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DBMS > Drizzle vs. EsgynDB vs. Kinetica vs. Microsoft Azure Table Storage vs. OmniSci

System Properties Comparison Drizzle vs. EsgynDB vs. Kinetica vs. Microsoft Azure Table Storage vs. OmniSci

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEsgynDB  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGPU-accelerated database for real-time analysis of large and streaming datasetsA Wide Column Store for rapid development using massive semi-structured datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#264  Overall
#124  Relational DBMS
Score0.56
Rank#199  Overall
#96  Relational DBMS
Score5.00
Rank#65  Overall
#5  Wide column stores
Score2.37
Rank#105  Overall
#51  Relational DBMS
Websiteesgyn.comwww.kinetica.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.omnisci.com
Technical documentationesgyn.com/­developerswww.kinetica.com/­docsdocs.omnisci.com/­latest
DeveloperDrizzle project, originally started by Brian AkerEsgynKineticaMicrosoftMapD Technologies, Inc.
Initial release20082015201220122016
Current release7.2.4, September 20126.0V4
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, JavaC, C++C++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxhostedLinux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLyes infowith proprietary extensionsyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Thrift
Supported programming languagesC
C++
Java
PHP
All languages supporting JDBC/ODBC/ADO.NetC++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsnono
Triggersno infohooks for callbacks inside the server can be used.noyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud serviceSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-master replication between multi datacentersMaster-slave replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users and roles on table levelAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard
More information provided by the system vendor
DrizzleEsgynDBKineticaMicrosoft Azure Table StorageOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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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DrizzleEsgynDBKineticaMicrosoft Azure Table StorageOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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