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DBMS > Databricks vs. Drizzle vs. Microsoft Azure SQL Database vs. XTDB

System Properties Comparison Databricks vs. Drizzle vs. Microsoft Azure SQL Database vs. XTDB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDrizzle  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonXTDB infoformerly named Crux  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.Database as a Service offering with high compatibility to Microsoft SQL ServerA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial 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
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.databricks.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.databricks.comdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.xtdb.com/­docs
DeveloperDatabricksDrizzle project, originally started by Brian AkerMicrosoftJuxt Ltd.
Initial release2013200820102019
Current release7.2.4, September 2012V121.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Clojure
Server operating systemshostedFreeBSD
Linux
OS X
hostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes, extensible-data-notation format
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 indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyes infowith proprietary extensionsyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesPython
R
Scala
C
C++
Java
PHP
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
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 nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yes, with always 3 replicas availableyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksDrizzleMicrosoft Azure SQL Database infoformerly SQL AzureXTDB infoformerly named Crux
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDrizzleMicrosoft Azure SQL Database infoformerly SQL AzureXTDB infoformerly named Crux
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