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DBMS > Adabas vs. Dragonfly vs. Graph Engine vs. InfluxDB vs. Yaacomo

System Properties Comparison Adabas vs. Dragonfly vs. Graph Engine vs. InfluxDB vs. Yaacomo

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDragonfly  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonInfluxDB  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineDBMS for storing time series, events and metricsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelMultivalue DBMSKey-value storeGraph DBMS
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.79
Rank#102  Overall
#2  Multivalue DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.graphengine.iowww.influxdata.com/­products/­influxdb-overviewyaacomo.com
Technical documentationwww.dragonflydb.io/­docswww.graphengine.io/­docs/­manualdocs.influxdata.com/­influxdb
DeveloperSoftware AGDragonflyDB team and community contributorsMicrosoftQ2WEB GmbH
Initial release19712023201020132009
Current release1.0, March 20232.7.6, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1Open Source infoMIT LicenseOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++.NET and CGo
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux.NETLinux
OS X infothrough Homebrew
Android
Linux
Windows
Data schemeyesscheme-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesNumeric data and Stringsyes
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.nonononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynonoSQL-like query languageyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
Proprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP APIHTTP API
JSON over UDP
JDBC
ODBC
Supported programming languagesNaturalC
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++
F#
Visual Basic
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresin NaturalLuayesno
Triggersnopublish/subscribe channels provide some trigger functionalitynonoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistahorizontal partitioningSharding infoin enterprise version onlyhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorSource-replica replicationselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoDepending on used storage engineyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Password-based authenticationsimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Adabas infodenotes "adaptable data base"DragonflyGraph Engine infoformer name: TrinityInfluxDBYaacomo
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
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Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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