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DBMS > Apache Druid vs. Dragonfly vs. Drizzle vs. Hypertable

System Properties Comparison Apache Druid vs. Dragonfly vs. Drizzle vs. Hypertable

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDragonfly  Xexclude from comparisonDrizzle  Xexclude from comparisonHypertable  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.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeRelational DBMSWide column 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
Score0.41
Rank#266  Overall
#38  Key-value stores
Websitedruid.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
Technical documentationdruid.apache.org/­docs/­latest/­designwww.dragonflydb.io/­docs
DeveloperApache Software Foundation and contributorsDragonflyDB team and community contributorsDrizzle project, originally started by Brian AkerHypertable Inc.
Initial release2012202320082009
Current release29.0.1, April 20241.0, March 20237.2.4, September 20120.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoBSL 1.1Open Source infoGNU GPLOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++C++
Server operating systemsLinux
OS X
Unix
LinuxFreeBSD
Linux
OS X
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeyes infoschema-less columns are supportedscheme-freeyesschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesno
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.nono
Secondary indexesyesnoyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL for queryingnoyes infowith proprietary extensionsno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Proprietary protocol infoRESP - REdis Serialization ProtocolJDBCC++ API
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C
C++
Java
PHP
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoLuanono
Triggersnopublish/subscribe channels provide some trigger functionalityno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationMulti-source replication
Source-replica replication
selectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPassword-based authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPno

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More resources
Apache DruidDragonflyDrizzleHypertable
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