Traditionally, working with large volumes of time series data has been difficult for several reasons. When MongoDB is talking about analytics, they are referring to in-app analytics. In 2023, a cloud-hosted version of the tool will be released for customers to use in a self-serve fashion. Customers could access the functionality on request with limits on query volume and database size. New enterprise efforts to harness smart devices to optimize operations (Industrial IoT) are driving an exponential increase in data volumes. MongoDBs strategy of expanding their data platforms capabilities to address more application workloads is timely. That is not reasonable or likely. All Rights Reserved. If there are no indexes available, then a 100x performance boost is obtainable with the new engine, according to the presentations. You also have the option to opt-out of these cookies. In 2021, MongoDB acquired Aroki. What seems to be most impressive is the new slot-based query engine which has been available since MongoDB 5.1. These include Atlas Data Federation and improved Atlas Data Lake. The DevOps team has fewer dependencies to manage. This created extra overhead for engineering teams in managing two separate systems. If anything, this capability allows MongoDB to claim superior data security over competitive solutions. Announced and GAd at the same time was Atlas CLI, a command-line alternative to the Atlas web interface. Samsung Develops Second-Generation SmartSSD with Upgraded Processing Functionality, Dynatrace Expands Capabilities with Unified Log and UX Analytics, AtScale Research Demonstrates Benefits of Using a Semantic Layer for BI & AI Initiatives, Ocient Releases Latest Version of Its Hyperscale Data Warehouse, Edge Delta Delivers Automatic Observability into Kubernetes Resources, Clootrack Expands Access to Customer Experience Data with Snowflake Marketplace, Anodot Gets US Patent for Anomaly Detection Solution, Census Releases Speaker Schedule for Summer Community Days, Talend Certified to Support Clouderas Hybrid Data Platform, Pecan AI Announces One-Click Model Deployment and Integration with Common CRMs, Datatron Simplifies Platform for Operationalization of ML Models, Comet Recognized as a Cool Vendor in AI Core Technologies by Gartner, Oracle and Microsoft Release Oracle Database Service for Microsoft Azure, Cinchy Study Details How Dataware Eliminates Data Integration, Grafana Labs Signs More Than 80 Global Channel Partners, New IDC Survey Finds Unified Observability Critical for IT Teams, Hightouch Becomes First Data Activation Platform on Databricks Partner Connect, Oracle Enhances Smart Construction Platform with New Analytics Capabilities, Western Digital Extends HDD Technology AcrossSmart Video, NAS and Datacenter Channel Segments, Exabel Announces Integration with Snowflake, Databricks Opens Up Its Delta Lakehouse at Data + AI Summit. Powering these use cases around in-app analytics is becoming another increasingly large market. They also had to set up a dedicated ETL process to pull data out of the primary data store and write it to the search index. Otherwise, I will focus on the companies that stand to emerge from the downturn with more market share, better competitive position and great product fit. Implications of Walmarts Cloud Native Platform, Snowflake Summit 2022 Product Announcements, Datadog Named a Leader in the 2022 Gartner Magic Quadrant, MongoDB World 2022 Product Announcements, Capital One Launches B2B Consultancy for Snowflake Users, First Look at MongoDBs Q1 FY2023 Earnings Report, First Look at Snowflakes Q1 FY2023 Earnings Report, First Look at Datadogs Q1 2022 Earnings Report, First Look at Cloudflares Q1 2022 Earnings Report, Highlights from Hyperscaler Earnings Reports, Datadog Launches Application Security Monitoring. AWS and GCP were premier sponsors of MongoDB World unimaginable just 3 years ago.

