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DBMS > Apache Phoenix vs. SpaceTime vs. Spark SQL vs. Teradata vs. Transbase

System Properties Comparison Apache Phoenix vs. SpaceTime vs. Spark SQL vs. Teradata vs. Transbase

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonSpaceTime  Xexclude from comparisonSpark SQL  Xexclude from comparisonTeradata  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseSpaceTime is a spatio-temporal DBMS with a focus on performance.Spark SQL is a component on top of 'Spark Core' for structured data processingA hybrid cloud data analytics software platform (Teradata Vantage)A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSSpatial DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitephoenix.apache.orgwww.mireo.com/­spacetimespark.apache.org/­sqlwww.teradata.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationphoenix.apache.orgspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.teradata.comwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software FoundationMireoApache Software FoundationTeradataTransaction Software GmbH
Initial release20142020201419841987
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.5.0 ( 2.13), September 2023Teradata Vantage 1.0 MU2, January 2019Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ScalaC and C++
Server operating systemsLinux
Unix
Windows
LinuxLinux
OS X
Windows
hosted
Linux
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesyesyes
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.nononoyesno
Secondary indexesyesnonoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implementedSQL-like DML and DDL statementsyes infoSQL 2016 + extensionsyes
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Python
Java
Python
R
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnonoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingFixed-grid hypercubesyes, utilizing Spark CoreSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Real-time block device replication (DRBD)noneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDyes
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.yesnonoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache PhoenixSpaceTimeSpark SQLTeradataTransbase
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