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DBMS > Apache Druid vs. Dgraph vs. IRONdb vs. Quasardb

System Properties Comparison Apache Druid vs. Dgraph vs. IRONdb vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDgraph  Xexclude from comparisonIRONdb  Xexclude from comparisonQuasardb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed and scalable native Graph DBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Graph DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#99  Overall
#51  Relational DBMS
#7  Time Series DBMS
Score1.53
Rank#164  Overall
#15  Graph DBMS
Score0.19
Rank#330  Overall
#30  Time Series DBMS
Websitedruid.apache.orgdgraph.iowww.circonus.com/solutions/time-series-database/quasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdgraph.io/­docsdocs.circonus.com/irondb/category/getting-starteddoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsDgraph Labs, Inc.Circonus LLC.quasardb
Initial release2012201620172009
Current release29.0.0, February 2024V0.10.20, January 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercialcommercial 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 languageJavaGoC and C++C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows
LinuxBSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes 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 indexesyesyesnoyes infowith tags
SQL infoSupport of SQLSQL for queryingnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
HTTP APIHTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes, in Luano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedyesAutomatic, metric affinity per nodeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSynchronous replication via Raftconfigurable replication factor, datacenter awareSource-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 per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno infoPlanned for future releasesnoCryptographically strong user authentication and audit trail

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More resources
Apache DruidDgraphIRONdbQuasardb
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