Besides having to make a number of decisions about cluster configuration, some of the more advanced features like sharding can have implications as the application scales. An Atlas SQL Interface with connectors for applications such as Tableau is also being released. In the past, engineering teams had to create their own tooling to support a migration. The purpose is not to help corporate executives or analysts understand business trends. I cant conceive of a more demanding environment to prove the suitability of MongoDB to run at web scale (a reference to a popular animated meme about MongoDB that circulated years ago). In a generic sense, search represents targeted data retrieval across a number of dimensions that can return results extremely fast. This category only includes cookies that ensures basic functionalities and security features of the website. Elastic lists a large number of customers for their enterprise search offering, which includes both application search and internal retrieval of enterprise documents. This enables independent clusters to synchronize data in one direction. He claims that at one point, his code was used in every Visa transaction and ATT mobile call. Consolidating database vendor sprawl results in lower cost and higher efficiency for the engineering team. Is Queryable Encryption the same as homomorphic encryption applied to a database, and is it as strong as fully homomorphic encryption? They have raised about $120M to date and claim over 1,300 paying customers. When typing in this field, a list of search results will appear and be automatically updated as you type. While a seemingly mundane feature, it has been requested by a number of customers. With these inherent design and architectural advantages, many engineering organizations are choosing the document model for new and upgraded application workloads, often over the relational model. MongoDB has plans to add these data distribution capabilities to its serverless solution in the future.

We'll assume you're ok with this, but you can opt-out if you wish. They will share the code, the algorithms and the math with the broader community. Application search represents a direct product extension for MongoDB, where they can easily layer on application search from the core database engine. Most software architectures encrypt data while in transit and at rest. Data can have gaps (if a device goes offline). Additionally, portions of the interface into MongoDBs system may remain obfuscated or proprietary. I have highlighted in green boxes the targeted data workloads that received the most focus in this years announcements. Queryable Encryption, available in preview with MongoDB 6.0, introduces the industry's first encrypted search scheme using breakthrough cryptography engineering. Leadership labeled MongoDB as the application data platform. They also hosted an Investor Session to tie the product announcements to MongoDBs broader expansion strategy. If it is powering a new IoT data collection service, the time series data model would be well suited. The $lookup and $graphLookup operators can also, with 6.0, work with sharded collections. This scope primarily encompasses transactional databases the market for data warehouses and analytics is separate. And thats our round up of the MongoDB World 2022 Announcements. At minimum, MongoDB should be able to harvest low hanging fruit in standard faceted and site search use cases, like the example with Keller Williams. A hacker who has compromised the database server could then access the sensitive data in its raw form. 2022 3T Software Labs GmbH. These nodes can scale independently of the clusters they are attached to, to match analytics workloads. This is optimized for sensor devices, where all the data is being sent from the device to a centralized data store. This constraint drove multiple design choices that now represent encumbrances for modern application development. There are also independent globally distributed data storage services, like Fauna, Macrometa and even Cloudflare. MongoDB will support time series data for the full data lifecycle, including ingestion, storage, querying, analysis, visualization, and online archiving. While a 12% CAGR doesnt sound exciting on the surface, in a large market like databases, it provides a lot of growth for leading providers. The developer can simply treat MongoDB like a black box, reading and writing data without concern for the capacity configuration. With Queryable Encryption, MongoDB has addressed this constraint. MongoDBs product strategy is to be in a strong position to benefit from both of these motions. It addresses errors and recovery. Geo indexing, introduced in version 6.0, is particularly powerful, as that allows developers to slice time series data by geographic location, which is a common use case. This high level strategy for capturing more application workloads was introduced at last years virtual conference in July. Supporting production deployment techniques, like blue-green deployments. While valuations will compress, a challenging macro environment may even provide some tailwinds for MongoDB. This website uses cookies to improve your experience. At the foundation of the IT spending value chain, application databases are at the least risk of being shut off. It will greatly improve many facets of our software lifecycle, such as supporting "blue/green" deployments, data distribution, cloud migration and further increasing our high levels of geographic availability for our airline customers," said Sylvain Roy, Senior Vice-President, Technology Platforms & Engineering (TPE), Amadeus. Without these cookies, some of the site functionality may not work as intended. And this is the foundation of MongoDBs product strategy. In all these cases, a database platform that can address multiple data access patterns provides some benefits. A perusal of the listings on DB-Engines demonstrates this bounty of choices they include about 400 different databases in their popularity tracker. Investing analysis of the software companies that power next generation digital businesses. This years MongoDB World conference saw the usual wide range of announcements, covering the broad sweep of the companys offerings. Dj has been around since Commodore had Pets and Apples grew everywhere. Flush with VC money and little accountability for profitability, these start-ups create distractions and undercut deals. Headquartered in New York, MongoDB has more than 35,000 customers in over 100 countries. The only impact to MongoDB is that some of the Snowflake-powered data applications might have been served previously by standing up a new MongoDB cluster as the data source. