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DBMS > HEAVY.AI vs. InfluxDB vs. Microsoft Azure AI Search vs. Raima Database Manager vs. Realm

Vergleich der Systemeigenschaften HEAVY.AI vs. InfluxDB vs. Microsoft Azure AI Search vs. Raima Database Manager vs. Realm

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 ausschliessenRaima Database Manager infoformerly named db_Vista  Xaus Vergleich ausschliessenRealm  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 developmentRDBMS with a small footprint, either embedded into an application or used as a database serverA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primäres DatenbankmodellRelational DBMSTime Series DBMSSuchmaschineRelational DBMS
Time Series DBMS
Document Store
Sekundäre DatenbankmodelleSpatial DBMSSpatial DBMS infowith GEO packageVektor DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,77
Rang#141  Overall
#65  Relational DBMS
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte5,59
Rang#63  Overall
#7  Suchmaschinen
Punkte0,46
Rang#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Punkte7,60
Rang#52  Overall
#9  Document Stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­en-us/­services/­searchraima.comrealm.io
Technische Dokumentationdocs.heavy.aidocs.influxdata.com/­influxdblearn.microsoft.com/­en-us/­azure/­searchdocs.raima.comrealm.io/­docs
EntwicklerHEAVY.AI, Inc.MicrosoftRaima Inc.Realm, acquired by MongoDB in May 2019
Erscheinungsjahr20162013201519842014
Aktuelle Version5.10, Jänner 20222.7.6, April 2024V115, Juni 2021
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMIT-License; commercial enterprise version availablekommerziellkommerziellOpen Source
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.
ImplementierungsspracheC++ and CUDAGoC
Server BetriebssystemeLinuxLinux
OS X infothrough Homebrew
gehostetAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Android
Backend: serverlos
iOS
Windows
Datenschemajaschemafreijajaja
Typisierung infovordefinierte Datentypen, z.B. float oder datejaNumeric data and Stringsjajaja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein infoExporting/Importing of XML structures possiblenein
Sekundärindizesneinneinjajaja
SQL infoSupport of SQLjaSQL-like query languageneinjanein
APIs und andere ZugriffskonzepteJDBC
ODBC
Thrift
Vega
HTTP API
JSON over UDP
RESTful HTTP APIADO.NET
JDBC
ODBC
RESTful 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++
Objective-C
PL/SQL
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-seitige Scripts infoStored Proceduresneinneinneinja infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationnein inforuns within the applications so server-side scripts are unnecessary
Triggersneinneinneinjaja infoChange Listeners
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoRound robinSharding infoin enterprise version onlySharding infoImplicit feature of the cloud servicehorizontale Partitionierungkeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikationfrei wählbarer Replikationsfaktor infoin enterprise version onlyja infoImplicit feature of the cloud serviceSource-Replica Replikationkeine
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinjanein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajayes, multi-version concurrency control (MVCC)
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaja infoDepending on used storage engineneinjaja infoIn-Memory realm
Berechtigungskonzept infoZugriffskontrolleBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardEinfache Rechteverwaltung mit Benutzeraccountsja infousing Azure authenticationneinja
Weitere Informationen bereitgestellt vom Systemhersteller
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfluxDBMicrosoft Azure AI SearchRaima Database Manager infoformerly named db_VistaRealm
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Over 30 000 applications developers worldwide have field-tested RDM products More...
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» mehr
Neuigkeiten

A Detailed Guide to C# TimeSpan
2. Mai 2024

The Final Frontier: Using InfluxDB on the International Space Station
30. April 2024

Getting the Current Time in C#: A Guide
26. April 2024

Sync Data from InfluxDB v2 to v3 With the Quix Template
8. April 2024

Infrastructure Monitoring Basics: Getting Started with Telegraf, InfluxDB, and Grafana
5. April 2024

Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience
29. Februar 2024

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10. Juni 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8. Oktober 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1. Oktober 2020

Raima Expands Their Reseller Network in Asia
19. Mai 2020

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Weitere Ressourcen
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfluxDBMicrosoft Azure AI SearchRaima Database Manager infoformerly named db_VistaRealm
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

MySQL, PostgreSQL and Redis are the winners of the March ranking
2. März 2016, Paul Andlinger

alle anzeigen

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