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DBMS > InfluxDB vs. Memgraph vs. Microsoft Azure AI Search vs. SQream DB vs. Vertica

Vergleich der Systemeigenschaften InfluxDB vs. Memgraph vs. Microsoft Azure AI Search vs. SQream DB vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameInfluxDB  Xaus Vergleich ausschliessenMemgraph  Xaus Vergleich ausschliessenMicrosoft Azure AI Search  Xaus Vergleich ausschliessenSQream DB  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungDBMS for storing time series, events and metricsAn open source graph database built for real-time streaming and compatible with Neo4jSearch-as-a-service for web and mobile app developmenta GPU-based, columnar RDBMS for big data analytics workloadsCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primäres DatenbankmodellTime Series DBMSGraph DBMSSuchmaschineRelational DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageVektor DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte3,19
Rang#94  Overall
#8  Graph DBMS
Punkte5,52
Rang#59  Overall
#6  Suchmaschinen
Punkte0,74
Rang#224  Overall
#103  Relational DBMS
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewmemgraph.comazure.microsoft.com/­en-us/­services/­searchsqream.comwww.vertica.com
Technische Dokumentationdocs.influxdata.com/­influxdbmemgraph.com/­docslearn.microsoft.com/­en-us/­azure/­searchdocs.sqream.comvertica.com/­documentation
Social network pagesLinkedInTwitterFacebookGitHubDiscord
EntwicklerMemgraph LtdMicrosoftSQream TechnologiesOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20132017201520172005
Aktuelle Version2.7.6, April 2024V12022.1.6, Dezember 202212.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoBSL 1.1; commercial license for enterprise edition availablekommerziellkommerziellkommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheGoC und C++C++, CUDA, Haskell, Java, ScalaC++
Server BetriebssystemeLinux
OS X infothrough Homebrew
LinuxgehostetLinuxLinux
Datenschemaschemafreischemafrei und schema-optionaljajaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder dateNumeric data and Stringsjajaja, ANSI Standard SQL Typesyes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
SekundärindizesneinjaneinNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-like query languageneinneinjaFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteHTTP API
JSON over UDP
Bolt protocol
Cypher query language
RESTful HTTP API.Net
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte Programmiersprachen.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
C++
Java
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresneinneinuser defined functions in Pythonyes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinneinneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoin enterprise version onlySharding infodynamic graph partitioningSharding infoImplicit feature of the cloud servicehorizontal and vertical partitioninghorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infoin enterprise version onlyMulti-source replication using RAFTja infoImplicit feature of the cloud servicekeineMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinja inforelationships in graphsneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinACID infowith snapshot isolationneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjayes, multi-version concurrency control (MVCC)jajaja
Durability infoDauerhafte Speicherung der Datenjaja infowith periodic snapshot and write-ahead logging (WAL) of changesjajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja infoDepending on used storage enginejaneinnein
Berechtigungskonzept infoZugriffskontrolleEinfache Rechteverwaltung mit BenutzeraccountsUsers, roles and permissionsja infousing Azure authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
InfluxDBMemgraphMicrosoft Azure AI SearchSQream DBVertica infoOpenText™ Vertica™
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Memgraph directly connects to your streaming infrastructure so you and your team...
» mehr
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Business Source License ensures a future for the Memgraph community MAGE algorithm...
» mehr
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Graph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» mehr
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
You can check out our pricing model and licenses on the company website .
» mehr
Cost-based models and subscription-based models are both available. One license is...
» mehr
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sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

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Weitere Ressourcen
InfluxDBMemgraphMicrosoft Azure AI SearchSQream DBVertica infoOpenText™ Vertica™
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

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