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DBMS > EJDB vs. EXASOL vs. JaguarDB vs. Snowflake

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

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)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 modelDocument storeRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#261  Overall
#35  Document stores
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
Websiteejdb.orgwww.exasol.com/­en/­productswww.datajaguar.comwww.snowflake.com
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperSoftmotionsExasolDataJaguar, Inc.Snowflake Computing Inc.
Initial release2012200020152014
Current release2.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoGPLv2commercialOpen 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 languageCC++ infothe server part. Clients available in other languages
Server operating systemsserver-lessLinuxhosted
Data schemeschema-freeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsin-process shared library.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
CLI Client
JDBC
ODBC
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
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
Triggersnoyesnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-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 integrityno infotypically not needed, however similar functionality with collection joins possibleyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
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 controlnoAccess 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
EJDBEXASOLJaguarDBSnowflake
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
EJDBEXASOLJaguarDBSnowflake
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