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DBMS > Dragonfly vs. FileMaker vs. Google Cloud Datastore vs. Graphite vs. VelocityDB

System Properties Comparison Dragonfly vs. FileMaker vs. Google Cloud Datastore vs. Graphite vs. VelocityDB

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonGraphite  Xexclude from comparisonVelocityDB  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 instanceFileMaker is a cross-platform RDBMS that includes a GUI frontend.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeRelational DBMSDocument storeTime Series DBMSGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.claris.com/­filemakercloud.google.com/­datastoregithub.com/­graphite-project/­graphite-webvelocitydb.com
Technical documentationwww.dragonflydb.io/­docswww.claris.com/­resources/­documentationcloud.google.com/­datastore/­docsgraphite.readthedocs.iovelocitydb.com/­UserGuide
DeveloperDragonflyDB team and community contributorsClaris infoa subsidiary of AppleGoogleChris DavisVelocityDB Inc
Initial release20231983200820062011
Current release1.0, March 202319.4.1, November 20217.x
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++PythonC#
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
hostedLinux
Unix
Any that supports .NET
Data schemescheme-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyes, details hereNumeric data onlyyes
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.noyes infoA http query request can return the data in XML formatnonono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyes infovia pluginsSQL-like query language (GQL)nono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolFilemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
Sockets
.Net
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
PHP.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored proceduresLuayesusing Google App Enginenono
Triggerspublish/subscribe channels provide some trigger functionalityyesCallbacks using the Google Apps EnginenoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication, warm standby infosince Version 14Multi-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
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.noneImmediate Consistency
Foreign keys infoReferential integritynoyesyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes infolockingyes
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.yesnoyes
User concepts infoAccess controlPassword-based authenticationsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noBased on Windows Authentication

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More resources
DragonflyFileMakerGoogle Cloud DatastoreGraphiteVelocityDB
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