--- description: Learn more about Azure Synapse Analytics pricing, benefits, and disadvantages for your business in Canada. Read verified software reviews and find tools that fit your business needs. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Azure Synapse Analytics Pricing, Reviews & Features - Capterra Canada 2026 --- Breadcrumb: [Home](/) > [Data Warehouse Software](/directory/31116/data-warehouse/software) > [Azure Synapse Analytics](/software/170434/sql-data-warehouse) # Azure Synapse Analytics Canonical: https://www.capterra.ca/software/170434/sql-data-warehouse Page: 1 / 3\ Next: [Next page](https://www.capterra.ca/software/170434/sql-data-warehouse?page=2) > Azure Synapse Analytics is a cloud data warehouse that provides limitless analytics and accelerated time to insight. > > Verdict: Rated **4.3/5** by 32 users. Top-rated for **Likelihood to recommend**. ----- ## Overview ### Who Uses Azure Synapse Analytics? Designed for large businesses in finance, utilities, consumer goods, and other industries, it is an analytics platform that provides data warehousing and big data analytics. ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.3/5** | 32 Reviews | | Ease of Use | 4.1/5 | Based on overall reviews | | Customer Support Software | 4.1/5 | Based on overall reviews | | Value for Money | 4.1/5 | Based on overall reviews | | Features | 4.3/5 | Based on overall reviews | | Recommendation percentage | 80% | (8/10 Likelihood to recommend) | ## About the vendor - **Company**: Microsoft - **Location**: Redmond, US - **Founded**: 1975 ## Commercial Context - **Pricing model**: Per Feature - **Pricing Details**: Contact Microsoft for pricing details. - **Target Audience**: 501–1,000, 1,001–5,000, 5,001–10,000, 10,000+ - **Deployment & Platforms**: Cloud, SaaS, Web-based - **Supported Languages**: English - **Available Countries**: United States ## Features - Data Integration - Data Migration - ETL - Extract Transfer Load - Match & Merge - Reporting/Analytics ## Category - [Data Warehouse Software](https://www.capterra.ca/directory/31116/data-warehouse/software) ## Alternatives 1. [Snowflake](https://www.capterra.ca/software/148267/snowflake) — 4.7/5 (96 reviews) 2. [Google Cloud](https://www.capterra.ca/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews) 3. [Oracle Database](https://www.capterra.ca/software/5938/oracle-database) — 4.6/5 (471 reviews) 4. [WhereScape RED](https://www.capterra.ca/software/171316/wherescape-red) — 4.1/5 (27 reviews) 5. [Datavault Builder](https://www.capterra.ca/software/171319/datavault-builder) — 4.7/5 (11 reviews) ## Reviews ### "Awesome implementation of Data Warehouse and Apache Spark Capabilities\!" — 5.0/5 > **Shaunak** | *February 10, 2023* | Information Technology & Services | Recommendation rating: 9.0/10 > > **Pros**: 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. > > **Cons**: 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 > **Verified Reviewer** | *December 8, 2021* | Information Technology & Services | Recommendation rating: 7.0/10 > > **Pros**: 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. > > **Cons**: There is no negative side except that many data are outside the company due to its nature. ----- ### "Azure Nightmare" — 2.0/5 > **Joseph** | *June 24, 2022* | Consumer Services | Recommendation rating: 0.0/10 > > **Pros**: The match and merge was amazing and the data integration was really good as well > > **Cons**: 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 > **Verified Reviewer** | *August 6, 2018* | Oil & Energy | Recommendation rating: 8.0/10 > > **Pros**: 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. > > **Cons**: 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** | *December 15, 2018* | Warehousing | Recommendation rating: 10.0/10 > > **Pros**: 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. > > **Cons**: 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. ----- Page: 1 / 3\ Next: [Next page](https://www.capterra.ca/software/170434/sql-data-warehouse?page=2) ## Links - [View on Capterra](https://www.capterra.ca/software/170434/sql-data-warehouse) ## This page is available in the following languages | Locale | 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 | | ----- ## Structured Data