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DBMS > Databricks vs. Drizzle vs. HBase vs. Oracle Rdb

System Properties Comparison Databricks vs. Drizzle vs. HBase vs. Oracle Rdb

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonHBase  Xexclude from comparisonOracle Rdb  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument store
Relational DBMS
Relational DBMSWide column storeRelational 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
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.14
Rank#178  Overall
#80  Relational DBMS
Websitewww.databricks.comhbase.apache.orgwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationdocs.databricks.comhbase.apache.org/­book.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperDatabricksDrizzle project, originally started by Brian AkerApache Software Foundation infoApache top-level project, originally developed by PowersetOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release2013200820081984
Current release7.2.4, September 20122.3.4, January 20217.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache version 2commercial
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 languageC++Java
Server operating systemshostedFreeBSD
Linux
OS X
Linux
Unix
Windows infousing Cygwin
HP Open VMS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free, schema definition possibleFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyes
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 indexesyesyesnoyes
SQL infoSupport of SQLwith Databricks SQLyes infowith proprietary extensionsnoyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJava API
RESTful HTTP API
Thrift
Supported programming languagesPython
R
Scala
C
C++
Java
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infoCoprocessors in Java
Triggersno infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDSingle row ACID (across millions of columns)yes, on a single node
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.noyesno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC
More information provided by the system vendor
DatabricksDrizzleHBaseOracle Rdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDrizzleHBaseOracle Rdb
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