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DBMS > Geode vs. HarperDB vs. NSDb vs. PouchDB

System Properties Comparison Geode vs. HarperDB vs. NSDb vs. PouchDB

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonHarperDB  Xexclude from comparisonNSDb  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Scalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeDocument storeTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.55
Rank#248  Overall
#38  Document stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitegeode.apache.orgwww.harperdb.ionsdb.iopouchdb.com
Technical documentationgeode.apache.org/­docsdocs.harperdb.io/­docsnsdb.io/­Architecturepouchdb.com/­guides
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.HarperDBApache Software Foundation
Initial release2002201720172012
Current release1.1, February 20173.1, August 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree community edition availableOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsJava, ScalaJavaScript
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Linux
macOS
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes: int, bigint, decimal, stringno
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 indexesnoyesall fields are automatically indexedyes infovia views
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like data manipulation statementsSQL-like query languageno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
gRPC
HTTP REST
WebSocket
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Java
Scala
JavaScript
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1noView functions in JavaScript
Triggersyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infothe nodes on which a table resides can be definedMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes, using LMDBUsing Apache Luceneyes 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 controlAccess rights per client and object definableAccess rights for users and rolesno

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More resources
GeodeHarperDBNSDbPouchDB
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