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

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

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonMachbase infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.TimeSeries DBMS for IoT and BigDataGlobally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelSearch engineTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#94  Overall
#10  Search engines
Score0.07
Rank#307  Overall
#23  Time Series DBMS
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
Websiteenterprise.google.com/­search/­products/­gsa.htmlwww.machbase.comazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationsupport.google.com/­gsadoc.machbase.comdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperGoogleMachbaseMicrosoftMicrosoft
Initial release2002201320142012
Current releaseV4.0
License infoCommercial or Open Sourcecommercialcommercial infofree test version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsLinux
Windows
hostedhosted
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes
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 indexesyesyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnoSQL-like query languageSQL-like query languageno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
HTTP REST
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.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
Server-side scripts infoStored proceduresnoJavaScriptno
TriggersnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factoryes 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 methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
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 Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup tableno
User concepts infoAccess controlUser authentication via various security protocolssimple password-based access controlAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
Google Search ApplianceMachbase infoFormer name was InfinifluxMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table Storage
Specific characteristicsMachbase is an extremely fast time series database which processes large volumes...
» more
Competitive advantagesReal-time data processing Machbase processes (i.e. collecting, storing, indexing,...
» more
Typical application scenariosDistributed Query In Machbase Enterprise Edition, a broker node, which is responsible...
» more
Key customersSamsung, POSCO, Hyundai heavy industries, SFA
» more
Market metricsReal-time data processing Real-time index creation Optimized DBMS for processing...
» more
Licensing and pricing modelsMachbase provide several product editions, including: Intelligent Edge Device, Fog...
» more

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More resources
Google Search ApplianceMachbase infoFormer name was InfinifluxMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table Storage
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