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DBMS > Apache Druid vs. Drizzle vs. HarperDB vs. Oracle Coherence vs. Quasardb

System Properties Comparison Apache Druid vs. Drizzle vs. HarperDB vs. Oracle Coherence vs. Quasardb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonHarperDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonQuasardb  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 dataMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Oracles in-memory data grid solutionDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSDocument storeKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score0.55
Rank#252  Overall
#38  Document stores
Score2.02
Rank#131  Overall
#22  Key-value stores
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitedruid.apache.orgwww.harperdb.iowww.oracle.com/­java/­coherencequasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencedoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerHarperDBOraclequasardb
Initial release20122008201720072009
Current release29.0.1, April 20247.2.4, September 20123.1, August 202114.1, August 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoGNU GPLcommercial infofree community edition availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Node.jsJavaC++
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
OS X
Linux
OS X
All OS with a Java VMBSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesdynamic schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesyes infointeger and binary
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 indexesyesyesyesnoyes infowith tags
SQL infoSupport of SQLSQL for queryingyes infowith proprietary extensionsSQL-like data manipulation statementsnoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JCache
JPA
RESTful HTTP API
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Java
PHP
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C++
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoCustom Functions infosince release 3.1nono
Triggersnono infohooks for callbacks inside the server can be used.noyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingA table resides as a whole on one (or more) nodes in a clusterShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedyes, with selectable consistency levelSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic execution of specific operationsconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByes infooptionallyyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and rolesauthentification to access the cache via certificates or http basic authenticationCryptographically strong user authentication and audit trail

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More resources
Apache DruidDrizzleHarperDBOracle CoherenceQuasardb
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