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DBMS > Geode vs. HBase vs. PouchDB vs. TimesTen

System Properties Comparison Geode vs. HBase vs. PouchDB vs. TimesTen

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesWide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDBIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value storeWide column storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score2.28
Rank#115  Overall
#21  Document stores
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitegeode.apache.orghbase.apache.orgpouchdb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgeode.apache.org/­docshbase.apache.org/­book.htmlpouchdb.com/­guidesdocs.oracle.com/­database/­timesten-18.1
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Apache Software Foundation infoApache top-level project, originally developed by PowersetApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2002200820121998
Current release1.1, February 20172.3.4, January 20217.1.1, June 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScript
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes
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 indexesnonoyes infovia viewsyes
SQL infoSupport of SQLSQL-like query language (OQL)nonoyes
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScriptC
C++
Java
PL/SQL
Server-side scripts infoStored proceduresuser defined functionsyes infoCoprocessors in JavaView functions in JavaScriptPL/SQL
Triggersyes infoCache Event Listenersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights per client and object definableAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnofine grained access rights according to SQL-standard

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GeodeHBasePouchDBTimesTen
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