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

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

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Editorial information provided by DB-Engines
NameGoogle Search Appliance  Xexclude from comparisonHBase  Xexclude from comparisonKdb+  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Wide-column store based on Apache Hadoop and on concepts of BigTableHigh performance Time Series DBMSA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelSearch engineWide column storeTime Series DBMSWide 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
Score52.95
Rank#20  Overall
#2  Wide column stores
Score5.38
Rank#59  Overall
#2  Time Series DBMS
Score4.86
Rank#65  Overall
#5  Wide column stores
Websiteenterprise.google.com/­search/­products/­gsa.htmlhbase.apache.orgkx.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationsupport.google.com/­gsahbase.apache.orgcode.kx.com
DeveloperGoogleApache Software Foundation infoApache top-level project, originally developed by PowersetKx Systems, a division of First Derivatives plcMicrosoft
Initial release200220082000 infokdb was released 2000, kdb+ in 20032012
Current release2.2.0, June 20193.6, May 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercial infofree 32-bit versioncommercial
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 languageJavaq
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes
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.nonoyesno
Secondary indexesnoyes infotable attribute 'grouped'no
SQL infoSupport of SQLnonoSQL-like query language (q)no
APIs and other access methodsAdministrative API
Browser interface
HTTP API
Java API
RESTful HTTP API
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C
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 proceduresyes infoCoprocessors in Javauser defined functionsno
Triggersyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
Master-slave replication
Master-slave replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nooptimistic 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.noyesyesno
User concepts infoAccess controlUser authentication via various security protocolsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACrights management via user accountsAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
Google Search ApplianceHBaseKdb+Microsoft 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 ApplianceHBaseKdb+Microsoft Azure Table Storage
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So Long Google Search Appliance
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