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. Thanks for the article and audio summary. These slices are called facets. Given the broader sensitivity around security and data breaches, this release is perfectly timed. After some period of time, a software applications architecture drifts far enough from newer standards that maintaining it creates impedance for the engineering team. Is Real-Time Streaming Finally Taking Off? Version 6.0 also improves read performance for sort operations. These improvements allow MongoDBs advantages in data model simplicity and developer productivity to tip the scale towards enterprise adoption. MongoDB World 2022 will be held in-person in New York City from June 7 9, 2022. This is a new technique that allows querying of end to end encrypted data, in place without being decryption. Since 2014, 3T has been helping thousands of MongoDB developers and administrators with their everyday jobs by providing the finest MongoDB tools on the market. The MongoDB team combined two primitives within the platform to deliver this capability. While opening up the code could inspire competitors, I suspect they would have challenges in implementing an exact copy. Cookies are used by many websites and can do a number of things, eg remembering your preferences, recording what you have put in your shopping basket, and counting the number of people looking at a website. It provides continuous unidirectional data synchronization of two MongoDB clusters (source to destination) in the same or hybrid environments. MongoDBs field-level encryption protects data in memory and on disk within the server. Some examples include: These use cases require the data processing framework illustrated in the screenshot above. CFOs can quickly break down technical arguments when savings can be realized. MongoDBs CPO even took a veiled shot at Elastic in his keynote, reflecting what he thinks will be the value of MongoDBs singular focus on application search use cases. In the product keynote, leading real estate company Keller Williams demonstrated how they are using Atlas Search to enable consumers and agents to search for properties on, supported by the underlying MongoDB application data platform with integratedAtlas Search. The Queryable Encryption technology is getting an open source release and is currently under audit by cryptographic experts. This will drive the use of both high-speed data collection and processing technologies, including in-memory shared data managers and large volume analytic data platforms or data lakes. These further round out the use cases that Atlas Search can address, with facets being the major addition. September 13 @ 1:00 pm September 14 @ 5:00 pm, September 19 @ 8:00 am September 20 @ 5:00 pm, 2022 Datanami. The MongoDB team saw an opportunity to to make this process more efficient. First, upgrades of existing application database solutions will occur within the lifecycle of an older software application. About MongoDB MongoDB is the developer data platform company empowering innovators to create, transform, and disrupt industries by unleashing the power of software and data. Readers are expected to perform their own due diligence before making investment decisions. These and other risks and uncertainties are more fully described in our filings with the Securities and Exchange Commission ("SEC"), including under the caption "Risk Factors" in our Quarterly Report on Form 10-Q for the quarter ended April 30, 2022 filed with the SEC on June 3, 2022 and other filings and reports that we may file from time to time with the SEC. He knows databases, is hands-on and very technical. With Cluster-to-Cluster Sync, MongoDB will handle this cross cluster synchronization. For MongoDB, this product strategy translates into platform improvements along three vectors. A service-oriented architecture makes it much easier to keep some workloads on relational, and move the rest to another model. MongoDB has a reasonable chance of landing a fair percentage of that. A database vendor could land within an enterprise for a single use case on one application and expand into more workloads over time. In sum, I think the benefits of open sourcing outweigh the risks. The Data Lake now comes with its own integrated storage and pipelines connected to Atlas databases. These cookies will be stored in your browser only with your consent. Thousands of Internet applications providing authentication for millions of users who wont tolerate latency or downtime. "Hundreds of millions of new applications will be developed over the coming years that deliver compelling customer experiences, enable new capabilities to transform businesses, and increase operational efficiency via more sophisticated automation and these applications all require a highly scalable, cloud-native, globally distributed data platform," said Dev Ittycheria, President & CEO of MongoDB. These make it easier for users to index data that varies over time. This would serve the use case in which data aggregated within the data warehouse is then fed to an application to display it. Granted, in their Q1 report, leadership has already cautioned that expansion will slow with their small to medium sized customers for the remainder of 2022. Second, they launched a one-way synchronization capability.

