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DBMS > IBM Db2 vs. Microsoft Azure Data Explorer vs. Milvus vs. NSDb vs. Transbase

System Properties Comparison IBM Db2 vs. Microsoft Azure Data Explorer vs. Milvus vs. NSDb vs. Transbase

Editorial information provided by DB-Engines
NameIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMilvus  Xexclude from comparisonNSDb  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionCommon in IBM host environments, 2 different versions for host and Windows/LinuxFully managed big data interactive analytics platformA DBMS designed for efficient storage of vector data and vector similarity searchesScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS infocolumn orientedVector DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score125.90
Rank#9  Overall
#6  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.ibm.com/­products/­db2azure.microsoft.com/­services/­data-explorermilvus.ionsdb.iowww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.ibm.com/­docs/­en/­db2docs.microsoft.com/­en-us/­azure/­data-explorermilvus.io/­docs/­overview.mdnsdb.io/­Architecturewww.transaction.de/­en/­products/­transbase/­features.html
DeveloperIBMMicrosoftTransaction Software GmbH
Initial release1983 infohost version2019201920171987
Current release12.1, October 2016cloud service with continuous releases2.4.4, May 2024Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infofree version is availablecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
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 languageC and C++C++, GoJava, ScalaC and C++
Server operating systemsAIX
HP-UX
Linux
Solaris
Windows
z/OS
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesVector, Numeric and Stringyes: int, bigint, decimal, stringyes
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.yesnonono
Secondary indexesyesall fields are automatically indexednoall fields are automatically indexedyes
SQL infoSupport of SQLyesKusto Query Language (KQL), SQL subsetnoSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIgRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
Java
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesYes, possible languages: KQL, Python, Rnonoyes
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAzure Active Directory AuthenticationRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
IBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Data ExplorerMilvusNSDbTransbase
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 Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Data ExplorerMilvusNSDbTransbase
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