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DBMS > Apache Phoenix vs. Rockset vs. Spark SQL vs. VoltDB vs. YottaDB

System Properties Comparison Apache Phoenix vs. Rockset vs. Spark SQL vs. VoltDB vs. YottaDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparisonVoltDB  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark 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 memoryA fast and solid embedded Key-value store
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS
Search engine
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitephoenix.apache.orgrockset.comspark.apache.org/­sqlwww.voltdb.comyottadb.com
Technical documentationphoenix.apache.orgdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.voltdb.comyottadb.com/­resources/­documentation
DeveloperApache Software FoundationRocksetApache Software FoundationVoltDB Inc.YottaDB, LLC
Initial release20142019201420102001
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.5.0 ( 2.13), September 202311.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro EditionsOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++ScalaJava, C++C
Server operating systemsLinux
Unix
Windows
hostedLinux
OS X
Windows
Linux
OS X infofor development
Docker
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesdynamic typingyesyesno
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.nono infoingestion from XML files supportednono
Secondary indexesyesall fields are automatically indexednoyesno
SQL infoSupport of SQLyesRead-only SQL queries, including JOINsSQL-like DML and DDL statementsyes infoonly a subset of SQL 99by using the Octo plugin
APIs and other access methodsJDBCHTTP RESTJDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresuser defined functionsnonoJava
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnoneMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infoTransactions are executed single-threaded within stored proceduresoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and organizations can be defined via Rockset consolenoUsers and roles with access to stored proceduresUsers and groups based on OS-security mechanisms

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More resources
Apache PhoenixRocksetSpark SQLVoltDBYottaDB
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