“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
Headquartered in Osaka, Japan, The Asahi Shimbun Company produces a wide range of media in formats such as the national newspaper The Asahi Shimbun and the news site Asahi Shimbun Digital.
"The application delivery platform built using AWS has been operating stably since its release, supporting a news delivery service that requires 24x7 reliability. In particular, by utilizing Amazon DocumentDB, we have been able to reduce operating costs while allowing flexibility in article category searches. Amazon DocumentDB has high read browsing performance and maintains high performance that can withstand millions of requests. In addition, we determined that since it is a fully managed service, we are freed from operations such as scaling, backup and patch application, which would lead to reduced development and operation costs."
Tatsuki Okamoto, Customer Experience Department, Digital Innovation Headquarters - Asahi Shimbun
"Part of BBC News Online uses Amazon DocumentDB to store and query data from multiple feeds to provide compiled data in a single feed to our customers. In order to solve problems aggregating data with no clear relational model, we migrated to Amazon DocumentDB to get the benefits of a fully managed serviced where we can store and query our data in a simple and reliable way. Further, because high availability, durability, and backup are enabled by default, those are tasks that we no longer need to worry about, and that frees up developers to work on new capabilities. Using DocumentDB has given us the right functionality, performance, and affordability to make it a good choice in building a service that helps power BBC News Online. Working closely with AWS engineers we were able to achieve a 93% infrastructure cost reduction by adopting some strategies when compiling data."
Alfonso Afonso, Software Engineering Team Lead - BBC
Capital One has been a disrupter in the financial services industry since 1994, using technology to transform banking and payments. As part of their digital transformation journey, Capital One adopted several purpose-built AWS databases to help manage data at a large scale and accelerate innovation. Check out the video below to learn how Capital One uses databases such as Amazon DocumentDB (with MongoDB compatibility), Amazon DynamoDB, and Amazon RDS to scale the digital experiences their customers want.
"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
Watch the AWS re:Invent 2022 session: How Capital One accelerates innovation with AWS databases »
“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
DMM GAMES is a Japanese publisher and developer of a wide variety of popular online games.
“DMM GAMES uses Amazon DocumentDB (with MongoDB compatibility) to store user data, friend data and battle data for two of our popular game titles. Both games experience heavy traffic which can be as high as tens of millions of requests/day. And to match our growing user base of over 200,000+ users per month, we need a database that can scale quickly and efficiently. Amazon DocumentDB is a fully managed database, so rather than manage the underlying infrastructure, our engineers can focus on developing better games. In addition, the service scales quickly and easily, which gives us the flexibility to respond to critical events when we expect to see high traffic. As a result, we see better performance and lower cost with very little downtime."
Yuso Oki CEO - Without Co. Ltd.
“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
eHealth is a US based online marketplace for health insurance. eHealth partners with over 180 top insurers to help customers find essential health coverage.
“eHealth's mission is to connect everyone with quality, affordable health insurance and Medicare plans, and we were looking for a managed service for MongoDB when we moved "all in" to the AWS Cloud. We had a plethora of different technologies; Oracle, SQL Server, Mysql, PostgreSql and MongoDB in our environment. Prior to our migration, each SQL/NoSQL database had its own way of doing backups, monitoring, replications, security, etc, and 30% - 35% of our DBAs time was spent on installation, patching, upgrade, and compliance. We chose DocumentDB as most of the MongoDB features were already compatible and it was a seamless migration, and it was the first time we felt it was in the realm of possibility to easily manage open-source SQL/NoSQL databases. It took 3 months to migrate 11 databases & applications ranging from POC, Dev, QA,CM to PROD. The biggest benefit is our developers are spending ZERO time managing the infrastructure (installation, patching, upgrades, backups, monitoring, alerting, etc) and focus more on delivering business value.”
Sundar Shankar, Director of Cloud & SRE - eHealth Inc.
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
The Financial Industry Regulatory Authority (FINRA) is a not-for-profit organization that writes and enforces the rules governing brokers and broker-dealer firms in the United States. FINRA’s overarching goal is to protect investors and safeguard market integrity and it chose to build on Amazon Web Services (AWS).
“FINRA’s data collection platform stores millions of regulatory filings from hundreds of thousands of broker dealers, investment advisors, and stock exchanges. Our previous platform was built using a relational database that stored data in XML. This had a rigid query structure and required us to write custom code for data versioning and schema validation. We chose Amazon DocumentDB (with MongoDB compatibility) because it natively stores data in JSON, and makes it simpler to query and index regulatory documents. This reduces our development cycles and extends the usability of our data by easily integrating with other systems that leverage JSON. With Amazon DocumentDB, we’ve been able to reduce costs by over 50 percent month-over-month and gain better performance. With AWS, our databases are scalable, highly available, and encrypted without any overhead from our engineering teams. It would have taken years to get where we are if we had to build all the services ourselves.”
