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DBMS > BaseX vs. Databricks vs. FatDB vs. HBase vs. Sequoiadb

System Properties Comparison BaseX vs. Databricks vs. FatDB vs. HBase vs. Sequoiadb

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonDatabricks  Xexclude from comparisonFatDB  Xexclude from comparisonHBase  Xexclude from comparisonSequoiadb  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.The 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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Wide-column store based on Apache Hadoop and on concepts of BigTableNewSQL database with distributed OLTP and SQL
Primary database modelNative XML DBMSDocument store
Relational DBMS
Document store
Key-value store
Wide column storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitebasex.orgwww.databricks.comhbase.apache.orgwww.sequoiadb.com
Technical documentationdocs.basex.orgdocs.databricks.comhbase.apache.org/­book.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperBaseX GmbHDatabricksFatCloudApache Software Foundation infoApache top-level project, originally developed by PowersetSequoiadb Ltd.
Initial release20072013201220082013
Current release10.7, August 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercialOpen Source infoApache version 2Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#JavaC++
Server operating systemsLinux
OS X
Windows
hostedWindowsLinux
Unix
Windows infousing Cygwin
Linux
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesoptions to bring your own types, AVROyes 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.yesnono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLnowith Databricks SQLno infoVia inetgration in SQL ServernoSQL-like query language
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBC
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Java API
RESTful HTTP API
Thrift
proprietary protocol using JSON
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Python
R
Scala
C#C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyes infovia applicationsyes infoCoprocessors in JavaJavaScript
Triggersyes infovia eventsyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factorMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDnoSingle row ACID (across millions of columns)Document is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsno infoCan implement custom security layer via applicationsAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple password-based access control
More information provided by the system vendor
BaseXDatabricksFatDBHBaseSequoiadb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BaseXDatabricksFatDBHBaseSequoiadb
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