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DBMS > Dragonfly vs. Hypertable vs. TimescaleDB vs. XTDB

System Properties Comparison Dragonfly vs. Hypertable vs. TimescaleDB vs. XTDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonHypertable  Xexclude from comparisonTimescaleDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceAn open source BigTable implementation based on distributed file systems such as HadoopA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeWide column storeTime Series DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.timescale.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.dragonflydb.io/­docsdocs.timescale.comwww.xtdb.com/­docs
DeveloperDragonflyDB team and community contributorsHypertable Inc.TimescaleJuxt Ltd.
Initial release2023200920172019
Current release1.0, March 20230.9.8.11, March 20162.13.0, November 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++CClojure
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemescheme-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes, extensible-data-notation format
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.noyesno
Secondary indexesnorestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnonoyes infofull PostgreSQL SQL syntaxlimited SQL, making use of Apache Calcite
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolC++ API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
JDBC
Supported programming languagesC
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++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Clojure
Java
Server-side scripts infoStored proceduresLuanouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggerspublish/subscribe channels provide some trigger functionalitynoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor on file system levelSource-replica replication with hot standby and reads on replicas infoyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlPassword-based authenticationnofine grained access rights according to SQL-standard

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More resources
DragonflyHypertableTimescaleDBXTDB infoformerly named Crux
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