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DBMS > Apache Druid vs. HarperDB vs. OrigoDB vs. Quasardb

System Properties Comparison Apache Druid vs. HarperDB vs. OrigoDB vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHarperDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataUltra-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.A fully ACID in-memory object graph databaseDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Document storeDocument store
Object oriented DBMS
Time 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
Score0.03
Rank#378  Overall
#51  Document stores
#18  Object oriented DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitedruid.apache.orgwww.harperdb.ioorigodb.comquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docsorigodb.com/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsHarperDBRobert Friberg et alquasardb
Initial release201220172009 infounder the name LiveDB2009
Current release29.0.1, April 20243.1, August 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community edition availableOpen Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC#C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Linux
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supporteddynamic schemayesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesUser defined using .NET types and collectionsyes 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.nonono infocan be achieved using .NETno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingSQL-like data manipulation statementsnoSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
.NET Client API
HTTP API
LINQ
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.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.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yesno
Triggersnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be definedSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByes infoWrite ahead logyes 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 systemAccess rights for users and rolesRole based authorizationCryptographically strong user authentication and audit trail

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More resources
Apache DruidHarperDBOrigoDBQuasardb
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