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DBMS > EsgynDB vs. Spark SQL

System Properties Comparison EsgynDB vs. Spark SQL

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Our visitors often compare EsgynDB and Spark SQL with Impala, Elasticsearch and MongoDB.

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#264  Overall
#123  Relational DBMS
Score16.15
Rank#35  Overall
#21  Relational DBMS
Websiteesgyn.comspark.apache.org/­sql
Technical documentationesgyn.com/­developersspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperEsgynApache Software Foundation
Initial release20152014
Current releasev2.4.4, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaScala
Server operating systemsLinuxLinux
OS X
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesno
SQL infoSupport of SQLyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardno
More information provided by the system vendor
EsgynDBSpark SQL
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Licensing and pricing modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» 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
EsgynDBSpark SQL
Conferences and events

Spark Summit Europe 2019
Amsterdam, Netherlands, 15-17 October 2019

Recent citations in the news

Esgyn Strato: Esgyn announces a Hybrid / Multi Cloud Big Data Platform Service to run and optimize your business
30 November 2018, Markets Insider

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big data
28 May 2019, Moneycontrol

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

provided by Google News

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