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DBMS > Apache Phoenix vs. PouchDB vs. Sequoiadb vs. SingleStore

System Properties Comparison Apache Phoenix vs. PouchDB vs. Sequoiadb vs. SingleStore

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonPouchDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseJavaScript DBMS with an API inspired by CouchDBNewSQL database with distributed OLTP and SQLMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSDocument storeDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitephoenix.apache.orgpouchdb.comwww.sequoiadb.comwww.singlestore.com
Technical documentationphoenix.apache.orgpouchdb.com/­guideswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.singlestore.com
DeveloperApache Software FoundationApache Software FoundationSequoiadb Ltd.SingleStore Inc.
Initial release2014201220132013
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.1.1, June 20198.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoServer: AGPL; Client: Apache V2commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaJavaScriptC++C++, Go
Server operating systemsLinux
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxLinux info64 bit version required
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infooid, date, timestamp, binary, regexyes
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.nononono
Secondary indexesyesyes infovia viewsyesyes
SQL infoSupport of SQLyesnoSQL-like query languageyes infobut no triggers and foreign keys
APIs and other access methodsJDBCHTTP REST infoonly for PouchDB Server
JavaScript API
proprietary protocol using JSONCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
JavaScript.Net
C++
Java
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptJavaScriptyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungeShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynosimple password-based access controlFine grained access control via users, groups and roles
More information provided by the system vendor
Apache PhoenixPouchDBSequoiadbSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
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Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
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Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
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Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
Apache PhoenixPouchDBSequoiadbSingleStore infoformer name was MemSQL
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Recent citations in the news

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10 March 2014, SitePoint

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