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DBMS > Databricks vs. Microsoft Azure Cosmos DB

System Properties Comparison Databricks vs. Microsoft Azure Cosmos DB

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Our visitors often compare Databricks and Microsoft Azure Cosmos DB with PostgreSQL, MySQL and Microsoft Azure SQL Database.

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  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.Globally distributed, horizontally scalable, multi-model database service
Primary database modelDocument store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score83.29
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score27.12
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websitewww.databricks.comazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.databricks.comlearn.microsoft.com/­azure/­cosmos-db
DeveloperDatabricksMicrosoft
Initial release20132014
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or dateyes infoJSON types
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.yes
Secondary indexesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLwith Databricks SQLSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesPython
R
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesJavaScript
TriggersJavaScript
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights can be defined down to the item level
More information provided by the system vendor
DatabricksMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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