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DBMS > Dragonfly vs. GeoSpock vs. Google Cloud Bigtable vs. MonetDB

System Properties Comparison Dragonfly vs. GeoSpock vs. Google Cloud Bigtable vs. MonetDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMonetDB  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 instanceSpatial 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.A relational database management system that stores data in columns
Primary database modelKey-value storeRelational DBMSKey-value store
Wide column store
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geospock.comcloud.google.com/­bigtablewww.monetdb.org
Technical documentationwww.dragonflydb.io/­docscloud.google.com/­bigtable/­docswww.monetdb.org/­Documentation
DeveloperDragonflyDB team and community contributorsGeoSpockGoogleMonetDB BV
Initial release202320152004
Current release1.0, March 20232.0, September 2019Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercialOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptC
Server operating systemsLinuxhostedhostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemescheme-freeyesschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesnoyes
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.nonono
Secondary indexesnotemporal, categoricalnoyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)noyes infoSQL 2003 with some extensions
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
native C library infoMAPI library (MonetDB application programming interface)
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
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresLuanonoyes, in SQL, C, R
Triggerspublish/subscribe channels provide some trigger functionalitynonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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)
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoAtomic single-row operationsACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
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.yesnono
User concepts infoAccess controlPassword-based authenticationAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
DragonflyGeoSpockGoogle Cloud BigtableMonetDB
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