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DBMS > Apache Druid vs. Cassandra vs. Quasardb

System Properties Comparison Apache Druid vs. Cassandra vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCassandra  Xexclude from comparisonQuasardb  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 accessDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.81
Rank#100  Overall
#51  Relational DBMS
#6  Time Series DBMS
Score114.11
Rank#11  Overall
#1  Wide column stores
Score0.21
Rank#282  Overall
#22  Time Series DBMS
Websitedruid.apache.orgcassandra.apache.orgquasardb.net
Technical documentationdruid.apache.org/­docs/­latest/­designcassandra.apache.org/­doc/­latestdoc.quasardb.net
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top level project, originally developped by Facebookquasardb
Initial release201220082009
Current release0.21.0, April 20213.11.10 , February 20213.1, January 2019
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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.
Implementation languageJavaJavaC++
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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 infowith tags
SQL infoSupport of SQLSQL for queryingSQL-like SELECT, DML and DDL statements (CQL)SQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infono "single point of failure"Sharding infoconsistent hashing
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 possibleSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
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 objectCryptographically strong user authentication and audit trail
More information provided by the system vendor
Apache DruidCassandraQuasardb
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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Related products and services
3rd partiesInstaclustr: Hosted & Managed Apache Cassandra as a Service
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CData: Connect to Big Data & NoSQL through standard Drivers.
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DataStax Enterprise: Apache Cassandra for enterprises.
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More resources
Apache DruidCassandraQuasardb
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