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

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

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonKdb+  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionDistributed Date Store based on LuceneThe 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 datasets
Primary database modelRelational DBMS
Search engine
Search engineTime Series DBMSWide column store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#190  Overall
#92  Relational DBMS
#13  Search engines
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
Websitecrate.ioenterprise.google.com/­search/­products/­gsa.htmlkx.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationcrate.io/­docssupport.google.com/­gsacode.kx.com
DeveloperCrateGoogleKx Systems, a division of First Derivatives plcMicrosoft
Initial release201320022000 infokdb was released 2000, kdb+ in 20032012
Current release3.6, May 2018
License infoCommercial or Open SourceOpen Sourcecommercialcommercial 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 systemsAll OS with a Java 7 VMLinux
OS X
Solaris
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes infotable attribute 'grouped'no
SQL infoSupport of SQLyes, but no triggers and constraintsnoSQL-like query language (q)no
APIs and other access methodsADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Administrative API
Browser interface
HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
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 proceduresuser defined functionsuser defined functionsno
Triggersnoyes 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 nodesselectable replication factorMaster-slave replicationMaster-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 methodsnonono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynooptimistic 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.nonoyesno
User concepts infoAccess controlrights management via user accountsUser authentication via various security protocolsrights management via user accountsAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
CrateDBGoogle Search ApplianceKdb+Microsoft Azure Table Storage
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
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tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
upon request
» more

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More resources
CrateDBGoogle Search ApplianceKdb+Microsoft Azure Table Storage
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