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

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

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonKdb+  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.High performance Time Series DBMSA Wide Column Store for rapid development using massive semi-structured datasetsAn open-source GraphQL-based Smart Graph with the core features: semantic search, automatic classification, and knowledge representation
Primary database modelSearch engineTime Series DBMSWide column storeGraph DBMS
Secondary database modelsRelational DBMSSearch engine
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
Score4.86
Rank#65  Overall
#5  Wide column stores
Score0.07
Rank#299  Overall
#29  Graph DBMS
Websiteenterprise.google.com/­search/­products/­gsa.htmlkx.comazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­semi-technologies/­weaviate
www.semi.technology/­products/­weaviate.html
Technical documentationsupport.google.com/­gsacode.kx.comwww.semi.technology/­documentation/­weaviate/­current
DeveloperGoogleKx Systems, a division of First Derivatives plcMicrosoftSeMI Technologies B.V.
Initial release20022000 infokdb was released 2000, kdb+ in 200320122017
Current release3.6, May 20180.22, January 2020
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqGo
Server operating systemsLinux
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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.noyesnono
Secondary indexesyes infotable attribute 'grouped'noyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL-like query language (q)noGraphQL is used as query language
APIs and other access methodsAdministrative API
Browser interface
HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.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 infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingno
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.noyesnono
User concepts infoAccess controlUser authentication via various security protocolsrights management via user accountsAccess rights based on private key authentication or shared access signaturesOpenID Connect Discovery
More information provided by the system vendor
Google Search ApplianceKdb+Microsoft Azure Table StorageWeaviate
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
News

Weaviate in IEEE

Weaviate on DB-engines.com

Introduction & Demo video

FLOSS Weekly Podcast

FOSDEM 2020 video

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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+Microsoft Azure Table StorageWeaviate
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