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DBMS > HEAVY.AI vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer vs. Weaviate

Vergleich der Systemeigenschaften HEAVY.AI vs. Microsoft Azure Cosmos DB vs. Microsoft Azure Data Explorer vs. Weaviate

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NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareGlobally distributed, horizontally scalable, multi-model database serviceFully managed big data interactive analytics platformAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellRelational DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Relational DBMS infocolumn orientedVektor DBMS
Sekundäre DatenbankmodelleSpatial DBMSSpatial DBMSDocument 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
Suchmaschine 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 infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,64
Rang#145  Overall
#67  Relational DBMS
Punkte27,71
Rang#27  Overall
#4  Document Stores
#2  Graph DBMS
#3  Key-Value Stores
#3  Wide Column Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1,52
Rang#153  Overall
#5  Vektor DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­services/­data-explorergithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationdocs.heavy.ailearn.microsoft.com/­azure/­cosmos-dbdocs.microsoft.com/­en-us/­azure/­data-explorerweaviate.io/­developers/­weaviate
EntwicklerHEAVY.AI, Inc.MicrosoftMicrosoftWeaviate B.V.
Erscheinungsjahr2016201420192019
Aktuelle Version5.10, Jänner 2022cloud service with continuous releases1.19, Mai 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablekommerziellkommerziellOpen Source infocommercial license available with Weaviate Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC++ and CUDAGo
Server BetriebssystemeLinuxgehostetgehostet
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)yes, maps to GraphQL interface
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infoJSON typesja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesja infostring, int, float, geo point, date, cross reference, fuzzy references
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinjanein
Sekundärindizesneinja infoAll properties auto-indexed by defaultall fields are automatically indexedja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLjaSQL-like query languageKusto Query Language (KQL), SQL subsetGraphQL is used as query language
APIs und andere ZugriffskonzepteJDBC
ODBC
Thrift
Vega
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored ProceduresneinJavaScriptYes, possible languages: KQL, Python, Rnein
TriggersneinJavaScriptja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoRound robinSharding infoImplizit im Cloud ServiceSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikationja infoImplizit im Cloud Serviceja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce Operationenneinwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*Spark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinMulti-item ACID transactions with snapshot isolation within a partitionneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardZugriffsrechte bis auf item level einstellbarAzure Active Directory AuthenticationAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data ExplorerWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» mehr
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
» mehr
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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Weitere Ressourcen
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Data ExplorerWeaviate
DB-Engines Blog Posts

Weaviate, an ANN Database with CRUD support
2. Februar 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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