I am finding connecting to and querying Azure Cosmos DB with C# .Net is very slow. It is taking about 2.5 seconds to connect and 8 seconds to do a simple query returning about 600 rows (no where clause). Is there more efficient way to do this? Or best to use a client side connection pool so connections are re-used so don't have to connect as many times? This will mainly be used as a Azure Web Service (ASP.Net)

Interesting if I don't do the ReadThroughputAsync() method after getting the cosmos container, then the Initialize() only takes 438 ms but the query takes longer (8.9 seconds). Anyone know why this is?


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After following the instructions from the following official reference "Use the Azure Cosmos DB Emulator for local development and testing", we attempted to connect to MongoDb using MongoChef using the connection string pasted below:

The connection string is correct. Studio 3T has a very nasty bug - when you use From URI function while creating new connection it cuts the "+" characters that are present in the key, that's why you need to copy the key manually to the corresponding field in connection properties. Also, make sure the Emulator is actually launched (tray area icon should be present).

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If you remove the blue front panel, you will notice a fan that you will hear while playing in quiet environments and quiet games Also you will see connector for the camera on the front panel. Due to the removable parts, the Cosmos is relatively easy to clean from the inside.

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I have a mongoDB on Azure cosmos and the performance is horrible. I have below the time for a few requests that my app does on startup and as you can see Mlab is up to 150 times faster! I am using the free sandbox database on Mlab and the D1 shared plan on Azure. Is there something I can do about this?

CosmosDB is rate limited (c.f. -us/azure/cosmos-db/set-throughput et. al.) so if you are doing some sort of large query and you have set your RU/s rate very low you will get astoundingly slow results from CosmosDB.

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The Cosmos DB driver acts like a bridge that facilitates communication between various applications and Cosmos DB, allowing the application to read data as if it were a relational database. The Cosmos DB driver abstracts the complexities of Cosmos DB APIs, authentication methods, and data types, making it simple for any application to connect to Cosmos DB data in real-time via standard SQL queries.

Working with a Cosmos DB Driver is different than connecting with Cosmos DB through other means. Cosmos DB API integrations require technical experience from a software developer or IT resources. Additionally, due to the constant evolution of APIs and services, once you build your integration you have to constantly maintain Cosmos DB integration code moving forward.

If you need truly zero-maintenance integration, check out connectivity to Cosmos DB via CData Connect Cloud. With Connect Cloud you can configure all of your data connectivity in one place and connect to Cosmos DB from any of the available Cloud Drivers and Client Applications. Connectivity to Cosmos DB is managed in the cloud, and you never have to worry about installing new drivers when Cosmos DB is updated.

Many organizations draw attention to their library of connectors. After all, data connectivity is a core capability needed for applications to maximize their business value. However, it is essential to understand exactly what you are getting when evaluating connectivity. Some vendors are happy to offer connectors that implement basic proof-of-concept level connectivity. These connectors may highlight the possibilities of working with Cosmos DB, but often only provide a fraction of capability. Finding real value from these connectors usually requires additional IT or development resources.

Unlike these POC-quality connectors, every CData Cosmos DB driver offers full-featured Cosmos DB data connectivity. The CData Cosmos DB drivers support extensive Cosmos DB integration, providing access to all of the Cosmos DB data and meta-data needed by enterprise integration or analytics projects. Each driver contains a powerful embedded SQL engine that offers applications easy and high-performance access to all Cosmos DB data. In addition, our drivers offer robust authentication and security capabilities, allowing users to connect securely across a wide range of enterprise configurations. Compare drivers and connectors to read more about some of the benefits of CData's driver connectivity.

With our drivers and connectors, every data source is essentially SQL-based. The CData Cosmos DB driver contains a full SQL-92 compliant engine that translates standard SQL queries into Cosmos DB API calls dynamically. Queries are parsed and optimized for each data source, pushing down as much of the request to Cosmos DB as possible. Any logic that can not be pushed to Cosmos DB is handled transparently client-side by the driver/connector engine. Ultimately, this means that Cosmos DB looks and acts exactly like a database to any client application or tool. Users can integrate live Cosmos DB connectivity with ANY software solution that can talk to a standard database.

Using the CData Cosmos DB drivers and connectors, Cosmos DB can be easily integrated with almost any application. Any software or technology that can integrate with a database or connect with standards-based drivers like ODBC, JDBC, ADO.NET, etc., can use our drivers for live Cosmos DB data connectivity. Explore some of the more popular Cosmos DB data integrations online.

Cosmos DB Analytics and Cosmos DB Cloud BI integration is universally supported for BI and data science. In addition, CData provides native client connectors for popular analytics applications like Power BI, Tableau, and Excel that simplify Cosmos DB data integration. Additionally, native Python connectors are widely available for data science and data engineering projects that integrate seamlessly with popular tools like Pandas, SQLAlchemy, Dash, and Petl.

Cosmos DB data integration is typically enabled with CData Sync, a robust any-to-any data pipeline solution that is easy to set up, runs everywhere, and offers comprehensive enterprise-class features for data engineering. CData Sync makes it easy to replicate Cosmos DB data any database or data warehouse, and maintain parity between systems with automated incremental Cosmos DB replication. In addition, our Cosmos DB drivers and connectors can be easily embedded into a wide range of data integration tools to augment existing solutions.

Absolutely. The best way to integrate Cosmos DB with Excel is by using the CData Connect Cloud Excel Add-In. The Cosmos DB Excel Add-In provides easy Cosmos DB integration directly from Microsoft Excel Desktop, Mac, or Web (Excel 365). Simply configure your connection to Cosmos DB from the easy-to-use cloud interface, and access Cosmos DB just like you would another native Excel data source. 006ab0faaa

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