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MongoDB 5.0 extends open source document database operations

MongoDB announced on Tuesday the general availability of MongoDB 5.0 and a series of new features in the MongoDB Atlas Cloud Database As A Service.

Open Source MongoDB The platform is primarily known as a document database, but in recent years Multi-model database approach.

Vendors revealed at the MongoDB.live2021 virtual conference that MongoDB 5.0 has enhanced support for time series data, enabling support for more applications such as the Internet of Things.

Vendors have also evolved the MongoDB Atlas cloud database platform by improving search to allow administrators to optimize results. Features of Atlas Data Lake Integrate data visualization for MongoDB charts.

Carl Olofson, IDC’s Research Vice President, gave us a very positive review of the new set of features and vendor direction.

Provides more advanced management and data visualization that makes MongoDB easier to run on a large scale tool For data lake data, MongoDB can be a more attractive option for executives.

MongoDB’s Atlas Cloud service allows users to deploy MongoDB 5.0 on a database platform as a company service.

“When we think of document database systems, we think of user-friendly applications such as CRM, e-commerce, gaming applications, and session data management for apps on smart mobile devices,” Olofson commented. “MongoDB is certainly good in these areas and has a huge mind share in the developer community, but the next big challenge is to give more to executives.”

MongoDB 5.0 features make database management easier

One of the key new features that MongoDB 5.0 brings is live resharding.

Sharding Is a common process for databases that distribute data across multiple nodes to improve resilience and performance.

Mark Porter, CTO of MongoDB, explained that the new re-sharding feature allows users to adjust how sharding is configured. This has never been an easy process. According to Porter, live resharding allows database administrators to: set When you specify what you want the new shard key to be, MongoDB shuffles all the data to match the new desired distribution.

MongoDB has also introduced what is called a versioned API. When developers build applications that access MongoDB, they often build through APIs.

The previous issue was that every time a new version of MongoDB was released, there could be API changes that required developers to update their applications. The promise of a versioned API is that developers can use the same API even if the underlying MongoDB database is upgraded to a new release.

“The versioned API ensures that your app keeps working every year,” Porter said. “What we’re trying to do is keep our customers on the cutting edge of software so they can get all the features and all the security fixes naturally and fluidly without confusing all the application development teams with the upgrade. To make it available. “”

How MongoDB 5.0 enables a multi-model approach

Support for native time series data has been added to MongoDB 5.0 for the first time in an open source database.

“People have been using MongoDB for time series data forever. In fact, this is a common workload for MongoDB,” Porter said.

Porter added that MongoDB 5.0 will enhance support for automated time series data. Clustered index Faster data capture. He said that the document database model on which MongoDB is built is a multi-model platform that can support different types of data, including key-value stores, graph data, and even relational data.

“Most relational workloads are available, we can put them into the document model, and they work fine,” says Porter. “Now we don’t say it’s the best database for all these and all edge use cases, but we believe it’s a generic database you can do. [use to] Run graph workloads, time series workloads, key-value workloads and OLTP [online transaction processing] Workloads all in one data store. “

MongoDB 5.0 extends open source document database operations

Source link MongoDB 5.0 extends open source document database operations

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