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DBMS > Datomic vs. Google Cloud Datastore vs. Microsoft Azure Data Explorer vs. RocksDB vs. Weaviate

Vergleich der Systemeigenschaften Datomic vs. Google Cloud Datastore vs. Microsoft Azure Data Explorer vs. RocksDB vs. Weaviate

Redaktionelle Informationen bereitgestellt von DB-Engines
NameDatomic  Xaus Vergleich ausschliessenGoogle Cloud Datastore  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenRocksDB  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungDBMS mit Fokus auf der Abspeicherung von historischen Daten und 'point-in-time queries'. Es verwendet Fremdsysteme zur Speicherung der DatenSelbst skalierendes NoSQL Datenbankservice in der Google Cloud PlattformFully managed big data interactive analytics platformEmbeddable persistent key-value store optimized for fast storage (flash and RAM)An AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellRelational DBMSDocument StoreRelational DBMS infocolumn orientedKey-Value StoreVektor DBMS
Sekundäre DatenbankmodelleDocument 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
Punkte1,66
Rang#144  Overall
#66  Relational DBMS
Punkte4,36
Rang#72  Overall
#12  Document Stores
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte3,41
Rang#86  Overall
#11  Key-Value Stores
Punkte1,52
Rang#153  Overall
#5  Vektor DBMS
Websitewww.datomic.comcloud.google.com/­datastoreazure.microsoft.com/­services/­data-explorerrocksdb.orggithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationdocs.datomic.comcloud.google.com/­datastore/­docsdocs.microsoft.com/­en-us/­azure/­data-explorergithub.com/­facebook/­rocksdb/­wikiweaviate.io/­developers/­weaviate
EntwicklerCognitectGoogleMicrosoftFacebook, Inc.Weaviate B.V.
Erscheinungsjahr20122008201920132019
Aktuelle Version1.0.7075, Dezember 2023cloud service with continuous releases9.2.1, Mai 20241.19, Mai 2023
Lizenz infoCommercial or Open Sourcekommerziell infoLimitierte Edition gratiskommerziellkommerziellOpen Source infoBSDOpen Source infocommercial license available with Weaviate Enterprise
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjajaneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheJava, ClojureC++Go
Server BetriebssystemeAlle Betriebssysteme mit einer Java VMgehostetgehostetLinux
DatenschemajaschemafreiFixed schema with schema-less datatypes (dynamic)schemafreiyes, maps to GraphQL interface
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja, Details hierja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesneinja 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, XSLTneinneinjaneinnein
Sekundärindizesjajaall fields are automatically indexedneinja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLneinSQL-like query language (GQL)Kusto Query Language (KQL), SQL subsetneinGraphQL is used as query language
APIs und andere ZugriffskonzepteRESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
C++ API
Java API
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Go
Java
Perl
Python
Ruby
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored Proceduresja infoTransaction Functionsmit Google App EngineYes, possible languages: KQL, Python, Rneinnein
TriggersBy using transaction functionsCallbacks mit Google Apps Engineja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenkeine infoBut extensive use of caching in the application peersShardingSharding infoImplicit feature of the cloud servicehorizontal partitioningSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenkeine infoBut extensive use of caching in the application peersMulti-source replication using Paxosja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.jaja
MapReduce infoBietet ein API für Map/Reduce Operationenneinja infomittels Google Cloud DataflowSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinja infovia ReferenceProperties or Ancestor pathsneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsneinjanein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenja infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)jajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja inforecommended only for testing and developmentneinneinjaja
Berechtigungskonzept infoZugriffskontrolleneinAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Azure Active Directory AuthenticationneinAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
DatomicGoogle Cloud DatastoreMicrosoft Azure Data ExplorerRocksDBWeaviate
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
DatomicGoogle Cloud DatastoreMicrosoft Azure Data ExplorerRocksDBWeaviate
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