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DBMS > Apache Phoenix vs. Hypertable vs. searchxml vs. Spark SQL vs. VoltDB

System Properties Comparison Apache Phoenix vs. Hypertable vs. searchxml vs. Spark SQL vs. VoltDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonHypertable  Xexclude from comparisonsearchxml  Xexclude from comparisonSpark SQL  Xexclude from comparisonVoltDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn open source BigTable implementation based on distributed file systems such as HadoopDBMS for structured and unstructured content wrapped with an application serverSpark SQL is a component on top of 'Spark Core' for structured data processingDistributed 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 DBMSWide column storeNative XML DBMS
Search engine
Relational DBMSRelational 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#390  Overall
#7  Native XML DBMS
#24  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitephoenix.apache.orgwww.searchxml.net/­category/­productsspark.apache.org/­sqlwww.voltdb.com
Technical documentationphoenix.apache.orgwww.searchxml.net/­support/­handoutsspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.voltdb.com
DeveloperApache Software FoundationHypertable Inc.informationpartners gmbhApache Software FoundationVoltDB Inc.
Initial release20142009201520142010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.9.8.11, March 20161.03.5.0 ( 2.13), September 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache 2.0Open 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 languageJavaC++C++ScalaJava, C++
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
WindowsLinux
OS X
Windows
Linux
OS X infofor development
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.noyesno
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesnoyes
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statementsyes infoonly a subset of SQL 99
APIs and other access methodsJDBCC++ API
Thrift
RESTful HTTP API
WebDAV
XQuery
XSLT
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Java
Perl
PHP
Python
Ruby
C++ infomost other programming languages supported via APIsJava
Python
R
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes infoon the application servernoJava
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor on file system levelyes infosychronisation to multiple collectionsnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnomultiple readers, single writernoACID 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 persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynoDomain, group and role-based access control at the document level and for application servicesnoUsers and roles with access to stored procedures

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More resources
Apache PhoenixHypertablesearchxmlSpark SQLVoltDB
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