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DBMS > Google Search Appliance vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. Stardog

System Properties Comparison Google Search Appliance vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. Stardog

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Globally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasetsEnterprise Knowledge Graph and graph DBMS with high availability and high performance reasoning
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Wide column storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#94  Overall
#10  Search engines
Score31.98
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score5.00
Rank#65  Overall
#5  Wide column stores
Score0.76
Rank#170  Overall
#13  Graph DBMS
#7  RDF stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tableswww.stardog.com
Technical documentationsupport.google.com/­gsadocs.microsoft.com/­en-us/­azure/­cosmos-dbwww.stardog.com/­docs
DeveloperGoogleMicrosoftMicrosoftStardog-Union
Initial release2002201420122010
Current release6.2.3, July 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhostedLinux
macOS
Windows
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes infoJSON typesyesyes
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.nonono infoImport/export of XML data possible
Secondary indexesyes infoAll properties auto-indexed by defaultnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnoSQL-like query languagenoSPARQL is used as query language
APIs and other access methodsAdministrative API
Browser interface
HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptnouser defined functions and aggregates, HTTP Server extensions in Java
TriggersJavaScriptnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-master replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynononoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUser authentication via various security protocolsAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signaturesAccess rights for users and roles
More information provided by the system vendor
Google Search ApplianceMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageStardog
Specific characteristicsStardog is a knowledge graph platform backed by a performant, scalable graph database....
» more
Competitive advantagesStardog is uniquely designed to aid in data integration for your complex data. Benefits...
» more
Typical application scenariosStardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersBosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsStardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsA fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

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More resources
Google Search ApplianceMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageStardog
Recent citations in the news

the only magazine, website and conference dedicated to news, trends and case studies in knowledge management, content management and document management.
9 November 2019, KMWorld Magazine

KMWorld - the only magazine, website and conference dedicated to news, trends and case studies in knowledge management, content management and document management.
9 November 2019, KMWorld Magazine

Cognitive Data Management Market SWOT Analysis by Leading Key Players – IBM, Salesforce, SAP SE, Informatica, SAS
5 November 2019, Galus Australis

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10 June 2019, Motley Fool

What is a Google Search Appliance?
8 January 2014, TechRepublic

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4 November 2019, Air News Paper

Global Document Databases Software Market Strategics Key Players 2019 : MongoDB, Amazon, ArangoDB, Azure Cosmos DB
6 November 2019, Markets Gazette 24

Microsoft bolsters Azure Blockchain with managed tokenization service and updates
4 November 2019, VentureBeat

SQL Server 2019 reaches general availability
4 November 2019, ZDNet

provided by Google News

Get to know Microsoft Azure Cosmos DB use cases
12 November 2019, TechTarget

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

Azure Cosmos DB gets built-in Jupyter notebooks support
1 October 2019, DevClass

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10 January 2019, The Register

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8 February 2019, MarTech Advisor

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