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DBMS > JSqlDb vs. Spark SQL vs. Tigris vs. Trafodion

System Properties Comparison JSqlDb vs. Spark SQL vs. Tigris vs. Trafodion

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Editorial information provided by DB-Engines
NameJSqlDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigris  Xexclude from comparisonTrafodion  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionJavaScript Query Language Database, stores JavaScript objects and primitivesSpark SQL is a component on top of 'Spark Core' for structured data processingA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Object oriented DBMS
Relational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitejsqldb.org (offline)spark.apache.org/­sqlwww.tigrisdata.comtrafodion.apache.org
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.tigrisdata.com/­docstrafodion.apache.org/­documentation.html
DeveloperKonrad von BackstromApache Software FoundationTigris Data, Inc.Apache Software Foundation, originally developed by HP
Initial release2018201420222014
Current release0.8, December 20183.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++, Java
Server operating systemsLinux
macOS
Windows
Linux
OS X
Windows
Linux
macOS
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoyes
APIs and other access methodsJDBC
ODBC
CLI Client
gRPC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesJavaScriptJava
Python
R
Scala
Go
Java
JavaScript (Node.js)
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresfunctions in JavaScriptnonoJava Stored Procedures
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing RocksDByesyes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
JSqlDbSpark SQLTigrisTrafodion
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