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DBMS > Apache Druid vs. Cassandra vs. ScyllaDB

System Properties Comparison Apache Druid vs. Cassandra vs. ScyllaDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCassandra  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.49
Rank#125  Overall
#62  Relational DBMS
#8  Time Series DBMS
Score116.22
Rank#11  Overall
#1  Wide column stores
Score5.63
Rank#77  Overall
#8  Wide column stores
Websitedruid.apache.orgcassandra.apache.orgwww.scylladb.com
Technical documentationdruid.apache.org/­docs/­latest/­designcassandra.apache.org/­doc/­latestdocs.scylladb.com
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top level project, originally developped by FacebookScyllaDB
Initial release201220082015
Current release25.0.0, January 20234.1.0, December 2022ScyllaDB Open Source 5.0, July 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2Open Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionyes infocluster global secondary indices
SQL infoSupport of SQLSQL for queryingSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statements (CQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnonoyes, Lua
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infoRepresentation of geographical distribution of servers is possibleselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoin-memory tables
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per objectAccess rights for users can be defined per object
More information provided by the system vendor
Apache DruidCassandraScyllaDB
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
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We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDataStax Cassandra: Zero touch operations, configuration and management with true autoscaling
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More resources
Apache DruidCassandraScyllaDB
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