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DBMS > Apache Phoenix vs. Atos Standard Common Repository vs. Spark SQL vs. Splunk vs. VoltDB

System Properties Comparison Apache Phoenix vs. Atos Standard Common Repository vs. Spark SQL vs. Splunk vs. VoltDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonSpark SQL  Xexclude from comparisonSplunk  Xexclude from comparisonVoltDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksSpark SQL is a component on top of 'Spark Core' for structured data processingAnalytics Platform for Big DataDistributed 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 DBMSDocument store
Key-value store
Relational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitephoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryspark.apache.org/­sqlwww.splunk.comwww.voltdb.com
Technical documentationphoenix.apache.orgspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.splunk.com/­Documentation/­Splunkdocs.voltdb.com
DeveloperApache Software FoundationAtos Convergence CreatorsApache Software FoundationSplunk Inc.VoltDB Inc.
Initial release20142016201420032010
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917033.5.0 ( 2.13), September 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition availableOpen 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 languageJavaJavaScalaJava, C++
Server operating systemsLinux
Unix
Windows
LinuxLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X infofor development
Data schemeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnoyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsno infoSplunk Search Processing Language for search commandsyes infoonly a subset of SQL 99
APIs and other access methodsJDBCLDAPJDBC
ODBC
HTTP RESTJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsJava
Python
R
Scala
C#
Java
JavaScript
PHP
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsnonoyesJava
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynonononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID 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.yesyesnono
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationnoAccess rights for users and rolesUsers and roles with access to stored procedures

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More resources
Apache PhoenixAtos Standard Common RepositorySpark SQLSplunkVoltDB
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