Cloud Data Platforms software

Azure Synapse Analytics

Updated

Visit website
01 / Overview

What is Azure Synapse Analytics?

Azure Synapse Analytics brings together SQL data warehousing and large-scale data analytics in an Azure service.

Who is Azure Synapse Analytics for?

Teams responsible for analytics and AI data workflows that need sql data warehousing and want to evaluate the complete delivery, access and cost requirements.

02 / Capabilities

Azure Synapse Analytics features

The core capabilities to consider for your workflow.

  • SQL data warehousing
  • Big-data analytics
  • Data exploration
03 / Plans & costs

Azure Synapse Analytics pricing

Plan availability

Cloud usage and access options

Scope the selected service, region, resource capacity and expected usage. Include connected compute, storage, data transfer and support rather than treating a trial credit as the ongoing cost.

Calculate the cost of your quote →

Free access & evaluation

Credits and free allowances can have eligibility, duration and usage limits. Check the current account offer and do not assume the full production workload is free.

04 / Buying checklist

Before you choose Azure Synapse Analytics

  • Define data sources, ownership, refresh requirements and the analytical or model workloads to run.

  • Price compute, storage, data movement, governance and connected services as separate parts of the implementation.

05 / Related software

Explore related software

06 / Questions answered

Azure Synapse Analytics FAQs

Does Azure Synapse Analytics have a free plan?

Credits and free allowances can have eligibility, duration and usage limits. Check the current account offer and do not assume the full production workload is free.

Who is Azure Synapse Analytics for?

Teams responsible for analytics and AI data workflows that need sql data warehousing and want to evaluate the complete delivery, access and cost requirements.

What should I compare before buying?

Check the tier that contains your essential features, confirm plan limits and compare the total quote with your own expected usage.