--- description: Detaillierte Informationen über Azure Synapse Analytics zu Benutzerfreundlichkeit, Funktionen, Kosten, Vor- und Nachteilen aus verifizierten Nutzer-Erfahrungen. Lies Ratings & Bewertungen und entdecke ähnliche Tools dank Capterra Austria. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Azure Synapse Analytics Kosten, Erfahrungen & Bewertungen - Capterra Österreich 2026 --- Breadcrumb: [Startseite](/) > [Data-Warehouse-Systeme](/directory/31116/data-warehouse/software) > [Azure Synapse Analytics](/software/170434/sql-data-warehouse) # Azure Synapse Analytics Canonical: https://www.capterra.at/software/170434/sql-data-warehouse Seite: 1 / 3\ Zurück: [Nächste Seite](https://www.capterra.at/software/170434/sql-data-warehouse?page=2) > Webbasierte Data-Warehouse-Anwendung mit SQL-Analytics-Funktionalität, die Daten aus mehreren Quellen in einer Datenbank erfasst. > > Bewertung: **4.3/5** von 32 Nutzern. Top bewertet für **Weiterempfehlungsquote**. ----- ## Kurzstatistiken und Ratings | Metrik | Bewertung | Detail | | **Gesamt** | **4.3/5** | 32 Nutzerbewertungen | | Bedienkomfort | 4.1/5 | Auf Basis der Gesamtbewertungen | | Kundenbetreuung | 4.1/5 | Auf Basis der Gesamtbewertungen | | Preis-Leistungs-Verhältnis | 4.1/5 | Auf Basis der Gesamtbewertungen | | Funktionen | 4.3/5 | Auf Basis der Gesamtbewertungen | | Empfehlungsprozentsatz | 80% | (8/10 Weiterempfehlungsquote) | ## Über den Anbieter - **Unternehmen**: Microsoft - **Region**: Redmond, USA - **Gegründet**: 1975 ## Gewerblicher Kontext - **Zielgruppe**: 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+ - **Bereitstellungen und Plattformen**: Cloud, SaaS, webbasiert - **Unterstützte Sprachen**: Englisch - **Verfügbare Länder**: Vereinigte Staaten ## Funktionen - Berichterstattung / Analyse - Datenintegration - Datenmigration - ETL - Extract Transfer Load - Match & Merge ## Category - [Data-Warehouse-Systeme](https://www.capterra.at/directory/31116/data-warehouse/software) ## Alternativen 1. [Snowflake](https://www.capterra.at/software/148267/snowflake) — 4.7/5 (96 reviews) 2. [Google Cloud](https://www.capterra.at/software/170983/google-cloud-platform) — 4.7/5 (2264 reviews) 3. [Oracle Database](https://www.capterra.at/software/5938/oracle-database) — 4.6/5 (471 reviews) 4. [Datavault Builder](https://www.capterra.at/software/171319/datavault-builder) — 4.7/5 (11 reviews) 5. [Google Cloud BigQuery](https://www.capterra.at/software/1030695/google-cloud-bigquery) — 4.6/5 (35 reviews) ## Nutzerbewertungen ### "Awesome implementation of Data Warehouse and Apache Spark Capabilities\!" — 5.0/5 > **Shaunak** | *10. Februar 2023* | Informationstechnologie & -dienste | Empfehlungsbewertung: 9.0/10 > > **Vorteile**: Azure Synapse Analytics, according to me is very easy and convenient implementation of spark, SQL and data warehousing technologies.- You get notebooks to write ETL code and run it on distributed spark clusters.- Ingesting data to SQL pool is very easy.- Awesome and dedicated support via technical staff.- East US region now has Hardware Accelerated Spark Pools available for Deep Learning Capabilities. - All artifacts can easily be created via ARM templates. > > **Nachteile**: There are no cons, but there are few difficulties that I have faced:1) In Pipelines, when notebook activities are being triggered it should have a flag that makes2) When a notebook job is submitted to spark pool, session takes too long time to be spin up. Can't they move it to Kubernetes instead of traditional VMs? > > We are using Azure synapse to build out data pipelines. There are a lot of activities and templates available for no-code data movement setup. You can migrate from Databricks if you want. ----- ### "Low Costs Data Mining" — 4.0/5 > **Verifizierter Rezensent** | *8. Dezember 2021* | Informationstechnologie & -dienste | Empfehlungsbewertung: 7.0/10 > > **Vorteile**: To host the resources that create high costs when hosted within the company on the cloud, to process them and to reach the desired reports. > > **Nachteile**: There is no negative side except that many data are outside the company due to its nature. ----- ### "Azure Nightmare" — 2.0/5 > **Joseph** | *24. Juni 2022* | Verbraucherdienste | Empfehlungsbewertung: 0.0/10 > > **Vorteile**: The match and merge was amazing and the data integration was really good as well > > **Nachteile**: It was way too expensive for something that still had quite a few bugs in its software that needed worked out > > It wasn't the best I have dealt with better softwares in the past honestly ----- ### "Stable, cloud-based data warehouse service that continuously evolves" — 4.0/5 > **Verifizierter Rezensent** | *6. August 2018* | Öl & Energie | Empfehlungsbewertung: 8.0/10 > > **Vorteile**: Azure simplifies the creation, testing and management of cloud assets for us. It is relatively easy to use and offers full features for hosting web applications, websites, APIs, and a ton of others. It has good compatibility Windows and has been a fairly stable space in all the time we have worked with it. The ability to scale the services according to our needs is great especially for SME who may not have a physical office because we can eliminate the need to set-up physical servers. We can work from anywhere and access our files in the cloud which is very convenient. > > **Nachteile**: For people who aren’t very big fans of Microsoft, working with this program might not be their cup of tea either. But for those who live and breathe Microsoft, this is sheer heaven. The sheer number of functions, services, apps make it hard to identify what the most effective solution is, but they try to compensate for this by coming up with pre-packaged solutions. ----- ### "Azure SQL Data Warehouse" — 5.0/5 > **Joseph** | *15. Dezember 2018* | Lagerung | Empfehlungsbewertung: 10.0/10 > > **Vorteile**: As a cloud-based product, Azure SQl Data Warehouse is ready to go - no implementation headache. You can start to design your DW structure right away. Clear, easy to understand online instructions and a great user interface. > > **Nachteile**: A bit of a learning curve understanding the Azure environment if you are not used to it. > > Implementing a DW without the added cost and support issues of an on-site DW implementation. ----- Seite: 1 / 3\ Zurück: [Nächste Seite](https://www.capterra.at/software/170434/sql-data-warehouse?page=2) ## Links - [Auf Capterra anzeigen](https://www.capterra.at/software/170434/sql-data-warehouse) ## Diese Seite ist in den folgenden Sprachen verfügbar | Sprache | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## Strukturierte Daten