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DBMS > GridGain vs. Microsoft Azure Table Storage vs. Oracle Rdb vs. PouchDB

System Properties Comparison GridGain vs. Microsoft Azure Table Storage vs. Oracle Rdb vs. PouchDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOracle Rdb  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA Wide Column Store for rapid development using massive semi-structured datasetsJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value store
Relational DBMS
Wide column storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#124  Overall
#22  Key-value stores
#60  Relational DBMS
Score4.86
Rank#65  Overall
#5  Wide column stores
Score1.01
Rank#152  Overall
#74  Relational DBMS
Score2.96
Rank#88  Overall
#16  Document stores
Websitewww.gridgain.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­technetwork/­database/­database-technologies/­rdb/­overview/­index.htmlpouchdb.com
Technical documentationwww.gridgain.com/­docs/­latestpouchdb.com/­guides
DeveloperGridGain Systems, Inc.MicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release2007201219842012
Current releaseGridGain 8.5.17.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaScript
Server operating systemsLinux
OS X
Solaris
Windows
hostedHP Open VMSserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnonono
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noView functions in JavaScript
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-master replication infoalso with CouchDB databases
Master-slave replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnonoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights based on private key authentication or shared access signaturesno

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More resources
GridGainMicrosoft Azure Table StorageOracle RdbPouchDB
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GridGain Systems Named to Inaugural Inc. 5000 Series: California’s Fastest-Growing Private Companies
25 February 2020, Yahoo Finance

Adoption of Digital Integration Hub Architectures Built on the GridGain In-Memory Computing Platform Growing Rapidly
30 January 2020, Yahoo Finance

GridGain Systems Named to Deloitte 2019 Technology Fast 500™ for Second Consecutive Year
18 November 2019, GlobeNewswire

In-Memory Data Grid Market: 2020 Insights, Status, Latest Amendments and Outlook-2026 | Top Players are- Oracle, Gridgain Systems, Scale Out Software, IBM
26 February 2020, News Times

GridGain Experts Explain In-Memory Computing Technology and Benefits, Provide Deployment Insights at Multiple Industry Events
10 September 2019, GlobeNewswire

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12 November 2013, PR Web

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2 October 2009, Nuclear Power Portal

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