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DBMS > EsgynDB vs. EXASOL vs. JaguarDB vs. Netezza vs. Snowflake

System Properties Comparison EsgynDB vs. EXASOL vs. JaguarDB vs. Netezza vs. Snowflake

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Performant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#266  Overall
#125  Relational DBMS
Score2.89
Rank#89  Overall
#44  Relational DBMS
Score0.00
Rank#334  Overall
#59  Key-value stores
Score18.75
Rank#33  Overall
#20  Relational DBMS
Score2.56
Rank#101  Overall
#49  Relational DBMS
Websiteesgyn.comwww.exasol.com/­en/­productswww.datajaguar.comwww.ibm.com/­analytics/­netezzawww.snowflake.com
Technical documentationesgyn.com/­developerswww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperEsgynExasolDataJaguar, Inc.IBMSnowflake Computing Inc.
Initial release20152000201520002014
Current release2.9.4 September 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
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 languages
Server operating systemsLinuxLinuxLinux infoincluded in appliancehosted
Data schemeyesyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsnoyesuser defined functions
Triggersnoyesnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersMaster-master replicationMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardrights management via user accountsUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
EsgynDBEXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflake
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
SQL support, group by, order by, join
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Extremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
IoT data, time series data, AI data. Any type of numerical data.
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more
Free-trial license, per-node license, and subscription license.
» more

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More resources
EsgynDBEXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflake
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