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DBMS > Google Cloud Bigtable vs. OrientDB vs. PouchDB vs. searchxml

System Properties Comparison Google Cloud Bigtable vs. OrientDB vs. PouchDB vs. searchxml

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonOrientDB  Xexclude from comparisonPouchDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Multi-model DBMS (Document, Graph, Key/Value)JavaScript DBMS with an API inspired by CouchDBDBMS for structured and unstructured content wrapped with an application server
Primary database modelKey-value store
Wide column store
Document store
Graph DBMS
Key-value store
Document storeNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitecloud.google.com/­bigtableorientdb.orgpouchdb.comwww.searchxml.net/­category/­products
Technical documentationcloud.google.com/­bigtable/­docswww.orientdb.com/­docs/­last/­index.htmlpouchdb.com/­guideswww.searchxml.net/­support/­handouts
DeveloperGoogleOrientDB LTD; CallidusCloud; SAPApache Software Foundationinformationpartners gmbh
Initial release2015201020122015
Current release3.2.29, March 20247.1.1, June 20191.0
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptC++
Server operating systemshostedAll OS with a Java JDK (>= JDK 6)server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-freeschema-free
Typing infopredefined data types such as float or datenoyesnoyes
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.nononoyes
Secondary indexesnoyesyes infovia viewsyes
SQL infoSupport of SQLnoSQL-like query language, no joinsnono
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScriptC++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoJava, JavascriptView functions in JavaScriptyes infoon the application server
TriggersnoHooksyesno
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 nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocould be achieved with distributed queriesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles; record level security configurablenoDomain, group and role-based access control at the document level and for application services

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Google Cloud BigtableOrientDBPouchDBsearchxml
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