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DBMS > Brytlyt vs. HEAVY.AI vs. Microsoft Azure Data Explorer vs. TigerGraph vs. Weaviate

Vergleich der Systemeigenschaften Brytlyt vs. HEAVY.AI vs. Microsoft Azure Data Explorer vs. TigerGraph vs. Weaviate

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NameBrytlyt  Xaus Vergleich ausschliessenHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenTigerGraph  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully managed big data interactive analytics platformA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellRelational DBMSRelational DBMSRelational DBMS infocolumn orientedGraph DBMSVektor DBMS
Sekundäre DatenbankmodelleSpatial 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
Punkte0,29
Rang#288  Overall
#131  Relational DBMS
Punkte1,77
Rang#141  Overall
#65  Relational DBMS
Punkte4,38
Rang#77  Overall
#41  Relational DBMS
Punkte1,83
Rang#139  Overall
#13  Graph DBMS
Punkte1,73
Rang#143  Overall
#5  Vektor DBMS
Websitebrytlyt.iogithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­services/­data-explorerwww.tigergraph.comgithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationdocs.brytlyt.iodocs.heavy.aidocs.microsoft.com/­en-us/­azure/­data-explorerdocs.tigergraph.comweaviate.io/­developers/­weaviate
EntwicklerBrytlytHEAVY.AI, Inc.MicrosoftWeaviate B.V.
Erscheinungsjahr20162016201920172019
Aktuelle Version5.0, August 20235.10, Jänner 2022cloud service with continuous releases1.19, Mai 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoApache Version 2; enterprise edition availablekommerziellkommerziellOpen Source infocommercial license available with Weaviate Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheC, C++ and CUDAC++ and CUDAC++Go
Server BetriebssystemeLinux
OS X
Windows
LinuxgehostetLinux
DatenschemajajaFixed schema with schema-less datatypes (dynamic)jayes, maps to GraphQL interface
Typisierung infovordefinierte Datentypen, z.B. float oder datejajaja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesjaja 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, XSLTja infospecific XML-type available, but no XML query functionality.neinjaneinnein
Sekundärindizesjaneinall fields are automatically indexedja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLjajaKusto Query Language (KQL), SQL subsetSQL-like query language (GSQL)GraphQL is used as query language
APIs und andere ZugriffskonzepteADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Vega
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Unterstützte Programmiersprachen.Net
C
C++
Delphi
Java
Perl
Python
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Java
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infoin PL/pgSQLneinYes, possible languages: KQL, Python, Rjanein
Triggersjaneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoRound robinSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-Replica ReplikationMulti-Source Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkjanein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinneinja infoRelationships in graphsnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinneinACIDnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinneinja
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationRole-based access controlAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
BrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Data ExplorerTigerGraphWeaviate
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...
» mehr
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» mehr
Key customersAll companies that have data. ​
» mehr
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» mehr
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» mehr

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Weitere Ressourcen
BrytlytHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Data ExplorerTigerGraphWeaviate
DB-Engines Blog Posts

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

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