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DBMS > Drizzle vs. EXASOL vs. JaguarDB vs. Snowflake

System Properties Comparison Drizzle vs. EXASOL vs. JaguarDB vs. Snowflake

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonSnowflake  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Performant, highly scalable DBMS for AI and IoT applicationsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.83
Rank#87  Overall
#44  Relational DBMS
Score0.00
Rank#338  Overall
#60  Key-value stores
Score2.18
Rank#106  Overall
#51  Relational DBMS
Websitewww.exasol.com/­en/­productswww.datajaguar.comwww.snowflake.com
Technical documentationwww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperDrizzle project, originally started by Brian AkerExasolDataJaguar, Inc.Snowflake Computing Inc.
Initial release2008200020152014
Current release7.2.4, September 20122.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ infothe server part. Clients available in other languages
Server operating systemsFreeBSD
Linux
OS X
Linuxhosted
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsJDBC.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
Java
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions
Triggersno infohooks for callbacks inside the server can be used.yesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-master replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesnono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standardrights management via user accountsUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
DrizzleEXASOLJaguarDBSnowflake
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» 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
DrizzleEXASOLJaguarDBSnowflake
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