“For our use case, we have complex documents that require nested indexes, ad hoc queries, and aggregations. While we could have chosen any database, we chose Amazon DocumentDB as the document model was a perfect match. Having a fully managed document database was a major game changer for our team. We did not need to invest deeply in additional operational resource or have to fit our use case into a different data model. In choosing Amazon DocumentDB, we have empowered our entire development team to become more agile and productive. Simply put, we would never have had the resources available to implement and maintain our own database infrastructure while maintaining our other products.”
Jason Neal, Software Development - Amazon.com
"Our developers love the document model as it enables them to move fast and iterate quickly when building applications. Amazon DocumentDB integrates deeply with AWS services and has the potential to provide us with a robust, highly scalable, and cost effective database service. With Amazon DocumentDB, our developers will be able to move faster and focus more on innovating on behalf of our customers versus managing a database."
Sunjay Pandey, Vice President - Capital One
“We, the Deutsche Fußball Liga GmbH (DFL) use AWS to power our publishing platform, delivering the latest news from the league to millions of fans worldwide. As our content and user base grew, we had a focus on maintaining our relational database’s performance. We migrated to Amazon DocumentDB (with MongoDB compatibility) because of its flexible schema, native JSON support that enables our developers to deploy faster, and its decoupled architecture can scale our read throughput in minutes. We prototyped the application locally using the MongoDB Community Edition, and quickly deployed to production on Amazon DocumentDB. Everything worked just as we expected and we have successfully scaled our database performance.”
Andreas Heyden, CEO DFL Digital Sports, EVP Digital Innovations - DFL Group
“Dow Jones uses a number of specialized databases including MongoDB to provide a variety of services for our customers. We are excited about collaborating with AWS around Amazon DocumentDB, which meets key needs we expressed to AWS in order to simplify our operations and free up our developers to invest in innovative experiences for our customers rather than undifferentiated operations."
Ramin Beheshti, Chief Product & Technology Officer - Dow Jones
Enkidoo provides inventory optimization solutions that enable independent retailers and distributors to automate and optimize their procurement process (demand forecasting, optimal purchase orders, business analytics) via a distinctive conversational user experience.
“Given the nature of retail, Enkidoo stores sensitive information. Amazon DocumentDB’s built-in security and compliance capabilities such as integration with Amazon VPC, encryption-at-rest, and PCI DSS compliance makes it easy for us to secure our customer data. With DocumentDB’s decoupling of storage and compute, we can scale our database infrastructure to accommodate growing data sets without having to change our instances. DocumentDB’s flexibility is a big win for us as it not only lowers our cost structure but also gives our developers more time to build differentiating features versus focusing on ops. Getting started with DocumentDB was also simple and we migrated our application in a couple of days without needing to make any meaningful code changes. Everything just worked.”
Alexandre Vincart-Emard, Chief Technology Officer - Enkidoo
FINRA regulates a critical part of the securities industry – brokerage firms doing business with the public in the United States. FINRA takes in up to 135 billion market events per day that are tracked, aggregated, and analyzed for the purpose of protecting investors.
“FINRA’s Data Collection platform stores millions of regulatory filings from hundreds of thousands customers, such as broker dealers, investment advisors, and stock exchanges. Our old platform was built using a relational database that stored data in XML, which had a rigid query structure and required us to write custom code for data versioning and schema validation. We chose Amazon DocumentDB because it natively stores data in JSON, making it simpler to query and index regulatory documents. This reduces our development cycles, while extending the usability of our data by easily integrating with other systems that leverage JSON. Because DocumentDB is a fully managed service, our databases are scalable, highly available, backed up, and encrypted without any overhead from our engineering teams.”
Ranga Rajagopal, Senior Director, Enterprise Data Platforms - FINRA
Freshop’s web platform helps grocers get online and grow their business.
"Our business is accelerating and we needed a fully-managed database service that can quickly scale to meet our rapidly growing needs. We migrated our grocery e-commerce backend services to Amazon DocumentDB using the AWS Database Migration Service, and the entire migration took us less than a week. Best of all, DocumentDB just worked without any changes to our codebase. Our engineering teams now spend less time on operations like backup scripts, scale testing, and managing high availability and instead are able to focus on developing new capabilities for our customers."
Sundar Rajavelu, Director of Engineering - Freshop
"At Freshworks we use DocumentDB for our integrations platform to keep different products in sync with each other—for example your leads in Freshworks CRM with your marketing audiences at Mailchimp. We initially chose MongoDB as a document database to natively store, index, and query the JSON from this workload. Our applications run in multiple AWS regions to support global customers, and the legacy solution required 3 engineers to support new region deployments, hardware failure recovery, database sharding, and downtime-incurring maintenances to remove stale indexes. We migrated to Amazon DocumentDB because it manages launching, scaling, and recovering database clusters. We love that it’s compatible with MongoDB, so our applications didn’t require code changes, and we could easily spin up a DocumentDB cluster to test the MongoDB capabilities that we relied on. Now our engineers have more time to build new features for customers instead of managing databases.”
Vijay Lakshminarayanan, Senior Manager, Engineering - Freshworks
Habby is a mobile game publisher that empowers creative studios by publishing games globally on iOS and Android and promoting unique fun games for everyone.
