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DBMS > Databend vs. Dragonfly vs. Google Cloud Datastore vs. STSdb

System Properties Comparison Databend vs. Dragonfly vs. Google Cloud Datastore vs. STSdb

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDragonfly  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA 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 PlatformKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value storeDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score0.44
Rank#255  Overall
#38  Key-value stores
Score4.13
Rank#71  Overall
#12  Document stores
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­dragonflydb/­dragonfly
www.dragonflydb.io
cloud.google.com/­datastoregithub.com/­STSSoft/­STSdb4
Technical documentationdocs.databend.comwww.dragonflydb.io/­docscloud.google.com/­datastore/­docs
DeveloperDatabend LabsDragonflyDB team and community contributorsGoogleSTS Soft SC
Initial release2021202320082011
Current release1.0.59, April 20231.0, March 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSL 1.1commercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustC++C#
Server operating systemshosted
Linux
macOS
LinuxhostedWindows
Data schemeyesscheme-freeschema-freeyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes, details hereyes infoprimitive types and user defined types (classes)
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 indexesnonoyesno
SQL infoSupport of SQLyesnoSQL-like query language (GQL)no
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolgRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
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
C#
Java
Server-side scripts infoStored proceduresnoLuausing Google App Engineno
Triggersnopublish/subscribe channels provide some trigger functionalityCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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.
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic execution of command blocks and scriptsACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesPassword-based authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
DatabendDragonflyGoogle Cloud DatastoreSTSdb
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