Azure Synapse Analytics is the next incarnation of Azure SQL Data Warehouse from Microsoft. Like SQL Data Warehouse, Azure Synapse Analytics is a cloud-based, relational data warehouse system with MPP (massively parallel processing), virtually unlimited scaling capacity, and the power to process and store petabytes of data. The difference is that Azure Synapse Analytics has added business intelligence, machine learning, and other advanced features to its data warehousing profile. Microsoft has also boosted the platform's capacity to ingest, transform, manage, and process larger volumes of relational and non-relational data faster and more efficiently.
Stripe is a SaaS payment management tool. It is built to be an all-in-one payment solution for any business, whether that business offers an on-demand service, traditional product sales, or subscription-based services. Stripe’s tools are designed to help users with a variety of tasks related to running those businesses, including: issuing refunds, processing orders, and managing different subscriptions.
Bring all your Stripe data to Amazon Redshift
Load your Stripe data to Google BigQuery
ETL all your Stripe data to Snowflake
Move your Stripe data to MySQL
In addition to serving as a powerful, scalable, cloud-based data warehouse, Azure Synapse adds advanced business intelligence and machine learning data analytics to its list of services.
Whether you need a non-relational data lake, relational data warehouse, or a combination of both, Azure Synapse integrates the two and lets you query the data in SQL while serving as a unified, end-to-end analytics solution. Within a single workspace, Azure Synapse allows you to achieve your data warehousing, data preparation, data management, AI, machine learning, and business intelligence goals. Access all of your data and create stunning dashboards with Power BI via a single interface.
With Azure Synapse Link, cloud-native HTAP implementation allows you to integrate Azure Synapse with Azure databases to extract near real-time insights from operational databases. This allows Azure Synapse to extract machine learning and business intelligence analyses from live data without disrupting the transactional performance of operational systems.
Azure Synapse allows your team to work with their preferred language. Whether it's T-SQL, Scala, Spark SQL, Python, or .Net, Azure Synapse is compatible with your language of choice while using either provisioned or serverless processing resources.
Azure Synapse lets you query data with provisioned or serverless on-demand computational resources.
Azure Synapse natively connects with a wide range of Azure and Microsoft services. The platform includes native connectors for Azure Machine Learning, Azure Data Lake, Azure Blob Storage, Azure Active Directory for authentication, and Microsoft Power BI for visualizing data. Azure Synapse also integrates its machine learning and business intelligence tools with Open Data Initiative tools and services. Led by Microsoft, Adobe, and SAP Software solutions, the Open Data Initiative seeks to boost the connectivity and interoperability of cloud-based SaaS services. Open Data Initiative compatible services include the Microsoft Office 365 suite, the Microsoft Dynamics 365 suite, and more.
Microsoft Azure Synapse makes it easy to optimize your query performance through limitless concurrency, workload isolation, workload management.
Azure Synapse offers cutting-edge security and privacy that includes dynamic, real-time data masking, always-on data encryption, automated threat detection, authentication through single-sign-on and Azure Active Directory. The platform also includes access control features like column-level security and native row-level security for additional security and privacy within your team.
In terms of compliance, Azure offers more certifications than any cloud provider to ensure that your data collection and data use practices comply with industry-specific, regional, state, and national compliance standards.
Retrieve data from all your customer transactions, which provides basic details about the customer, such as their name, address, and email, in addition to data about the charge itself, such as if it was accepted, disputed, refunded, etc.
View or create data about new and existing customers, which allows you to track recurring charges, subscriptions, and multiple purchases. This can, in turn, help you to monitor a customer’s transaction history throughout their lifecycle with your company.
Retrieve any automatically recorded event that occurs on your account, whether it’s a charge, subscription, failed invoice payment, or anything else of note. This allows you to have current, up-to-date data about what is happening on your account at any given moment.
Monitor an invoice, which is created as part of a recurring payment on Stripe. This returns data on the charged amount, whether the invoice was successful, how many attempts the invoice has made to collect the money, and which subscriptions are linked to that invoice, if applicable.
Collect data on different subscription plans that you have, which includes the cost of the plan, how and when it is billed, and the plan’s trial period. You can then integrate the plan data with your subscription or customer data to get a deeper view of the sales performance of various plans.
Track which clients are subscribed to which plans, as well as when they subscribed, when they canceled, and how many users they are subscribed with. This field also allows you to track charges associated with those subscriptions so that you can monitor the revenue they generate.