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DBMS > atoti vs. Microsoft Azure Data Explorer vs. Milvus vs. OrientDB vs. searchxml

System Properties Comparison atoti vs. Microsoft Azure Data Explorer vs. Milvus vs. OrientDB vs. searchxml

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMilvus  Xexclude from comparisonOrientDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Fully managed big data interactive analytics platformA DBMS designed for efficient storage of vector data and vector similarity searchesMulti-model DBMS (Document, Graph, Key/Value)DBMS for structured and unstructured content wrapped with an application server
Primary database modelObject oriented DBMSRelational DBMS infocolumn orientedVector DBMSDocument store
Graph DBMS
Key-value store
Native XML DBMS
Search engine
Secondary database modelsDocument 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
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websiteatoti.ioazure.microsoft.com/­services/­data-explorermilvus.ioorientdb.orgwww.searchxml.net/­category/­products
Technical documentationdocs.atoti.iodocs.microsoft.com/­en-us/­azure/­data-explorermilvus.io/­docs/­overview.mdwww.orientdb.com/­docs/­last/­index.htmlwww.searchxml.net/­support/­handouts
DeveloperActiveViamMicrosoftOrientDB LTD; CallidusCloud; SAPinformationpartners gmbh
Initial release2019201920102015
Current releasecloud service with continuous releases2.3.4, January 20243.2.29, March 20241.0
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2.0Open Source infoApache version 2commercial
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 languageJavaC++, GoJavaC++
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
All OS with a Java JDK (>= JDK 6)Windows
Data schemeFixed schema with schema-less datatypes (dynamic)schema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesVector, 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.yesnonoyes
Secondary indexesall fields are automatically indexednoyesyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)Kusto Query Language (KQL), SQL subsetnoSQL-like query language, no joinsno
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APITinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresPythonYes, possible languages: KQL, Python, RnoJava, Javascriptyes infoon the application server
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoHooksno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding infoImplicit feature of the cloud serviceShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesnoyesno
User concepts infoAccess controlAzure Active Directory AuthenticationRole based access control and fine grained access rightsAccess rights for users and roles; record level security configurableDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
atotiMicrosoft Azure Data ExplorerMilvusOrientDBsearchxml
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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atotiMicrosoft Azure Data ExplorerMilvusOrientDBsearchxml
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