DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Apache Druid vs. eXtremeDB vs. Heroic vs. Microsoft Azure Data Explorer vs. Weaviate

Vergleich der Systemeigenschaften Apache Druid vs. eXtremeDB vs. Heroic vs. Microsoft Azure Data Explorer vs. Weaviate

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Druid  Xaus Vergleich ausschliesseneXtremeDB  Xaus Vergleich ausschliessenHeroic  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenWeaviate  Xaus Vergleich ausschliessen
KurzbeschreibungOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataNatively in-memory DBMS with options for persistency, high-availability and clusteringTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully managed big data interactive analytics platformAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primäres DatenbankmodellRelational DBMS
Time Series DBMS
Relational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS infocolumn orientedVektor 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
Punkte3,25
Rang#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Punkte0,80
Rang#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Punkte0,46
Rang#265  Overall
#22  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte1,52
Rang#153  Overall
#5  Vektor DBMS
Websitedruid.apache.orgwww.mcobject.comgithub.com/­spotify/­heroicazure.microsoft.com/­services/­data-explorergithub.com/­weaviate/­weaviate
weaviate.io
Technische Dokumentationdruid.apache.org/­docs/­latest/­designwww.mcobject.com/­docs/­extremedb.htmspotify.github.io/­heroicdocs.microsoft.com/­en-us/­azure/­data-explorerweaviate.io/­developers/­weaviate
EntwicklerApache Software Foundation and contributorsMcObjectSpotifyMicrosoftWeaviate B.V.
Erscheinungsjahr20122001201420192019
Aktuelle Version29.0.1, April 20248.2, 2021cloud service with continuous releases1.19, Mai 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache license v2kommerziellOpen Source infoApache 2.0kommerziellOpen 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 und C++JavaGo
Server BetriebssystemeLinux
OS X
Unix
AIX
HP-UX
Linux
macOS
Solaris
Windows
gehostet
Datenschemaja infoschema-less columns are supportedjaschemafreiFixed schema with schema-less datatypes (dynamic)yes, maps to GraphQL interface
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaja 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, XSLTneinnein infosupport of XML interfaces availableneinjanein
Sekundärindizesjajaja infovia Elasticsearchall fields are automatically indexedja infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL for queryingja infowith the option: eXtremeSQLneinKusto Query Language (KQL), SQL subsetGraphQL is used as query language
APIs und andere ZugriffskonzepteJDBC
RESTful HTTP/JSON API
.NET Client API
JDBC
JNI
ODBC
Proprietäres Protokoll
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Unterstützte ProgrammiersprachenClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScript / TypeScript
Python
Server-seitige Scripts infoStored ProceduresneinjaneinYes, possible languages: KQL, Python, Rnein
Triggersneinja infoby defining eventsneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infomanual/auto, time-basedhorizontale Partitionierung / shardingShardingSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenja, durch HDFS, S3 oder andere Storage EnginesActive Replication Fabric™ for IoT
Multi-Source Replikation infoby means of eXtremeDB Cluster option
Source-Replica Replikation infoby means of eXtremeDB High Availability option
jaja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.ja
MapReduce infoBietet ein API für Map/Reduce OperationenneinneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparknein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Eventual Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACIDneinneinnein
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjaja infoOptimistic (MVCC) and pessimistic (locking) strategies availablejajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjaneinneinja
Berechtigungskonzept infoZugriffskontrolleRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAzure Active Directory AuthenticationAPI Keys
OpenID Connect Discovery
Weitere Informationen bereitgestellt vom Systemhersteller
Apache DruideXtremeDBHeroicMicrosoft Azure Data ExplorerWeaviate
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» mehr
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» mehr
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» mehr
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» mehr
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» mehr
As a database supporting the development of generative AI and semantic search applications...
» mehr
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» mehr
All companies that have data. ​
» mehr
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» mehr
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» mehr
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» mehr
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» mehr

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen

Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
Apache DruideXtremeDBHeroicMicrosoft Azure Data ExplorerWeaviate
DB-Engines Blog Posts

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

alle anzeigen

Erwähnungen in aktuellen Nachrichten

Apache Druid Wins Best Big Data Product in the 2023 BigDATAwire Readers' Choice Awards
26. Januar 2024, Datanami

'Lucifer' Botnet Turns Up the Heat on Apache Hadoop Servers
21. Februar 2024, Dark Reading

New DDoS malware Attacking Apache big-data stack, Hadoop, & Druid Servers
26. Februar 2024, GBHackers

Apache Druid Takes Its Place In The Pantheon Of Databases
16. Juni 2022, The Next Platform

How to connect DataGrip to Apache Druid | by Zisis Flokas
18. Oktober 2021, Towards Data Science

bereitgestellt von Google News

Latest embedded DBMS supports asymmetric multiprocessing systems
24. Mai 2023, Embedded

McObject Delivers eXtremeDB 8.4 Improving Performance, Security, and Developer Productivity
13. Mai 2024, Embedded Computing Design

McObject LLC Joins STMicroelectronics Partner Program to Expand, Enhance and Accelerate Customer
6. Juni 2024, EIN News

The Data in Hard Real-time SCADA Systems Lets Companies Do More with Less
11. August 2023, Automation.com

McObject Announces the Release of eXtremeDB/rt 1.2
23. Mai 2023, Embedded Computing Design

bereitgestellt von Google News

Review: Google Bigtable scales with ease
7. September 2016, InfoWorld

bereitgestellt von Google News

Update records in a Kusto Database (public preview) | Azure updates
20. Februar 2024, Microsoft

Public Preview: Azure Data Explorer connector for Apache Flink | Azure updates
8. Januar 2024, Microsoft

New Features for graph-match KQL Operator: Enhanced Pattern Matching and Cycle Control | Azure updates
24. Januar 2024, Microsoft

Public Preview: Azure Data Explorer Add-On for Splunk | Azure updates
3. Oktober 2023, Microsoft

Azure Data Explorer: Log and telemetry analytics benchmark
16. August 2022, Microsoft

bereitgestellt von Google News

Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ...
24. Januar 2024, AWS Blog

Foley Represents Cortical Ventures in $50M Series B Round for Weaviate
17. Dezember 2023, Foley & Lardner LLP

Weaviate Strengthens Partnership with AWS to Make it Easier for Developers to Build Generative AI Applications
16. November 2023, Datanami

Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases
18. Juli 2023, Towards Data Science

Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology ...
21. April 2023, PR Newswire

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Präsentieren Sie hier Ihr Produkt