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DBMS > Apache Pinot vs. Geode vs. Pinecone vs. PouchDB

System Properties Comparison Apache Pinot vs. Geode vs. Pinecone vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGeode  Xexclude from comparisonPinecone  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA managed, cloud-native vector databaseJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSKey-value storeVector DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitepinot.apache.orggeode.apache.orgwww.pinecone.iopouchdb.com
Technical documentationdocs.pinot.apache.orggeode.apache.org/­docsdocs.pinecone.io/­docs/­overviewpouchdb.com/­guides
DeveloperApache Software Foundation and contributorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Pinecone Systems, IncApache Software Foundation
Initial release2015200220192012
Current release1.0.0, September 20231.1, February 20177.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScript
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesString, Number, Booleanno
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
Secondary indexesnoyes infovia views
SQL infoSupport of SQLSQL-like query languageSQL-like query language (OQL)nono
APIs and other access methodsJDBCJava Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
PythonJavaScript
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScript
Triggersyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes 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.yesnoyes
User concepts infoAccess controlAccess rights per client and object definableno

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