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DBMS > Apache Druid vs. Cassandra vs. Datomic vs. Drizzle vs. HEAVY.AI

System Properties Comparison Apache Druid vs. Cassandra vs. Datomic vs. Drizzle vs. HEAVY.AI

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCassandra  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
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 accessDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelRelational DBMS
Time Series DBMS
Wide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsVector DBMS infostarting with release V5Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score101.89
Rank#12  Overall
#1  Wide column stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Websitedruid.apache.orgcassandra.apache.orgwww.datomic.comgithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdruid.apache.org/­docs/­latest/­designcassandra.apache.org/­doc/­latestdocs.datomic.comdocs.heavy.ai
DeveloperApache Software Foundation and contributorsApache Software Foundation infoApache top level project, originally developped by FacebookCognitectDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.
Initial release20122008201220082016
Current release29.0.1, April 20244.1.3, July 20231.0.6735, June 20237.2.4, September 20125.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2commercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJava, ClojureC++C++ and CUDA
Server operating systemsLinux
OS X
Unix
BSD
Linux
OS X
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Linux
Data schemeyes infoschema-less columns are supportedschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesrestricted infoonly equality queries, not always the best performing solutionyesyesno
SQL infoSupport of SQLSQL for queryingSQL-like SELECT, DML and DDL statements (CQL)noyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
RESTful HTTP APIJDBCJDBC
ODBC
Thrift
Vega
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript infoNode.js
Perl
PHP
Python
Ruby
Scala
Clojure
Java
C
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsnono
TriggersnoyesBy using transaction functionsno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infono "single point of failure"none infoBut extensive use of caching in the application peersShardingSharding infoRound robin
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 possiblenone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentyes
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 objectnoPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidCassandraDatomicDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
Specific characteristicsApache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantagesNo single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenariosInternet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customersApple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metricsCassandra is used by 40% of the Fortune 100.
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Licensing and pricing modelsApache license  Pricing for commercial distributions provided by DataStax and available...
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