![]() For more information, see the Scale resources section. You can't change the backup storage type after a server is created. You also can independently adjust the amount of storage up and the backup retention period up or down with no application downtime. Examples include servers for processing real-time data and high-performance transactional or analytical apps.Īfter you create a server, the number of vCores, hardware generation, and pricing tier (except to and from Basic) can be changed up or down within seconds. High-performance database workloads that require in-memory performance for faster transaction processing and higher concurrency. Examples include servers for hosting web and mobile apps and other enterprise applications. Most business workloads that require balanced compute and memory with scalable I/O throughput. Examples include servers used for development or testing or small-scale infrequently used applications. ![]() Workloads that require light compute and I/O performance. To choose a pricing tier, use the following table as a starting point. All resources are provisioned at the PostgreSQL server level. ![]() The pricing tiers are differentiated by the amount of compute in vCores that can be provisioned, memory per vCore, and the storage technology used to store the data. ![]() You can create an Azure Database for PostgreSQL server in one of three different pricing tiers: Basic, General Purpose, and Memory Optimized. For more information about migrating to Azure Database for PostgreSQL - Flexible Server, see What's happening to Azure Database for PostgreSQL Single Server? We strongly recommend for you to upgrade to Azure Database for PostgreSQL - Flexible Server. Have questions? Feel free to leave a comment in the section below.Azure Database for PostgreSQL - Single Server is on the retirement path. We hope you enjoyed learning about all the cool things you can do with TimescaleDB on Azure Database for PostgreSQL. Here are a few resources to learn more about TimescaleDB and Azure Database for PostgreSQL: Visit our Get Help page to learn about joining our Slack Community as well as the other Subscription options we have available. How can I get help using TimescaleDB and working with time-series data? The TimescaleDB extension is available here. It’s available now! We announced the integration just a couple short months ago and have been going strong ever since. When is the TimescaleDB + Azure Database integration available? You can refer to the Azure website for more information on specific product and region availability here. Microsoft Azure is available across 50+ regions. What regions is Azure Database for PostgreSQL available? You can find the source for this demo on GitHub here. We used TimescaleDB together with PostGIS to perform a geospatial temporal analysis and identify the buses that have strayed from the herd. and sometimes, they might not be on time. As background, during the TimescaleDB demo in the webinar, we saw how buses travel around New York City. Is the TimescaleDB MTA bus demo available for download? This gives you all the benefits of working with time series data without special handling. To you (the user), a hypertable looks, acts and feels like the SQL tables you know-and-love, but the organization of the underlying data is optimized to store and retrieve time series data in a performant way. Here is a selection: What is a hypertable?Ī hypertable abstracts away the complexity of managing underlying “chunks” of time data. For more on our partnership with Microsoft Azure read here.Īt the end, we got some great questions from viewers. Microsoft Azure Database for PostgreSQL is an enterprise-ready managed database service, and since TimescaleDB is powered by PostgreSQL, we wanted to show how you can easily make your Azure Database instance ready for time-series workloads.Īdditionally, we demonstrated how you can analyze time-series data with Azure IoT Hub and Azure Functions to power your IoT applications. During the webinar, we discussed what time-series data is, why it’s so important for IoT applications, and how TimescaleDB helps you efficiently and effectively store and query time-series data. Last week, we hosted Leveraging TimescaleDB and Azure Database for PostgreSQL for your IoT Workloads with our friends at Microsoft. Watch the webinar recording to learn more about storing, querying, and analyzing time-series data.
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