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DBMS > EXASOL vs. GridGain vs. JaguarDB vs. Snowflake

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

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGridGain  Xexclude from comparisonJaguarDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GridGain is an in-memory computing platform, built on Apache IgnitePerformant, highly scalable DBMS for AI and IoT applicationsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.09
Rank#92  Overall
#45  Relational DBMS
Score2.16
Rank#116  Overall
#23  Key-value stores
#56  Relational DBMS
Score0.00
Rank#337  Overall
#60  Key-value stores
Score2.73
Rank#101  Overall
#47  Relational DBMS
Websitewww.exasol.com/­en/­productswww.gridgain.comwww.datajaguar.comwww.snowflake.com
Technical documentationwww.exasol.com/­en/­community/­resourceswww.gridgain.com/­docs/­latestwww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperExasolGridGain Systems, Inc.DataJaguar, Inc.Snowflake Computing Inc.
Initial release2000200720152014
Current releaseGridGain 8.5.12.9.4 September 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0commercial
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, C++, .NetC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
Solaris
Windows
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.noyesnoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesJava
Lua
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)nouser defined functions
Triggersyesyes (cache interceptors and events)nono 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 nodesyes (replicated cache)Master-master replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
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.yesyesnono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardSecurity Hooks for custom implementationsrights management via user accountsUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
EXASOLGridGainJaguarDBSnowflake
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
EXASOLGridGainJaguarDBSnowflake
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