MongoDB World is where the worlds fastest-growing data community comes to connect, explore, and learn. Then, it wasnt as secure. This logic can create a lot of overhead for developers, that really isnt value added work. There is also support for clustered collections and indexes, and improved change streams. It avoids a broad stroke of synchronization, which can waste network bandwidth and result in unnecessary storage. It will greatly improve many facets of our software lifecycle, such as supporting blue/green deployments, data distribution, cloud migration and further increasing our high levels of geographic availability for our airline customers, said Sylvain Roy, Senior Vice-President, Technology Platforms & Engineering (TPE), Amadeus. To enable more powerful analysis, MongoDB announced new Analytics nodes. But opting out of some of these cookies may affect your browsing experience. MongoDB is targeting all of these workloads, represented within the green box above. This is also a target market for Snowflake. By default, MongoDB allows users to keep data synchronized within a defined cluster. I think it could become much larger than that based on the number of emerging use cases in Industrial IoT. With the MongoDB 6.0 release, customer engineering teams will have access to search facets, cross-collection searching, stored source fields and embedded documents in arrays. There is nothing like a down round to kill morale. The number of use cases it can address is expanding. This capability is backed by several years of research, sourced and vetted by academics. MongoDBs largest set of entrenched workloads to target are relational databases. Although we believe that our plans, intentions, expectations, strategies and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations or strategies will be attained or achieved. With that set-up, lets run through the product announcements and how they tie back to MongoDBs overall strategy. We guarantee the best compatibility with current and legacy releases of MongoDB, continue to deliver new features with every new software release, and provide high quality support. This opens up a larger share of the $96B of application database spend in 2023 for MongoDB to capture. From that perspective, I think the announcements made during MongoDB World position the company well. Many of the larger ones overlap with MongoDB customers, like Cisco, eBay and Adobe. This model works well in cases where usage can be sporadic or unpredictable. The MongoDB team announced several other new capabilities during the user conference. This means that data is transmitted between systems within a virtual private network over secure channels and when the data lands on disk, it is encrypted. While Lucene provides a lot of the basic search functionality, there are a number of use cases within search that need to be implemented outside of what comes with the library. Identity provider Auth0 (acquired by Okta) presented during the product keynote, represented by their CPO and VP of Engineering. "The ability to leverage Cluster-to-Cluster Synchronization (C2C) for our many existing MongoDB-based travel applications is something we've been wanting for a long time and will be a huge benefit to us. This capability will be available in preview mode as part of MongoDBs 6.0 release. That is the time when the database server is actually processing a query on that data. Queryable Encryption is based on well-tested and established standard NIST cryptographic primitives to provide strong protection from attacks against the database, including insider threats, highly privileged administrators and cloud infrastructure staff. The upcoming release of MongoDB version 6.0 will come with a number of new capabilities for managing time series data. If the lifetime of an application is 10 years on average, then $8.5B of existing database spend in 2022 would be available for a modern database platform to win. We are laser focused on the developer use cases for search that power modern applications. This is a new approach to handling queries which helps to parallelize a query over multiple virtual CPUs. The document structure and relationships between them can accommodate many data models. While a strong statement, I can visualize some percentage of databases that would fall into this category. A serverless model can have implications for pricing. First, its likely that enterprises will look to optimize their IT spending. A better way to consider the opportunity is that $11B of new database spend will be introduced in 2023. However, with IoT, new types of devices are proliferating like fixed sensors, vehicles and manufacturing equipment. Search has even broader applications across a number of industries. Customers have been using MongoDB for time series data for years, but the MongoDB team realized that the platform could better serve this use case. . The platform has inflected from interesting toy database to critical infrastructure. MongoDB announced GA for MongoDB Atlas Device Syncs Flexible Sync option which synchronizes Atlas databases with the Realm mobile platform. These cookies do not store any personal information. With $1.8B in cash and roughly break-even on a FCF basis, MongoDB can ride out the volatility and emerge in a more solidified competitive position. Technology leaders from Toyota, Verizon, Wells Fargo, Mizuho, Boots, Vodafone, Forbes and Avalera discussed how MongoDB is central to their database operations. It maps directly with the computer science concept of object-oriented design, which is how most software programs manage data internally. The