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DBMS > Cloudflare Workers KV vs. Dragonfly vs. Microsoft Azure Synapse Analytics vs. SiriDB vs. Sphinx

System Properties Comparison Cloudflare Workers KV vs. Dragonfly vs. Microsoft Azure Synapse Analytics vs. SiriDB vs. Sphinx

Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonDragonfly  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSiriDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerOpen Source Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeKey-value storeRelational DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#274  Overall
#39  Key-value stores
Score0.49
Rank#261  Overall
#38  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
azure.microsoft.com/­services/­synapse-analyticssiridb.comsphinxsearch.com
Technical documentationdevelopers.cloudflare.com/­kv/­apiwww.dragonflydb.io/­docsdocs.microsoft.com/­azure/­synapse-analyticsdocs.siridb.comsphinxsearch.com/­docs
DeveloperCloudflareDragonflyDB team and community contributorsMicrosoftCesbitSphinx Technologies Inc.
Initial release20182023201620172001
Current release1.0, March 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1commercialOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++CC++
Server operating systemshostedLinuxhostedLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freescheme-freeyesyesyes
Typing infopredefined data types such as float or datenostrings, hashes, lists, sets, sorted sets, bit arraysyesyes infoNumeric datano
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.nononono
Secondary indexesnonoyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesnoSQL-like query language (SphinxQL)
APIs and other access methodsHTTP REST
Proprietary protocol
Proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
HTTP APIProprietary protocol
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
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
C#
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoLuaTransact SQLnono
Triggersnopublish/subscribe channels provide some trigger functionalitynonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of command blocks and scriptsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlPassword-based authenticationyessimple rights management via user accountsno

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More resources
Cloudflare Workers KVDragonflyMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiriDBSphinx
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