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DBMS > Databricks vs. EsgynDB vs. HBase vs. SQL.JS vs. Trafodion

System Properties Comparison Databricks vs. EsgynDB vs. HBase vs. SQL.JS vs. Trafodion

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonSQL.JS  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTablePort of SQLite to JavaScriptTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSWide column storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websitewww.databricks.comwww.esgyn.cnhbase.apache.orgsql.js.orgtrafodion.apache.org
Technical documentationdocs.databricks.comhbase.apache.org/­book.htmlsql.js.org/­documentation/­index.htmltrafodion.apache.org/­documentation.html
DeveloperDatabricksEsgynApache Software Foundation infoApache top-level project, originally developed by PowersetAlon Zakai infoenhancements implemented by othersApache Software Foundation, originally developed by HP
Initial release20132015200820122014
Current release2.3.4, January 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaJavaScriptC++, Java
Server operating systemshostedLinuxLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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.yesnononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyesnoyes infoSQL-92 is not fully supportedyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
JavaScript APIADO.NET
JDBC
ODBC
Supported programming languagesPython
R
Scala
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScriptAll languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresyes infoCoprocessors in JavanoJava Stored Procedures
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
noneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)ACIDACID
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 Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnofine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksEsgynDBHBaseSQL.JSTrafodion
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksEsgynDBHBaseSQL.JSTrafodion
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