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DBMS > EsgynDB vs. Google BigQuery vs. InterSystems Caché vs. SQL.JS vs. Trafodion

System Properties Comparison EsgynDB vs. Google BigQuery vs. InterSystems Caché vs. SQL.JS vs. Trafodion

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonSQL.JS  Xexclude from comparisonTrafodion  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionLarge scale data warehouse service with append-only tablesA multi-model DBMS and application serverPort of SQLite to JavaScriptTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitewww.esgyn.cncloud.google.com/­bigquerywww.intersystems.com/­products/­cachesql.js.orgtrafodion.apache.org
Technical documentationcloud.google.com/­bigquery/­docsdocs.intersystems.comsql.js.org/­documentation/­index.htmltrafodion.apache.org/­documentation.html
DeveloperEsgynGoogleInterSystemsAlon Zakai infoenhancements implemented by othersApache Software Foundation, originally developed by HP
Initial release20152010199720122014
Current release2018.1.4, May 20202.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaScriptC++, Java
Server operating systemsLinuxhostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesyesdepending on used data modelyesyes
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.nonoyesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesyesyesyes infoSQL-92 is not fully supportedyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
RESTful HTTP API
JavaScript APIADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
JavaScriptAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions infoin JavaScriptyesnoJava Stored Procedures
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and rolesnofine grained access rights according to SQL-standard

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More resources
EsgynDBGoogle BigQueryInterSystems CachéSQL.JSTrafodion
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