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DBMS > Cassandra vs. Datastax Enterprise vs. Druid

System Properties Comparison Cassandra vs. Datastax Enterprise vs. Druid

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Editorial information provided by DB-Engines
NameCassandra  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonDruid  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Open-source analytics data store designed for OLAP queries on timeseries data
Primary database modelWide column storeWide column storeRelational DBMS
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score121.09
Rank#10  Overall
#1  Wide column stores
Score8.67
Rank#44  Overall
#4  Wide column stores
Score2.05
Rank#120  Overall
#58  Relational DBMS
#8  Time Series DBMS
Websitecassandra.apache.orgwww.datastax.com/­products/­datastax-enterprisedruid.apache.org
Technical documentationcassandra.apache.org/­doc/­latestdocs.datastax.comdruid.apache.org/­docs/­latest/­design
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookDataStaxMetamarkets Group and contributors
Initial release200820112012
Current release3.11.6, February 20206.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache license v2
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 languageJavaJavaJava
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Linux
OS X
Unix
Data schemeschema-freeschema-freeyes infoschema-less columns are supported
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 indexesrestricted infoonly equality queries, not always the best performing solutionyesyes
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL-like DML and DDL statements (CQL); Spark SQLSQL support via Apache Calcite adapter
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JSON over HTTP
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Server-side scripts infoStored proceduresnonono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleconfigurable replication factor, datacenter aware, advanced replication for edge computingyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsno infoAtomicity and isolation are supported for single operationsno
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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users can be defined per objectno infoavailable via extensions
More information provided by the system vendor
CassandraDatastax EnterpriseDruid
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
» more
DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Supporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Applications that must be massively and linearly scalable with 100% uptime and able...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsCassandra is used by 40% of the Fortune 100.
» more
Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
» more
Annual subscription
» more

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More resources
CassandraDatastax EnterpriseDruid
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