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DBMS > Apache Druid vs. Dolt vs. Hypertable vs. IRONdb

System Properties Comparison Apache Druid vs. Dolt vs. Hypertable vs. IRONdb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDolt  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.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 dataA MySQL compatible DBMS with Git-like versioning of data and schemaAn open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSWide column storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Websitedruid.apache.orggithub.com/­dolthub/­dolt
www.dolthub.com
www.circonus.com/solutions/time-series-database/
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.dolthub.comdocs.circonus.com/irondb/category/getting-started
DeveloperApache Software Foundation and contributorsDoltHub IncHypertable Inc.Circonus LLC.
Initial release2012201820092017
Current release29.0.1, April 20240.9.8.11, March 2016V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++C and C++
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infotext, numeric, histograms
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 indexesyesyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSQL for queryingyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
HTTP REST
C++ API
Thrift
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releasenoyes, in Lua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.selectable replication factor on file system levelconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemOnly one user is configurable, and must be specified in the config file at startupnono

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More resources
Apache DruidDoltHypertableIRONdb
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