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

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

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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 Search  Xexclude from comparisonMicrosoft Azure Table Storage  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 serviceSearch-as-a-service for web and mobile app developmentA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Search engineWide column 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
Score6.60
Rank#51  Overall
#6  Search engines
Score5.00
Rank#65  Overall
#5  Wide column stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationsupport.google.com/­gsadocs.microsoft.com/­en-us/­azure/­cosmos-dbdocs.microsoft.com/­en-us/­azure/­search
DeveloperGoogleMicrosoftMicrosoftMicrosoft
Initial release2002201420152012
Current releaseV1
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshostedhostedhosted
Data schemeschema-freeyesschema-free
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
Secondary indexesyes infoAll properties auto-indexed by defaultyesno
SQL infoSupport of SQLnoSQL-like query languagenono
APIs and other access methodsAdministrative API
Browser interface
HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIRESTful HTTP API
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C#
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptnono
TriggersJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
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
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionnooptimistic locking
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.nonono
User concepts infoAccess controlUser authentication via various security protocolsAccess rights can be defined down to the item levelyes infousing Azure authenticationAccess rights based on private key authentication or shared access signatures

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More resources
Google Search ApplianceMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure SearchMicrosoft Azure Table Storage
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.
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