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DBMS > Apache Phoenix vs. Dolt vs. EsgynDB vs. PouchDB vs. ToroDB

System Properties Comparison Apache Phoenix vs. Dolt vs. EsgynDB vs. PouchDB vs. ToroDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDolt  Xexclude from comparisonEsgynDB  Xexclude from comparisonPouchDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseA MySQL compatible DBMS with Git-like versioning of data and schemaEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionJavaScript DBMS with an API inspired by CouchDBA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitephoenix.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
www.esgyn.cnpouchdb.comgithub.com/­torodb/­server
Technical documentationphoenix.apache.orgdocs.dolthub.compouchdb.com/­guides
DeveloperApache Software FoundationDoltHub IncEsgynApache Software Foundation8Kdata
Initial release20142018201520122016
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20197.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialOpen SourceOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++, JavaJavaScriptJava
Server operating systemsLinux
Unix
Windows
Linux
macOS
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java 7 VM
Data schemeyes infolate-bound, schema-on-read capabilitiesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes infostring, integer, double, boolean, date, object_id
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.nonononono
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsJDBCCLI Client
HTTP REST
ADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.NetJavaScript
Server-side scripts infoStored proceduresuser defined functionsyes infocurrently in alpha releaseJava Stored ProceduresView functions in JavaScript
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infowith a proxy-based framework, named couchdb-loungeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication between multi datacentersMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
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-tenancyOnly one user is configurable, and must be specified in the config file at startupfine grained access rights according to SQL-standardnoAccess rights for users and roles

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More resources
Apache PhoenixDoltEsgynDBPouchDBToroDB
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