In this article, we will explore the HTAP capabilities of Cosmos DB. The goal is to derive real-time insights from transactional changes made to Cosmos DB, in a cost-effective manner with minimal overhead. I want the solution to be scalable, reliable and overall simple to maintain.
2021-11-03
1,087 reads
Cosmos DB delivers a wide range of advantages over traditional SQL and NoSQL-based data stores, including support for multiple consistency levels, latency and throughput guarantees, policy-based geo-fencing, automatic scaling, and multi-master replication model. However, it is a significant departure from the traditional database management and development approach that most database administrators are familiar with. Discover the offerings that you can use at no cost to gain hands-on experience with Cosmos DB.
2019-05-21
This article was created to help readers understand CosmosDB change feed processing.
2018-11-13
1,291 reads
The majority of traditional database management systems are responsible for making sure that any changes to their data are consistently reflected in the results of subsequent queries. Azure Cosmos DB extends the range of consistency options by providing support for bounded-staleness, session, and consistent prefix models.
2018-02-09
2,650 reads
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