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DBMS > Dragonfly vs. Google Cloud Datastore vs. OpenEdge vs. OpenQM vs. Oracle Rdb

System Properties Comparison Dragonfly vs. Google Cloud Datastore vs. OpenEdge vs. OpenQM vs. Oracle Rdb

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOpenEdge  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOracle Rdb  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformApplication development environment with integrated database management systemQpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelKey-value storeDocument storeRelational DBMSMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.27
Rank#298  Overall
#10  Multivalue DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
cloud.google.com/­datastorewww.progress.com/­openedgewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.oracle.com/­database/­technologies/­related/­rdb.html
Technical documentationwww.dragonflydb.io/­docscloud.google.com/­datastore/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestwww.oracle.com/­database/­technologies/­related/­rdb-doc.html
DeveloperDragonflyDB team and community contributorsGoogleProgress Software CorporationRocket Software, originally Martin PhillipsOracle, originally developed by Digital Equipment Corporation (DEC)
Initial release20232008198419931984
Current release1.0, March 2023OpenEdge 12.2, March 20203.4-127.4.1.1, 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercialOpen Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxhostedAIX
HP-UX
Linux
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
HP Open VMS
Data schemescheme-freeschema-freeyesyes infowith some exceptionsFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyes, details hereyesyes
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.nonoyesyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (GQL)yes infoclose to SQL 92noyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolgRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
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
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresLuausing Google App Engineyesyes
Triggerspublish/subscribe channels provide some trigger functionalityCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4yes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using PaxosSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACIDyes, on a single node
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlPassword-based authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users and groupsAccess rights can be defined down to the item level

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More resources
DragonflyGoogle Cloud DatastoreOpenEdgeOpenQM infoalso called QMOracle Rdb
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