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DBMS > EsgynDB vs. Google Search Appliance vs. Microsoft Azure Data Explorer vs. Riak KV

System Properties Comparison EsgynDB vs. Google Search Appliance vs. Microsoft Azure Data Explorer vs. Riak KV

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Fully managed big data interactive analytics platformDistributed, fault tolerant key-value store
Primary database modelRelational DBMSSearch engineRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#265  Overall
#125  Relational DBMS
Score2.81
Rank#91  Overall
#10  Search engines
Score2.33
Rank#104  Overall
#50  Relational DBMS
Score5.39
Rank#59  Overall
#9  Key-value stores
Websiteesgyn.comenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­services/­data-explorerbasho.com/­products/­riak-kv
Technical documentationesgyn.com/­developerssupport.google.com/­gsadocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperEsgynGoogleMicrosoftBasho Technologies
Initial release2015200220192009
Current release2.1.0, April 2015
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache version 2, commercial enterprise edition
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 languageC++, JavaErlang
Server operating systemsLinuxhostedLinux
OS X
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesrestricted
SQL infoSupport of SQLyesnoKusto Query Language (KQL), SQL subsetno
APIs and other access methodsADO.NET
JDBC
ODBC
Administrative API
Browser interface
HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresJava Stored ProceduresYes. Languages: KQL, Python, RJavaScript and Erlang
TriggersnoTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.yes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersMaster-slave replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardUser authentication via various security protocolsAzure Active Directory Authenticationno
More information provided by the system vendor
EsgynDBGoogle Search ApplianceMicrosoft Azure Data ExplorerRiak KV
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Licensing and pricing modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» 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
EsgynDBGoogle Search ApplianceMicrosoft Azure Data ExplorerRiak KV
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