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DBMS > Databricks vs. HBase vs. Postgres-XL vs. Sequoiadb

System Properties Comparison Databricks vs. HBase vs. Postgres-XL vs. Sequoiadb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonHBase  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSequoiadb  Xexclude from comparison
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.Wide-column store based on Apache Hadoop and on concepts of BigTableBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Relational DBMS
Wide column storeRelational DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Websitewww.databricks.comhbase.apache.orgwww.postgres-xl.orgwww.sequoiadb.com
Technical documentationdocs.databricks.comhbase.apache.org/­book.htmlwww.postgres-xl.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperDatabricksApache Software Foundation infoApache top-level project, originally developed by PowersetSequoiadb Ltd.
Initial release201320082014 infosince 2012, originally named StormDB2013
Current release2.3.4, January 202110 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoMozilla public licenseOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
Linux
macOS
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyes infooid, date, timestamp, binary, regex
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.yesnoyes infoXML type, but no XML query functionalityno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLwith Databricks SQLnoyes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol using JSON
Supported programming languagesPython
R
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoCoprocessors in Javauser defined functionsJavaScript
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACID infoMVCCDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardsimple password-based access control
More information provided by the system vendor
DatabricksHBasePostgres-XLSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksHBasePostgres-XLSequoiadb
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