DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Informationen zu relationalen und NoSQL DatenbankmanagementsystemenEin Service von solid IT

DBMS > Ignite vs. Linter vs. Microsoft Azure Data Explorer vs. Milvus vs. QuestDB

Vergleich der Systemeigenschaften Ignite vs. Linter vs. Microsoft Azure Data Explorer vs. Milvus vs. QuestDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameIgnite  Xaus Vergleich ausschliessenLinter  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenMilvus  Xaus Vergleich ausschliessenQuestDB  Xaus Vergleich ausschliessen
KurzbeschreibungApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.RDBMS for high security requirementsFully managed big data interactive analytics platformA DBMS designed for efficient storage of vector data and vector similarity searchesA high performance open source SQL database for time series data
Primäres DatenbankmodellKey-Value Store
Relational DBMS
Relational DBMSRelational DBMS infocolumn orientedVektor DBMSTime Series 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
Relational DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte3,11
Rang#96  Overall
#15  Key-Value Stores
#49  Relational DBMS
Punkte0,12
Rang#350  Overall
#152  Relational DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte2,78
Rang#103  Overall
#3  Vektor DBMS
Punkte2,70
Rang#105  Overall
#8  Time Series DBMS
Websiteignite.apache.orglinter.ruazure.microsoft.com/­services/­data-explorermilvus.ioquestdb.io
Technische Dokumentationapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­data-explorermilvus.io/­docs/­overview.mdquestdb.io/­docs
EntwicklerApache Software Foundationrelex.ruMicrosoftQuestDB Technology Inc
Erscheinungsjahr20151990201920192014
Aktuelle VersionApache Ignite 2.6cloud service with continuous releases2.3.4, Jänner 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0kommerziellkommerziellOpen Source infoApache Version 2.0Open Source infoApache 2.0
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.
Zilliz Cloud – Cloud-native service for Milvus
ImplementierungsspracheC++, Java, .NetC und C++C++, GoJava (Zero-GC), C++, Rust
Server BetriebssystemeLinux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
gehostetLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Windows
DatenschemajajaFixed schema with schema-less datatypes (dynamic)ja infoschema-free via InfluxDB Line Protocol
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-typesVector, Numeric and Stringja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTjaneinjaneinnein
Sekundärindizesjajaall fields are automatically indexedneinnein
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLjaKusto Query Language (KQL), SQL subsetneinSQL with time-series extensions
APIs und andere ZugriffskonzepteHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietäres Protokoll
RESTful HTTP API
Spring Data
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Unterstützte ProgrammiersprachenC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-seitige Scripts infoStored Proceduresyes (compute grid and cache interceptors can be used instead)ja infoproprietary syntax with the possibility to convert from PL/SQLYes, possible languages: KQL, Python, Rneinnein
Triggersyes (cache interceptors and events)jaja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyneinnein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingkeineSharding infoImplicit feature of the cloud serviceShardinghorizontal partitioning (by timestamps)
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenyes (replicated cache)Source-Replica Replikationja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with eventual consistency
MapReduce infoBietet ein API für Map/Reduce Operationenyes (compute grid and hadoop accelerator)neinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinjaneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDneinneinACID for single-table writes
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 haltenjaneinjaja infothrough memory mapped files
Berechtigungskonzept infoZugriffskontrolleSecurity Hooks for custom implementationsBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardAzure Active Directory AuthenticationRole based access control and fine grained access rights
Weitere Informationen bereitgestellt vom Systemhersteller
IgniteLinterMicrosoft Azure Data ExplorerMilvusQuestDB
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» mehr
Relational model with native time series support Column-based storage and time partitioned...
» mehr
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» mehr
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» mehr
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» mehr
Financial tick data Industrial IoT Application Metrics Monitoring
» mehr
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» mehr
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» mehr
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» mehr
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» mehr
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» mehr
Neuigkeiten

QuestDB 8.0: Major Release
23. Mai 2024

QuestDB and Raspberry Pi 5 benchmark, a pocket-sized powerhouse
8. Mai 2024

Build your own resource monitor with QuestDB and Grafana
6. Mai 2024

Does "vpmovzxbd" Scare You? Here's Why it Doesn't Have To
12. April 2024

Create an ADS-B flight radar with QuestDB and a Raspberry Pi
8. April 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
IgniteLinterMicrosoft Azure Data ExplorerMilvusQuestDB
DB-Engines Blog Posts

Vector databases
2. Juni 2023, Matthias Gelbmann

alle anzeigen

Erwähnungen in aktuellen Nachrichten

GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024
8. Februar 2024, PR Newswire

Apache Ignite: An Overview
6. September 2023, Open Source For You

GridGain Unified Real-Time Data Platform Version 8.9 Addresses Today's More Complex Real-Time Data Processing ...
12. Oktober 2023, GlobeNewswire

What is Apache Ignite? How is Apache Ignite Used?
18. Juli 2022, The Stack

Real-time in-memory OLTP and Analytics with Apache Ignite on AWS | Amazon Web Services
14. Mai 2016, AWS Blog

bereitgestellt von Google News

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates
31. Mai 2024, Microsoft

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

bereitgestellt von Google News

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

AI-Powered Search Engine With Milvus Vector Database on Vultr
31. Januar 2024, SitePoint

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

Zilliz Unveils Game-Changing Features for Vector Search
22. März 2024, Datanami

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

bereitgestellt von Google News

Kubernetes Annotations: Harnessing Power in Operator Development
30. November 2023, hackernoon.com

QuestDB snares $12M Series A with hosted version coming soon
3. November 2021, TechCrunch

SQL Extensions for Time-Series Data in QuestDB
11. Januar 2021, Towards Data Science

QuestDB gets $12M Series A funding amid growing interest in time-series databases
3. November 2021, SiliconANGLE News

Aquis Exchange goes live with QuestDB for real time monitoring
2. November 2022, FinanceFeeds

bereitgestellt von Google News



Teilen sie diese Seite mit ihrem Netzwerk

Featured Products

Neo4j logo

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

Milvus logo

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