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DBMS > Google Search Appliance vs. Kdb+ vs. Manticore Search vs. Microsoft Azure Table Storage

System Properties Comparison Google Search Appliance vs. Kdb+ vs. Manticore Search vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonKdb+  Xexclude from comparisonManticore 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.High performance Time Series DBMSOpen source search engine for searching in data from different sources. Forked of and compatible with Sphinx.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelSearch engineTime Series DBMSSearch engineWide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.77
Rank#90  Overall
#10  Search engines
Score5.38
Rank#59  Overall
#2  Time Series DBMS
Score0.08
Rank#290  Overall
#17  Search engines
Score4.86
Rank#65  Overall
#5  Wide column stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlkx.commanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationsupport.google.com/­gsacode.kx.comdocs.manticoresearch.com/­latest/­html
github.com/­manticoresoftware/­manticoresearch
DeveloperGoogleKx Systems, a division of First Derivatives plcManticore SoftwareMicrosoft
Initial release20022000 infokdb was released 2000, kdb+ in 200320172012
Current release3.6, May 2018
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versionOpen Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyes
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.noyesno
Secondary indexesyes infotable attribute 'grouped'yes infofull-text index on all search fieldsno
SQL infoSupport of SQLnoSQL-like query language (q)SQL-like query languageno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary protocolRESTful HTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyes infowith viewsnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUser authentication via various security protocolsrights management via user accountsnoAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
Google Search ApplianceKdb+Manticore SearchMicrosoft Azure Table Storage
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Search ApplianceKdb+Manticore SearchMicrosoft Azure Table Storage
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