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DBMS > Dragonfly vs. Geode vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics

System Properties Comparison Dragonfly vs. Geode vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGeode  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 instanceGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSearch-as-a-service for web and mobile app developmentElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelKey-value storeKey-value storeSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
geode.apache.orgazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.dragonflydb.io/­docsgeode.apache.org/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analytics
DeveloperDragonflyDB team and community contributorsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MicrosoftMicrosoft
Initial release2023200220152016
Current release1.0, March 20231.1, February 2017V1
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedhosted
Data schemescheme-freeschema-freeyesyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLnoSQL-like query language (OQL)noyes
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolJava Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
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
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
Java
JavaScript
Python
C#
Java
PHP
Server-side scripts infoStored proceduresLuauser defined functionsnoTransact SQL
Triggerspublish/subscribe channels provide some trigger functionalityyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsyes, on a single nodenoACID
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.yesyesno
User concepts infoAccess controlPassword-based authenticationAccess rights per client and object definableyes infousing Azure authenticationyes

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More resources
DragonflyGeodeMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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