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DBMS > Apache Cassandra vs. Apache Druid vs. NuoDB

System Properties Comparison Apache Cassandra vs. Apache Druid vs. NuoDB

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonApache Druid  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionWide-column store based on ideas of BigTable and DynamoDB infoOptimized for write accessOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsVector DBMS infostarting with release V5
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score106.65
Rank#11  Overall
#1  Wide column stores
Score2.79
Rank#89  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.79
Rank#206  Overall
#97  Relational DBMS
Websitecassandra.apache.orgdruid.apache.orgwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationcassandra.apache.org/­doc/­latestdruid.apache.org/­docs/­latest/­designdoc.nuodb.com
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookApache Software Foundation and contributorsDassault Systèmes infooriginally NuoDB, Inc.
Initial release200820122013
Current release5.0-rc1, July 202430.0.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache license v2commercial infolimited edition free
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Unix
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyes infoschema-less columns are supportedyes
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 for queryingyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoJava, SQL
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infomanual/auto, time-baseddata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possibleyes, via HDFS, S3 or other storage enginesyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC
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 infoTemporary table
User concepts infoAccess controlAccess rights for users can be defined per objectRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemStandard SQL roles/ privileges, Administrative Users
More information provided by the system vendor
Apache CassandraApache DruidNuoDB
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