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DBMS > Apache Phoenix vs. SAP SQL Anywhere vs. Spark SQL vs. TerminusDB vs. VoltDB

System Properties Comparison Apache Phoenix vs. SAP SQL Anywhere vs. Spark SQL vs. TerminusDB vs. VoltDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitephoenix.apache.orgwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlspark.apache.org/­sqlterminusdb.comwww.voltdb.com
Technical documentationphoenix.apache.orghelp.sap.com/­docs/­SAP_SQL_Anywherespark.apache.org/­docs/­latest/­sql-programming-guide.htmlterminusdb.github.io/­terminusdb/­#docs.voltdb.com
DeveloperApache Software FoundationSAP infoformerly SybaseApache Software FoundationDataChemist Ltd.VoltDB Inc.
Initial release20141992201420182010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917, July 20153.5.0 ( 2.13), September 202311.0.0, January 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoGPL V3Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaProlog, RustJava, C++
Server operating systemsLinux
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
LinuxLinux
OS X infofor development
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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsSQL-like query language (WOQL)yes infoonly a subset of SQL 99
APIs and other access methodsJDBCADO.NET
HTTP API
JDBC
ODBC
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
JavaScript
Python
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyes, in C/C++, Java, .Net or PerlnoyesJava
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark CoreGraph PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication infoDatabase mirroringnoneJournaling StreamsMulti-source 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 Consistency
Foreign keys infoReferential integritynoyesnoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes infoSnapshots and command logging
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-tenancyfine grained access rights according to SQL-standardnoRole-based access controlUsers and roles with access to stored procedures

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More resources
Apache PhoenixSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSpark SQLTerminusDB infoformer name was DataChemistVoltDB
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