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DBMS > Dragonfly vs. Firebird vs. GeoSpock vs. Google Cloud Bigtable vs. OpenQM

System Properties Comparison Dragonfly vs. Firebird vs. GeoSpock vs. Google Cloud Bigtable vs. OpenQM

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFirebird  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded 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 instanceFirebird is an open source RDBMS forked from Borland's InterBaseSpatial and temporal data processing engine for extreme data scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.QpenQM is a high-performance, self-tuning, multi-value DBMS
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store
Wide column store
Multivalue DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.firebirdsql.orggeospock.comcloud.google.com/­bigtablewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationwww.dragonflydb.io/­docswww.firebirdsql.org/­en/­reference-manualscloud.google.com/­bigtable/­docs
DeveloperDragonflyDB team and community contributorsFirebird FoundationGeoSpockGoogleRocket Software, originally Martin Phillips
Initial release20232000 infoAs fork of Borland's InterBase20151993
Current release1.0, March 20235.0.0, January 20242.0, September 20193.4-12
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoInitial Developer's Public LicensecommercialcommercialOpen Source infoGPLv2, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++Java, Javascript
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedhostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Data schemescheme-freeyesyesschema-freeyes infowith some exceptions
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesno
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.nononoyes
Secondary indexesnoyestemporal, categoricalnoyes
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)nono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
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
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
Server-side scripts infoStored proceduresLuaPSQLnonoyes
Triggerspublish/subscribe channels provide some trigger functionalityyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDnoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.yesnono
User concepts infoAccess controlPassword-based authenticationUsers with fine-grained authorization conceptAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item level

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More resources
DragonflyFirebirdGeoSpockGoogle Cloud BigtableOpenQM infoalso called QM
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