Relational Migrator will be released initially to internal pre-sales and professional services teams within MongoDB to utilize. We are all familiar with the free form search box on most web sites. Hyperscalers have largely conceded their portion of the transactional database market to MongoDB and now actively co-sell the solution. It is this management of the data cache that adds complexity to device-based applications. Sharding support allowed time series data to be written to multiple nodes in parallel, which is important to accommodate the extremely high throughput of most IoT systems. Developers dont need to maintain two sets of servers. While the developer isnt stuck with a decision, it can require some rework to make significant changes to a clusters configuration or the data structure. Mark contends that relational data models are dated and have limited use going forward for application development. These enhancements allow teams to accomplish more while preserving a consistent developer experience and reducing the complexity of the data infrastructure required to support modern applications. A cookie is a small file of letters and numbers that is downloaded on to your computer when you visit a website. MongoDB World 2022 will be held in-person in New York City from. The traditional method for enabling application search involved setting up a stand-alone tier of servers with a search index loaded onto them. Implementing the most sophisticated levels of data encryption Every organization must be able to secure the most sensitive information in any environment without compromising the ability to build rich application experiences that make use of that data. Please see theDisclaimerfor more detail. Having two copies of state incurs the complexity of synchronization. This has now gone GA (Generally Available) offering on-demand rapid scale-up and scaling to zero as required. Several years ago, the pair cofounded a searchable encrypted database startup known as Aroki Systems. It is the predominant use case for synchronization. These are not the rich data visualizations constructed by aggregating multiple data sources in a data warehouse. They also avoid the overhead of managing a data sync mechanism, writing custom transformation logic and then remapping search indexes every time the database schema is updated. Specifically, MongoDB has addressed the last part of end-to-end data encryption within the modern data stack. Over his career, he was part of the core kernel group at Oracle, ran Amazons RDS group and managed Aurora. The team also introduced a number of generalized enhancements to the platform that apply to all data workloads. IDC survey data shows that roughly 90% of enterprises are either actively moving production data to the cloud and adopting cloud databases for new workloads or have plans to do so within the next three years, said Carl Olofson, research vice president for Data Management Systems software research at IDC.

The search engine supports both full text searches by address and faceted search by different parameters like price, year built, bedrooms, square footage, etc. With serverless, these constraints dont apply. InfluxData is the commercial entity behind InfluxDB. They use MongoDB to optimize their delivery supply chain globally, so that they can reduce costs and compete with other distribution networks like Amazon. Keeping development, test and production environments in sync. Many legacy applications are coded as a large monolith, which would benefit from a refactoring into independent services. Also going GA is Atlas Data API, a serverless, connectionless HTTPS API for applications which do not talk MongoDB protocols. Furthermore, actual results may differ materially from those described in the forward-looking statements and are subject to a variety of assumptions, uncertainties, risks and factors that are beyond our control including, without limitation: the impact that the precautions we have taken in our business relative to the ongoing COVID-19 pandemic may have on our business; the financial impacts of the COVID-19 pandemic on our customers and our potential customers; the effects of the ongoing military conflict between Russia and Ukraine on our business and future operating results; the effects of volatility in the global economy and financial markets on our business and future operating results; our potential failure to meet publicly announced guidance or other expectations about our business and future operating results; our limited operating history; our history of losses; failure of our database platform to satisfy customer demands; the effects of increased competition; our investments in new products and our ability to introduce new features, services or enhancements; our ability to effectively expand our sales and marketing organization; our ability to continue to build and maintain credibility with the developer community; our ability to add new customers or increase sales to our existing customers; our ability to maintain, protect, enforce and enhance our intellectual property; the growth and expansion of the market for database products and our ability to penetrate that market; our ability to integrate acquired businesses and technologies successfully or achieve the expected benefits of such acquisitions; our ability to maintain the security of our software and adequately address privacy concerns; our ability to manage our growth effectively and successfully recruit and retain additional highly-qualified personnel; and the price volatility of our common stock.

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