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{"id":35663,"date":"2023-06-22T21:56:48","date_gmt":"2023-06-22T21:56:48","guid":{"rendered":"https:\/\/scienceandnerds.com\/2023\/06\/22\/mongodb-readies-its-atlas-database-service-for-new-workloads\/"},"modified":"2023-06-22T21:56:49","modified_gmt":"2023-06-22T21:56:49","slug":"mongodb-readies-its-atlas-database-service-for-new-workloads","status":"publish","type":"post","link":"https:\/\/scienceandnerds.com\/2023\/06\/22\/mongodb-readies-its-atlas-database-service-for-new-workloads\/","title":{"rendered":"MongoDB readies its Atlas database service for new workloads"},"content":{"rendered":"

Source:https:\/\/techcrunch.com\/2023\/06\/22\/mongodb-readies-its-atlas-database-service-for-new-workloads\/<\/a><\/br>
\nMongoDB readies its Atlas database service for new workloads<\/br>
\n2023-06-22 21:56:48<\/br><\/p>\n

\n

At its MongoDB.local NYC<\/a> event, MongoDB<\/a> today announced a slew of product releases and updates. Given the company\u2019s focus on its fully managed Atlas service, it\u2019s no surprise that the majority of news focuses on that platform, with improved support for AI and semantic search workloads, dedicated search nodes to better enable search use cases and new capabilities to process streaming data, among others.<\/p>\n

Andrew Davidson, MongoDB\u2019s SVP of product, told me that this is a continuation of the work the company has been doing on Atlas in recent years. \u201cWith Atlas, we can deliver capabilities much more quickly,\u201d he said. \u201cWe\u2019re able to add the power of search and time series and drive a wider variety of workload shapes.\u201d He argues that as businesses are forced to do more with fewer resources \u2014 all while developers are expected to build more applications and do so faster \u2014 expanding Atlas\u2019 capabilities is a natural evolution for MongoDB. \u201cWe think that this is totally our moment, because we come in with our developer data platform vision, saying: we want to enable a builder to express the vast majority of the features in the vast majority of their applications with respect to their operational data needs. That\u2019s why we keep investing in all of these key primitives and capabilities,\u201d he explained.<\/p>\n

Vector search is maybe the most obvious example here. For companies that want to use large language models (LLMs), translating their data into vectors and storing them is key to customizing foundation models for their needs. In addition, vector search also enables new workloads on Atlas, like text-to-image search, for example. \u201cWe think that, of course, a developer data platform that specializes in operational data should also be able to then express indexes that let you efficiently query the vector summaries of that data,\u201d said Davidson.<\/p>\n

Likewise, stream processing is a capability that hasn\u2019t traditionally been the focus of MongoDB\u2019s document model. For a while now, MongoDB has been offering its Aggregation Framework<\/a>, which allows developers to perform transformations on a stream of documents that comes out of a database. \u201cWe realized, \u2018holy moly, that\u2019s a perfect metaphor for being able to conceptualize transformations on a stream coming off Kafka,’\u201d Davidson explained.<\/p>\n

Another new feature here is support for querying data in Microsoft Azure Blob Storage with MongoDB Atlas Online Archive and Atlas Data Federation. MongoDB previously launched support for AWS. While MongoDB would obviously prefer it if everybody hosted their data in MongoDB, the reality is that most enterprises will continue to use multiple systems. Atlas Data Federation makes it easy for developers to read and write data from and to Atlas databases and third-party cloud object stores, which then makes it easier for them to generate and combine data streams from multiple data sources to power their applications.<\/p>\n

Some of the other new features MongoDB is launching this week include Atlas Search Nodes, which are dedicated nodes for scaling search workloads independent of the database, as well as improvements to how the database handles enterprise-scale time series workloads.<\/p>\n

\u201cThe new MongoDB Atlas capabilities announced today are in response to the feedback we get from customers all around the world \u2014 they love that their teams are able to quickly build and innovate with MongoDB Atlas and want to be able to do even more with it across the enterprise,\u201d said Dev Ittycheria, MongoDB\u2019s president and CEO. \u201cWith the new features we\u2019re launching today, we\u2019re further supporting not only customers who are just getting started, but also customers who have the most demanding requirements for functionality, performance, scale and flexibility so they can unleash the power of software and data to build advanced applications to transform their businesses.\u201d<\/p>\n<\/p><\/div>\n

<\/br><\/br><\/br><\/p>\n

Science, Tech, Technology<\/br>
\n<\/br>
\nSource:https:\/\/techcrunch.com\/2023\/06\/22\/mongodb-readies-its-atlas-database-service-for-new-workloads\/<\/a><\/br><\/br><\/p>\n","protected":false},"excerpt":{"rendered":"

Source:https:\/\/techcrunch.com\/2023\/06\/22\/mongodb-readies-its-atlas-database-service-for-new-workloads\/ MongoDB readies its Atlas database service for new workloads 2023-06-22 21:56:48 At its MongoDB.local NYC event, MongoDB today announced a slew of product releases and updates. Given the company\u2019s focus on its fully managed Atlas service, it\u2019s no surprise that the majority of news focuses on that platform, with improved support for AI and […]<\/p>\n","protected":false},"author":1,"featured_media":35664,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"pagelayer_contact_templates":[],"_pagelayer_content":"","_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[26,17,8],"tags":[],"class_list":["post-35663","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-science","category-tech","category-technology"],"yoast_head":"\nMongoDB readies its Atlas database service for new workloads - Science and Nerds<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/scienceandnerds.com\/2023\/06\/22\/mongodb-readies-its-atlas-database-service-for-new-workloads\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MongoDB readies its Atlas database service for new workloads - Science and Nerds\" \/>\n<meta property=\"og:description\" content=\"Source:https:\/\/techcrunch.com\/2023\/06\/22\/mongodb-readies-its-atlas-database-service-for-new-workloads\/ MongoDB readies its Atlas database service for new workloads 2023-06-22 21:56:48 At its MongoDB.local NYC event, MongoDB today announced a slew of product releases and updates. 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