Azure Synapse Analytics

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About Azure Synapse Analytics

Azure Synapse Analytics is a analytics platform from Microsoft that accelerates time to insight across enterprise data warehouses and big data systems. It combines enterprise SQL data warehousing, big data analytics, and integrated data integration so organizations can activate the value of their data faster. Azure Synapse Analytics includes features like Microsoft Foundry, Foundry Agent Service, Azure Copilot, and observability in the Foundry Control Plane. This platform also provides embedded security and compliance to help organizations maintain data integrity. Key capabilities: enterprise SQL data warehousing big data analytics integrated data integration data observability compliance and security Best for: data analysts and engineers that need to extract insights from large datasets.

Azure Synapse Analytics Details

Vendor

Microsoft

Year Launched

1975

Location

Microsoft Corporation, Redmond, WA 98052, USA

Deployment

cloud

Training Options

documentation, demo, account manager, community

Countries Served

All Countries

Languages

English, French, German, Spanish, Italian, Portuguese, Dutch, Russian, Chinese, Japanese, Korean, Turkish

Users

Data Engineers, Data Scientists, Database Administrators (DBAs), Business Analysts, Application Developers, Data Architects, IT Operations Teams, Machine Learning Engineers, BI Developers, Enterprise Decision Makers

Industries Served

Retail, Finance, Healthcare, Manufacturing, Government, Telecommunications, Energy, Education, Logistics and Supply Chain, E-commerce

Azure Synapse Analytics's In-App Market Place

Does Azure Synapse Analytics have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

Mini Apps

N/A

Pricing Options

Free trial

Free version

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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (CHF), CNY (¥), SEK (kr), NOK (kr), DKK (kr), INR (₹), SGD (S$), MXN (Mex$), HKD (HK$), KRW (₩), BRL (R$).

Pros & Cons

Integration Power: Combines services like Azure Data Factory, Git, and access management in one portal.
Scalability & Cost Control: Scale DW units up/down and pause compute to save costs.
User-Friendly Web UI: Highly praised for ease of use and fast query performance.
Big Data Ready: Suitable for building large-scale data marts and handling massive storage.
Operational Visibility: Ability to monitor and terminate running queries.
Support & Documentation: Good implementation support and helpful resources.
Virtual Flexibility: Pay-as-you-go model and ability to shut down resources when not in use.

Desktop Experience Issues: SSMS desktop client is disliked compared to the web UI.
Web UI Session Volatility: Auto-refresh may cause loss of unsaved progress.
Feature Customization: Considered challenging or slow to adapt with new features.
Learning Curve: Onboarding can be confusing, especially for non-technical users.
Performance Tradeoffs: Storage speed sometimes lags behind basic SQL DB setups.
Connection Limits: Max of 32 concurrent and 1024 active connections (though rarely hit).