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DBMS > Apache Pinot vs. CouchDB vs. Google Cloud Datastore vs. Ingres vs. PouchDB

System Properties Comparison Apache Pinot vs. CouchDB vs. Google Cloud Datastore vs. Ingres vs. PouchDB

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIngres  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformWell established RDBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument storeDocument storeRelational DBMSDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score4.47
Rank#76  Overall
#12  Document stores
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitepinot.apache.orgcouchdb.apache.orgcloud.google.com/­datastorewww.actian.com/­databases/­ingrespouchdb.com
Technical documentationdocs.pinot.apache.orgdocs.couchdb.org/­en/­stablecloud.google.com/­datastore/­docsdocs.actian.com/­ingrespouchdb.com/­guides
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleActian CorporationApache Software Foundation
Initial release2015200520081974 infooriginally developed at University Berkely in early 1970s2012
Current release1.0.0, September 20233.3.3, December 202311.2, May 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2commercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangCJavaScript
Server operating systemsAll OS with a Java JDK11 or higherAndroid
BSD
Linux
OS X
Solaris
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyes, details hereyesno
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.nonono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyes infovia viewsyesyesyes infovia views
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language (GQL)yesno
APIs and other access methodsJDBCRESTful HTTP/JSON APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresView functions in JavaScriptusing Google App EngineyesView functions in JavaScript
TriggersyesCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoimproved architecture with release 2.0Shardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslySharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using PaxosIngres ReplicatorMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
Apache PinotCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Google Cloud DatastoreIngresPouchDB
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