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DBMS > Drizzle vs. JaguarDB vs. Kinetica vs. Microsoft Azure Table Storage vs. Sphinx

System Properties Comparison Drizzle vs. JaguarDB vs. Kinetica vs. Microsoft Azure Table Storage vs. Sphinx

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonJaguarDB  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSphinx  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.Performant, highly scalable DBMS for AI and IoT applicationsFully vectorized database across both GPUs and CPUsA Wide Column Store for rapid development using massive semi-structured datasetsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value store
Vector DBMS
Relational DBMSWide column storeSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.jaguardb.comwww.kinetica.comazure.microsoft.com/­en-us/­services/­storage/­tablessphinxsearch.com
Technical documentationwww.jaguardb.com/­support.htmldocs.kinetica.comsphinxsearch.com/­docs
DeveloperDrizzle project, originally started by Brian AkerDataJaguar, Inc.KineticaMicrosoftSphinx Technologies Inc.
Initial release20082015201220122001
Current release7.2.4, September 20123.3 July 20237.1, August 20213.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoGPL V3.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ infothe server part. Clients available in other languagesC, C++C++
Server operating systemsFreeBSD
Linux
OS X
LinuxLinuxhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonono
Secondary indexesyesyesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyes infowith proprietary extensionsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsnoSQL-like query language (SphinxQL)
APIs and other access methodsJDBCJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIProprietary protocol
Supported programming languagesC
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonouser 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 infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accountsAccess rights for users and roles on table levelAccess rights based on private key authentication or shared access signaturesno

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More resources
DrizzleJaguarDBKineticaMicrosoft Azure Table StorageSphinx
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