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

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

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonKdb+  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityThe 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 DBMSSearch engineTime Series DBMSWide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.12
Rank#112  Overall
#54  Relational DBMS
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
Websitewww.datomic.comenterprise.google.com/­search/­products/­gsa.htmlkx.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.datomic.comsupport.google.com/­gsacode.kx.com
DeveloperCognitectGoogleKx Systems, a division of First Derivatives plcMicrosoft
Initial release201220022000 infokdb was released 2000, kdb+ in 20032012
Current release0.9.5951, July 20193.6, May 2018
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial 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 languageJava, Clojureq
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
hosted
Data schemeyesyesschema-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 SQLnonoSQL-like query language (q)no
APIs and other access methodsRESTful HTTP APIAdministrative API
Browser interface
HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
Supported programming languagesClojure
Java
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 infoTransaction Functionsuser defined functionsno
TriggersBy using transaction functionsyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardinghorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMaster-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 systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyesno
User concepts infoAccess controlnoUser 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
DatomicGoogle Search ApplianceKdb+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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More resources
DatomicGoogle Search ApplianceKdb+Microsoft Azure Table Storage
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