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DBMS > IBM Cloudant vs. Microsoft Azure Synapse Analytics vs. Milvus vs. Percona Server for MongoDB vs. WakandaDB

System Properties Comparison IBM Cloudant vs. Microsoft Azure Synapse Analytics vs. Milvus vs. Percona Server for MongoDB vs. WakandaDB

Editorial information provided by DB-Engines
NameIBM Cloudant  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMilvus  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA DBMS designed for efficient storage of vector data and vector similarity searchesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument storeRelational DBMSVector DBMSDocument storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.68
Rank#106  Overall
#20  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.ibm.com/­products/­cloudantazure.microsoft.com/­services/­synapse-analyticsmilvus.iowww.percona.com/­mongodb/­software/­percona-server-for-mongodbwakanda.github.io
Technical documentationcloud.ibm.com/­docs/­Cloudantdocs.microsoft.com/­azure/­synapse-analyticsmilvus.io/­docs/­overview.mddocs.percona.com/­percona-distribution-for-mongodbwakanda.github.io/­doc
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftPerconaWakanda SAS
Initial release20102016201920152012
Current release2.3.4, January 20243.4.10-2.10, November 20172.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 2Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageErlangC++C++, GoC++C++, JavaScript
Server operating systemshostedhostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
LinuxLinux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesVector, Numeric and Stringyesyes
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.nonononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
RESTful HTTP APIproprietary protocol using JSONRESTful HTTP API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
C#
Java
PHP
C++
Go
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
JavaScript
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptTransact SQLnoJavaScriptyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynono 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 datano infoatomic operations within a document possibleACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyesyes
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.noyesyes infovia In-Memory Engineno
User concepts infoAccess controlAccess rights for users can be defined per databaseyesRole based access control and fine grained access rightsAccess rights for users and rolesyes
More information provided by the system vendor
IBM CloudantMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusPercona Server for MongoDBWakandaDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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More resources
IBM CloudantMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMilvusPercona Server for MongoDBWakandaDB
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