"At Habby, we use Amazon DocumentDB to store, query, and analyze both game player data and game operational data as well as data for promotional activities. Amazon DocumentDB is a natural and convenient choice for Habby as all of our game data is JSON and Amazon DocumentDB makes it easy to read and write that JSON data to the database. We chose Amazon DocumentDB because of the ease-of-management and its compatibility with MongoDB. We had initially planned to self-manage MongoDB on EC2 but found through testing that it was not convenient and required more work than we were willing to invest. With Amazon DocumentDB, our development team can scale, iterate, and upgrade games quickly, the marketing team can carry out high pertinence promotion activities, and our customer service team can troubleshoot problems from game players efficiently.”
Shuxiang Zhao, Chief Technology Officer - HABBY PTE.LTD.
"At Hudl, we utilize a significant amount of AWS services, as we're always looking for opportunities to get out of the business of managing our own infrastructure. Our developers love the MongoDB API and document model. We're very excited about the launch of Amazon DocumentDB, as it fits perfectly into our short-term and long-term architectural plans. Amazon DocumentDB has the capabilities we're looking for, and it's great to see AWS Database Migration Service (DMS) support from day one."
Brian Kaiser, CTO - Hudl
"Adopting Amazon DocumentDB is a game-changer because we offload management, security, and backup of our MongoDB databases to AWS. With Amazon DocumentDB, we can add or scale instances in minutes, regardless of data size. Further, we get automatic backups and point-in-time restore capabilities, which far exceed other managed DB services at less cost. If you multiply those productivity gains across the organization, it’s huge. By moving much of the operational overhead to AWS, and eliminating the need to manage our MongoDB databases, Amazon DocumentDB frees up funds for innovation.”
Dylan Stamat, CEO - Iron.io
Monkey Exchange connects traditional industry suppliers to buyers of receivables through a digital trading platform. The Monkey Exchange platform is a real-time auction system, which creates a competitive process among buyers with new securities/receivables being added and traded daily.
“Here at Monkey Exchange we use Amazon DocumentDB to store hundreds of thousands of push notifications and webhooks events every day for customer invoices exchange, digital signatures, auction results, and more. In the beginning, we used a self-hosted MongoDB cluster, which consumed a lot of time from our infrastructure team, and now we saved at least 30 hours per month and the engineers can be focus on our business. When we decided to migrate to Amazon DocumentDB, the process was simple and in less than 4 hours we migrated all our data and changed the applications to the new DocumentDB cluster. The compatibility with the MongoDB API is awesome and makes work easier. Today we can take advantage of all the benefits and guarantees of an AWS managed service.”
Felipe Adorno, CTO - Monkey Exchange
ODX, a wholly owned subsidiary of OnDeck, provides a technology platform that delivers automated end-to-end digital lending and account opening solutions for financial institutions.
“Technology platforms must be designed to support an ever-growing number of customers and volume of data. Amazon DocumentDB gives us the flexibility and capabilities to react to such growth by scaling in minutes versus hours. In addition, with DocumentDB, we are able to reduce costs and eliminate the need for annual license renewals. By automating DocumentDB deployments, we are able to reduce operational burden and increase deployment consistency.”
Raj Kolluri, SVP Head of Product and Technology - ODX
"With ever increasing data volumes, and growing demand for schema flexibility, our log collection service faced challenges with managing data on a traditional relational database. Amazon DocumentDB (with MongoDB compatibility)'s support for a flexible document model and a fully managed service has relieved us from handling rigid schema and enabled us to operate mission-critical workloads at scale with ease.”
Dr. Wooseung Jang, VP of Samsung Electronics
Sandstone offers innovative banking solutions supported by teams with decades of experience.
”When Sandstone launched their new cloud native, AI based system for automated document analysis, we chose to use Amazon DocumentDB to simplify our platform management and provide a highly available, performant and scalable service. DocumentDB is compatible with the reactive database drivers that we use and provides the ability to stream data all the way from the database to the API consumer, at a rate determined by what our clients can consume, thereby allowing us to provide a technically superior solution with bounded memory consumption and predictable behavior under load. Integration with AWS KMS for data encryption at rest, transparent failover with read-replicas and the ability to take incremental database snapshots significantly lowers the operational burden for our team running the platform.”
Andrew Duckworth, CTO - Sandstone Technology
"To provide our readers with the best possible experience, the Washington Post engineering team leverages AWS database services because they offer self-service provisioning without compromising operational excellence. From automated backup to multi-AZ failover, Amazon DocumentDB provides all the key features we need to build the world class systems that power both our Arc Publishing business and our machine learning platform. Document databases support the unstructured data that is prevalent in media, and with Amazon DocumentDB, we can now leverage AWS for all our critical database needs."
Patrick Cullen, Director of Data Science and Artificial Intelligence - The Washington Post
“Woot! replaced our aging, self-managed, and operational nightmare product catalog database running on MongoDB 2.2 with Amazon DocumentDB. With only minimal changes, we were able to able to upgrade our driver and complete our full production migration in three weeks. In doing so, we cut our infrastructure costs for the database by 82%, including licensing costs. With Amazon DocumentDB, we’ve seen improved latency and scalability, and now have a safer backup solution and can perform point-in-time recovery to any second during a 35-day window. With AWS service integrations and improved scaling, we’re now able to stand up new features faster which enables us to innovate faster on behalf of our customers. We are thrilled to be out of the business of managing our own MongoDB database.”
Sam Giagtzoglou, Software Development Engineer – Woot!
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