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DBMS > Google Search Appliance vs. Microsoft Azure Table Storage vs. OmniSci

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

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.A Wide Column Store for rapid development using massive semi-structured datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelSearch engineWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.81
Rank#90  Overall
#10  Search engines
Score4.79
Rank#66  Overall
#5  Wide column stores
Score2.30
Rank#104  Overall
#50  Relational DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­en-us/­services/­storage/­tableswww.omnisci.com
Technical documentationsupport.google.com/­gsadocs.omnisci.com/­latest
DeveloperGoogleMicrosoftMapD Technologies, Inc.
Initial release200220122016
Current releaseV4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDA
Server operating systemshostedLinux
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 indexesnono
SQL infoSupport of SQLnonoyes
APIs and other access methodsAdministrative API
Browser interface
HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
Google Search ApplianceMicrosoft Azure Table StorageOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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