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DBMS > Apache Druid vs. Datomic vs. Drizzle vs. Geode

System Properties Comparison Apache Druid vs. Datomic vs. Drizzle vs. Geode

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonGeode  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 dataDatomic 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.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processes
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Websitedruid.apache.orgwww.datomic.comgeode.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.datomic.comgeode.apache.org/­docs
DeveloperApache Software Foundation and contributorsCognitectDrizzle project, originally started by Brian AkerOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release2012201220082002
Current release29.0.1, April 20241.0.6735, June 20237.2.4, September 20121.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infolimited edition freeOpen Source infoGNU GPLOpen Source infoApache Version 2; commercial licenses available as Gemfire
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++Java
Server operating systemsLinux
OS X
Unix
All OS with a Java VMFreeBSD
Linux
OS X
All OS with a Java VM infothe JDK (8 or later) is also required
Data schemeyes infoschema-less columns are supportedyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingnoyes infowith proprietary extensionsSQL-like query language (OQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
RESTful HTTP APIJDBCJava Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Clojure
Java
C
C++
Java
PHP
.Net
All JVM based languages
C++
Groovy
Java
Scala
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnouser defined functions
TriggersnoBy using transaction functionsno infohooks for callbacks inside the server can be used.yes infoCache Event Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone 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 methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes 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 systemnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights per client and object definable

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Apache DruidDatomicDrizzleGeode
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