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DBMS > Apache Cassandra vs. Databricks

System Properties Comparison Apache Cassandra vs. Databricks

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Our visitors often compare Apache Cassandra and Databricks with PostgreSQL, MySQL and ClickHouse.

Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessThe 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.
Primary database modelWide column storeDocument store
Relational DBMS
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score108.05
Rank#11  Overall
#1  Wide column stores
Score102.66
Rank#12  Overall
#2  Document stores
#8  Relational DBMS
Websitecassandra.apache.orgwww.databricks.com
Technical documentationcassandra.apache.org/­doc/­latestdocs.databricks.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDatabricks
Initial release20082013
Current release5.0-rc1, July 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsBSD
Linux
OS X
Windows
hosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes
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.noyes
Secondary indexesrestricted infoonly equality queries, not always the best performing solutionyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)with Databricks SQL
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregates
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACID
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.nono
User concepts infoAccess controlAccess rights for users can be defined per object
More information provided by the system vendor
Apache CassandraDatabricks
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Best practices for running Apache Cassandra with Amazon EBS
8 November 2024, Amazon Web Services

Apache Cassandra survey highlights growing adoption for AI workloads
11 November 2024, Blocks and Files

New Apache Cassandra 5.0 gives open source NoSQL database a scalability and performance boost
6 September 2024, VentureBeat

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