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes infovia eventsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
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.yesnoyesyes
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 levelsyesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache PhoenixBaseXObjectBoxSplice MachineTeradata
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More resources
Apache PhoenixBaseXObjectBoxSplice MachineTeradata
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