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DBMS > Apache Pinot vs. Faircom EDGE vs. Geode vs. PouchDB

System Properties Comparison Apache Pinot vs. Faircom EDGE vs. Geode vs. PouchDB

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGeode  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitepinot.apache.orgwww.faircom.com/­products/­faircom-edgegeode.apache.orgpouchdb.com
Technical documentationdocs.pinot.apache.orgdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlgeode.apache.org/­docspouchdb.com/­guides
DeveloperApache Software Foundation and contributorsFairCom CorporationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation
Initial release2015197920022012
Current release1.0.0, September 2023V3, October 20201.1, February 20177.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaANSI C, C++JavaJavaScript
Server operating systemsAll OS with a Java JDK11 or higherAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesno
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.yesnono
Secondary indexesyesnoyes infovia views
SQL infoSupport of SQLSQL-like query languageyes infoANSI SQL queriesSQL-like query language (OQL)no
APIs and other access methodsJDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesGo
Java
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaScript
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++user defined functionsView functions in JavaScript
Triggersyesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningFile partitioning infoCustomizable business rules for partitioningShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-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 systemImmediate Consistency
Tunable Consistency
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes
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.yesyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights per client and object definableno

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More resources
Apache PinotFaircom EDGE infoformerly c-treeEDGEGeodePouchDB
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