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DBMS > EsgynDB vs. JaguarDB vs. Snowflake vs. TerarkDB

System Properties Comparison EsgynDB vs. JaguarDB vs. Snowflake vs. TerarkDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonSnowflake  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionPerformant, highly scalable DBMS for AI and IoT applicationsCloud-based data warehousing service for structured and semi-structured dataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#263  Overall
#123  Relational DBMS
Score0.00
Rank#339  Overall
#59  Key-value stores
Score2.39
Rank#100  Overall
#49  Relational DBMS
Score0.06
Rank#310  Overall
#50  Key-value stores
Websiteesgyn.comwww.datajaguar.comwww.snowflake.comgithub.com/­Terark/­terarkdb
Technical documentationesgyn.com/­developerswww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.htmlgithub.com/­Terark/­terarkdb/­wiki
DeveloperEsgynDataJaguar, Inc.Snowflake Computing Inc.Terark
Initial release2015201520142016
Current release2.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC++ infothe server part. Clients available in other languagesC++
Server operating systemsLinuxLinuxhosted
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyesno
Secondary indexesyesyesno
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
CLI Client
JDBC
ODBC
C++ API
Java API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresJava Stored Proceduresnouser defined functionsno
Triggersnonono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersMaster-master replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsUsers with fine-grained authorization concept, user roles and pluggable authenticationno
More information provided by the system vendor
EsgynDBJaguarDBSnowflakeTerarkDB
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
EsgynDBJaguarDBSnowflakeTerarkDB
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