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DBMS > atoti vs. Bangdb vs. EsgynDB vs. Microsoft Azure Data Explorer vs. Weaviate

Vergleich der Systemeigenschaften atoti vs. Bangdb vs. EsgynDB vs. Microsoft Azure Data Explorer vs. Weaviate

Redaktionelle Informationen bereitgestellt von DB-Engines
Nameatoti  Xaus Vergleich ausschliessenBangdb  Xaus Vergleich ausschliessenEsgynDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Converged and high performance database for device data, events, time series, document and graphEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFully managed big data interactive analytics platformAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellObject oriented DBMSDocument Store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS infocolumn orientedVektor 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
Punkte0,61
Rang#243  Overall
#10  Object oriented DBMS
Punkte0,16
Rang#338  Overall
#47  Document Stores
#32  Graph DBMS
#31  Time Series DBMS
Punkte0,25
Rang#312  Overall
#138  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1,52
Rang#153  Overall
#6  Vektor DBMS
Websiteatoti.iobangdb.comwww.esgyn.cnazure.microsoft.com/­services/­data-explorergithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationdocs.atoti.iodocs.bangdb.comdocs.microsoft.com/­en-us/­azure/­data-explorerweaviate.io/­developers/­weaviate
EntwicklerActiveViamSachin Sinha, BangDBEsgynMicrosoftWeaviate B.V.
Erscheinungsjahr2012201520192019
Aktuelle VersionBangDB 2.0, October 2021cloud service with continuous releases1.19, Mai 2023
Lizenz infoCommercial or Open Sourcekommerziell infofree versions availableOpen Source infoBSD 3kommerziellkommerziellOpen Source infocommercial license available with Weaviate Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJavaC, C++C++, JavaGo
Server BetriebssystemeLinuxLinuxgehostet
DatenschemaschemafreijaFixed schema with schema-less datatypes (dynamic)yes, maps to GraphQL interface
Typisierung infovordefinierte Datentypen, z.B. float oder dateyes: string, long, double, int, geospatial, stream, eventsjaja 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, XSLTneinneinjanein
Sekundärindizesja infosecondary, composite, nested, reverse, geospatialjaall fields are automatically indexedja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLMultidimensional Expressions (MDX)SQL like support with command line tooljaKusto Query Language (KQL), SQL subsetGraphQL is used as query language
APIs und andere ZugriffskonzeptePropriätäres Protokoll
RESTful HTTP API
ADO.NET
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenC
C#
C++
Java
Python
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored ProceduresPythonneinJava Stored ProceduresYes, possible languages: KQL, Python, Rnein
Triggersyes, Notifications (with Streaming only)neinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding, horizontal partitioningSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication between multi datacentersja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinjaSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenyes, multi-version concurrency control (MVCC)yes, optimistic concurrency controljajaja
Durability infoDauerhafte Speicherung der Datenyes, implements WAL (Write ahead log) as welljajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjayes, run db with in-memory only modeneinneinja
Berechtigungskonzept infoZugriffskontrolleyes (enterprise version only)Benutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
atotiBangdbEsgynDBMicrosoft Azure Data ExplorerWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
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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. ​
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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
atotiBangdbEsgynDBMicrosoft Azure Data ExplorerWeaviate
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