DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von Redgate Software

DBMS > HEAVY.AI vs. InfluxDB vs. Microsoft Azure AI Search vs. Microsoft Azure Table Storage vs. Milvus

Vergleich der Systemeigenschaften HEAVY.AI vs. InfluxDB vs. Microsoft Azure AI Search vs. Microsoft Azure Table Storage vs. Milvus

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenMicrosoft Azure AI Search  Xaus Vergleich ausschliessenMicrosoft Azure Table Storage  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessen
KurzbeschreibungA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDBMS for storing time series, events and metricsSearch-as-a-service for web and mobile app developmentA Wide Column Store for rapid development using massive semi-structured datasetsA DBMS designed for efficient storage of vector data and vector similarity searches
Primäres DatenbankmodellRelational DBMSTime Series DBMSSuchmaschineWide Column StoreVektor DBMS
Sekundäre DatenbankmodelleSpatial DBMSSpatial DBMS infowith GEO packageVektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,41
Rang#153  Overall
#71  Relational DBMS
Punkte22,12
Rang#28  Overall
#1  Time Series DBMS
Punkte5,75
Rang#58  Overall
#7  Suchmaschinen
Punkte3,55
Rang#80  Overall
#6  Wide Column Stores
Punkte3,01
Rang#89  Overall
#4  Vektor DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­en-us/­services/­storage/­tablesmilvus.io
Technische Dokumentationdocs.heavy.aidocs.influxdata.com/­influxdblearn.microsoft.com/­en-us/­azure/­searchmilvus.io/­docs/­overview.md
EntwicklerHEAVY.AI, Inc.MicrosoftMicrosoft
Erscheinungsjahr20162013201520122019
Aktuelle Version5.10, Jänner 20222.7.6, April 2024V12.4.4, Mai 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMIT-License; commercial enterprise version availablekommerziellkommerziellOpen Source infoApache Version 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjajanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
ImplementierungsspracheC++ and CUDAGoC++, Go
Server BetriebssystemeLinuxLinux
OS X infothrough Homebrew
gehostetgehostetLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Datenschemajaschemafreijaschemafrei
Typisierung infovordefinierte Datentypen, z.B. float oder datejaNumeric data and StringsjajaVector, Numeric and String
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinnein
Sekundärindizesneinneinjaneinnein
SQL infoSupport of SQLjaSQL-like query languageneinneinnein
APIs und andere ZugriffskonzepteJDBC
ODBC
Thrift
Vega
HTTP API
JSON over UDP
RESTful HTTP APIRESTful HTTP APIRESTful HTTP API
Unterstützte ProgrammiersprachenAll languages supporting JDBC/ODBC/Thrift
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C#
Java
JavaScript
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresneinneinneinneinnein
Triggersneinneinneinneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoRound robinSharding infoin enterprise version onlySharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikationfrei wählbarer Replikationsfaktor infoin enterprise version onlyja infoImplicit feature of the cloud serviceja infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinneinoptimistic Lockingnein
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 haltenjaja infoDepending on used storage engineneinneinja
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardEinfache Rechteverwaltung mit Benutzeraccountsja infousing Azure authenticationAccess rights based on private key authentication or shared access signaturesRole based access control and fine grained access rights
Weitere Informationen bereitgestellt vom Systemhersteller
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfluxDBMicrosoft Azure AI SearchMicrosoft Azure Table StorageMilvus
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Milvus is an open-source and cloud-native vector database built for production-ready...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Highly available, versatile, and robust with millisecond latency. Supports batch...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» mehr
Neuigkeiten

Deploying InfluxDB and Telegraf to Monitor Kubernetes
17. September 2024

Telegraf 1.32 Release Notes
13. September 2024

An Introductory Guide to Cloud Security for IIoT
12. September 2024

Building Real-Time Android Apps with InfluxDB Cloud: Data Logging, Querying, and Visualization
10. September 2024

How to Use InfluxDB for Real-Time SpringBoot Application Monitoring
5. September 2024

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
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfluxDBMicrosoft Azure AI SearchMicrosoft Azure Table StorageMilvus
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
20. Juli 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

alle anzeigen

Vector databases
2. Juni 2023, Matthias Gelbmann

alle anzeigen

Erwähnungen in aktuellen Nachrichten

Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19. September 2024, Unite.AI

5 Q’s for Mike Flaxman, Vice President of Heavy.AI
15. August 2024, Center for Data Innovation

HEAVY.AI Accelerates Big Data Analytics with Vultr's High-Performance GPU Cloud Infrastructure
11. September 2024, insideBIGDATA

HEAVY.AI Accelerates Big Data Analytics with Vultr’s High-Performance GPU Cloud Infrastructure
11. September 2024, insideBIGDATA

Meta delivers strong earnings, but weak guidance and heavy AI spending prompt investors to bail
24. April 2024, SiliconANGLE News

bereitgestellt von Google News

InfluxData's Latest Updates Optimize Time Series Data for Better Performance, Scale and Management
19. September 2024, Integration Developers

Run and manage open source InfluxDB databases with Amazon Timestream
14. März 2024, AWS Blog

InfluxData avoids ’AI magic beans’ in InfluxDB time series database update for enterprises
4. September 2024, VentureBeat

InfluxData makes performance, storage improvements to InfluxDB 3.0
4. September 2024, InfoWorld

InfluxData Brings Higher Performance and New Features to InfluxDB 3.0 to Power Massive Time Series Workloads at Scale
4. September 2024, Yahoo Finance

bereitgestellt von Google News

Announcing updates to Azure AI Search to help organizations build and scale generative AI applications
4. April 2024, Microsoft

From code to production: New ways Azure helps you build transformational AI experiences
21. Mai 2024, Microsoft

Public Preview of Azure OpenAI and AI Search in-app connectors for Logic Apps (Standard)
2. April 2024, Microsoft

Boost your AI with Azure's new Phi model, streamlined RAG, and custom generative AI models
22. August 2024, Microsoft

Microsoft boosts Azure AI Search with more storage and support for big RAG apps
5. April 2024, VentureBeat

bereitgestellt von Google News

How to use Azure Table storage in .Net
10. Juli 2024, InfoWorld

Working with Azure to Use and Manage Data Lakes
23. Juli 2024, Simplilearn

Azure Cosmos DB Data Migration tool imports from Azure Table storage
5. Mai 2015, Microsoft

How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB
9. Juli 2021, hackernoon.com

How to write data to Azure Table Store with an Azure Function
14. April 2017, Experts Exchange

bereitgestellt von Google News

AI-Powered Search Engine With Milvus Vector Database on Vultr - SitePoint
30. August 2024, SitePoint

How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
26. März 2024, The New Stack

IBM watsonx.data’s integrated vector database: unify, prepare, and deliver your data for AI
9. April 2024, ibm.com

10 top vector database options for similarity searches
8. August 2024, TechTarget

Milvus 2.4 Unveils Game-Changing Features for Enhanced Vector Search
20. März 2024, GlobeNewswire

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB 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

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

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

Präsentieren Sie hier Ihr Produkt