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DBMS > Apache Cassandra vs. Apache Druid vs. KeyDB

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

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Editorial information provided by DB-Engines
NameApache Cassandra  Xexclude from comparisonApache Druid  Xexclude from comparisonKeyDB  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 dataAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelWide column storeRelational DBMS
Time Series DBMS
Key-value store
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
Score0.70
Rank#218  Overall
#32  Key-value stores
Websitecassandra.apache.orgdruid.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationcassandra.apache.org/­doc/­latestdruid.apache.org/­docs/­latest/­designdocs.keydb.dev
DeveloperApache Software Foundation infoApache top level project, originally developped by FacebookApache Software Foundation and contributorsEQ Alpha Technology Ltd.
Initial release200820122019
Current release5.0-rc1, July 202430.0.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache license v2Open Source infoBSD-3
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
Linux
Data schemeschema-freeyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 infoby using the Redis Search module
SQL infoSupport of SQLSQL-like SELECT, DML and DDL statements (CQL)SQL for queryingno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
JDBC
RESTful HTTP/JSON API
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesC#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored proceduresnonoLua
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infomanual/auto, time-basedSharding
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 enginesMulti-source replication
Source-replica replication
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 ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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 systemsimple password-based access control and ACL
More information provided by the system vendor
Apache CassandraApache DruidKeyDB
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Apache CassandraApache DruidKeyDB
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