--- description: Scopri le funzionalità di Azure Synapse Analytics, i dettagli del prodotto, chi utilizza il software e quali sono i prodotti suggeriti. Attraverso le recensioni di utenti verificati potrai capire com’è la user experience, l’assistenza post-vendita e molto altro. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Azure Synapse Analytics - Prezzi, recensioni, informazioni - Capterra Italia 2026 --- Breadcrumb: [Home](/) > [Software per data warehouse](/directory/31116/data-warehouse/software) > [Azure Synapse Analytics](/software/170434/sql-data-warehouse) # Azure Synapse Analytics Canonical: https://www.capterra.it/software/170434/sql-data-warehouse Pagina: 1/3\ Avanti: [Pagina successiva](https://www.capterra.it/software/170434/sql-data-warehouse?page=2) > Applicazione di Data Warehouse basata sul web con funzionalità di analisi SQL che trasforma i dati da più fonti in un unico database. > > Conclusione: valutazione di **4.3/5** stelle assegnate da 32 utenti. Miglior punteggio per il parametro **Lo consiglieresti?**. ----- ## Statistiche e valutazioni | Parametro | Valutazione | Dettaglio | | **Nel complesso** | **4.3/5** | 32 Recensioni | | Facilità d'uso | 4.1/5 | Sulla base delle recensioni complessive | | Assistenza clienti | 4.1/5 | Sulla base delle recensioni complessive | | Rapporto qualità-prezzo | 4.1/5 | Sulla base delle recensioni complessive | | Funzionalità | 4.3/5 | Sulla base delle recensioni complessive | | Percentuale di raccomandazione | 80% | (8/10 Lo consiglieresti?) | ## Informazioni sul fornitore - **Azienda**: Microsoft - **Area geografica**: Redmond, USA - **Anno di fondazione**: 1975 ## Contesto commerciale - **Pubblico target**: 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+ - **Implementazione e piattaforme**: Cloud, SaaS, Web - **Lingue supportate**: inglese - **Paesi disponibili**: Stati Uniti ## Funzionalità - Corrispondenza e unione - Creazione di report/analisi - ETL - Extract Transfer Load - Integrazione di dati - Migrazione di dati ## Categoria - [Software per data warehouse](https://www.capterra.it/directory/31116/data-warehouse/software) ## Alternative 1. [Google Cloud](https://www.capterra.it/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews) 2. [Oracle Database](https://www.capterra.it/software/5938/oracle-database) — 4.6/5 (471 reviews) 3. [Domo](https://www.capterra.it/software/119119/domo) — 4.3/5 (329 reviews) 4. [Hevo](https://www.capterra.it/software/176435/hevo) — 4.7/5 (110 reviews) 5. [AnalyticsCreator](https://www.capterra.it/software/1062778/analyticscreator) — 4.9/5 (13 reviews) ## Recensioni ### "Awesome implementation of Data Warehouse and Apache Spark Capabilities\!" — 5.0/5 > **Shaunak** | *10 febbraio 2023* | Servizi e tecnologie dell'informazione | Tasso di raccomandazione: 9.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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 > **Utente Verificato** | *8 dicembre 2021* | Servizi e tecnologie dell'informazione | Tasso di raccomandazione: 7.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: There is no negative side except that many data are outside the company due to its nature. ----- ### "Azure Nightmare" — 2.0/5 > **Joseph** | *24 giugno 2022* | Servizi ai consumatori | Tasso di raccomandazione: 0.0/10 > > **Vantaggi**: The match and merge was amazing and the data integration was really good as well > > **Inconvenienti**: 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 > **Utente Verificato** | *6 agosto 2018* | Settore petrolifero ed energetico | Tasso di raccomandazione: 8.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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 dicembre 2018* | Magazzinaggio | Tasso di raccomandazione: 10.0/10 > > **Vantaggi**: 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. > > **Inconvenienti**: 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. ----- Pagina: 1/3\ Avanti: [Pagina successiva](https://www.capterra.it/software/170434/sql-data-warehouse?page=2) ## Link - [Visualizza su Capterra](https://www.capterra.it/software/170434/sql-data-warehouse) ## Questa pagina è disponibile nelle seguenti lingue | Lingua | 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 | | ----- ## Dati strutturati