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DBMS > Databricks vs. Drizzle vs. Microsoft Azure SQL Database vs. Oracle Rdb vs. Sqrrl

System Properties Comparison Databricks vs. Drizzle vs. Microsoft Azure SQL Database vs. Oracle Rdb vs. Sqrrl

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSqrrl  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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed 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.Database as a Service offering with high compatibility to Microsoft SQL ServerAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitewww.databricks.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.oracle.com/­database/­technologies/­related/­rdb.htmlsqrrl.com
Technical documentationdocs.databricks.comdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperDatabricksDrizzle project, originally started by Brian AkerMicrosoftOracle, originally developed by Digital Equipment Corporation (DEC)Amazon infooriginally Sqrrl Data, Inc.
Initial release20132008201019842012
Current release7.2.4, September 2012V127.4.1.1, 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemshostedFreeBSD
Linux
OS X
hostedHP Open VMSLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyes infowith proprietary extensionsyesyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCADO.NET
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesPython
R
Scala
C
C++
Java
PHP
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoTransact SQLno
Triggersno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes, with always 3 replicas availableselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyes, on a single nodeAtomic updates per row, document, or graph entity
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.nono
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
DatabricksDrizzleMicrosoft Azure SQL Database infoformerly SQL AzureOracle RdbSqrrl
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDrizzleMicrosoft Azure SQL Database infoformerly SQL AzureOracle RdbSqrrl
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