Mohammed Elghoul, Senior Principal Architect of Regulatory Operations and Registration Platforms Technology – 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
"We think that, at full scale, with all the regulatory reporting functionality, we will be pulling forward close to 100 TB of data using Amazon DocumentDB.”
Philip Nick, Senior Director of Production Engineering - Greenway
"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.
Homage is a managed caregiving platform that combines the best trained care professionals with smart technology to manage and provide on-demand home care giving to seniors, allowing them to age at home with grace, control and dignity.
"At Homage, we use Amazon DocumentDB to store our user's data and matching of our customer and care professionals. We chose Amazon DocumentDB because of the fully managed services provided by AWS, such as point in time restore and encryption at rest. To migrate to DocumentDB, we have used the AWS Database Migration Service, which made it easy to perform a near zero-downtime migration. Having used DocumentDB in production, we have observed higher reliability with less operational burden. The result is that our engineers are able to focus on building highly scalable solutions that enable us to deliver care to more users.”
Poh Wei Sheng, Full stack Software Engineering Lead – Homage
"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
Knotion is an integrated learning ecosystem that helps students solve impactful transdisciplinary challenges empowering them to change the world.
“At Knotion, we use Amazon DocumentDB (with MongoDB compatibility) for our learning module called Class Journey. With Class Journey, thousands of students can track their progress across several tasks in the module. All activity for our learning module is modeled as JSON documents in Amazon DocumentDB. We chose Amazon DocumentDB because of its unique architecture, reliability, scalability, performance, and seamless integration with other AWS services such as Lambda, S3, and Elastic Beanstalk. Particularly painful database management tasks such as backups, patching, setting up high availability, and scaling are available out of the box, freeing up our time to improve Knotion’s learning modules rather than managing our databases.”
Hernan Ramirez Mirabent, CTO - Knotion
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
N-Digital is a leading digital marketing agency in Thailand, helping customers with their marketing, modernization, and digital transformation needs.
“At N-Digital we use Amazon DocumentDB to store, query, and analyze data generated by our log collection service. Our log collection service gathers data from various sources such as Amazon MQ and Amazon Managed Streaming for Apache Kafka. We model our data as JSON documents and use Amazon DocumentDB to understand user patterns for marketing research, drive decisions, and analyze problems. We migrated our SQL Server workload using AWS Database Migration Service (DMS) to Amazon DocumentDB because we found that Amazon DocumentDB is more performant, gives us schema flexibility, and handles our workload at scale with high availability and durability. With Amazon DocumentDB we were able to flush 300K-400K records within 1-2 minutes, which is faster than any other cloud provider we tried. We are confident that Amazon DocumentDB will continue to help us meet our goals as we continue to grow.”
Athiwat Pootongjai, CEO - N-Digital
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
Founded in 2015, Plume is a leader in smart home services, with platforms available through some of the largest internet service providers in the world, including Comcast and Liberty Global. Headquartered in Palo Alto, California, Plume is deployed to nearly 20 million homes globally and manages over half a billion devices in its cloud.
"On day one, we were able to scale far beyond what we were capable of doing with MongoDB. We’ve gotten great customer service from the Amazon DocumentDB service team. From my point of view regarding infrastructure, infrastructure management, and operations, I’d say it’s a win. We’ve absolutely come out on top."
Brad Fino, Director of DevOps - Plume
Punchh, Inc. is a leading digital marketing company that offers software-as-a-service solutions to brick-and-mortar retailers and restaurants. It supports its customers in maximizing their customer lifetime value and growing their same-store sales by running loyalty programs.
"We tested the scalability and performance of Amazon DocumentDB with a two-fold increase in the load of data we usually work with, and the results were impressive. There were no delays or downtime in performance, allowing multiple concurrent campaigns to run smoothly. As an AWS Enterprise Support customer, we also had 24x7 technical support in finetuning the performance of our platform with Amazon DocumentDB. Thanks to AWS, we were able to achieve high scalability and 20 percent cost-savings. The steps we’ve taken with AWS to migrate our database to DocumentDB will enable us to improve our offerings and refine our customers’ loyalty and marketing efforts. Some of our customers’ marketing campaigns target millions of guests—which means inserting millions of notifications as individual records in our database. With AWS, we can handle a request for millions of notifications to be sent out in real-time, for different brands, concurrently. This ultimately helps the brands on our platform to deliver better value to their customers.”
Bhanu Mohanty, Chief Architect - Punchh
Founded in 2015, Rappi is Colombia’s first tech startup to be valued at over $3.5 billion. It offers on-demand, last-mile delivery for almost anything—from food and clothing to insurance and financial services—in nine Latin American countries.
"We have 2,000 different databases in production, with DocumentDB being the second most prominent. We had to make small adjustments to transition from MongoDB to Amazon DocumentDB, but after we did, we found that with a lot less code, we could accomplish the same tasks with a lot more stability. Now, engineers have maybe 5 percent of the problems they had before, and if they have problems, it’s a problem with the logic or on the application side, not because Amazon DocumentDB is doing something wrong.”
Marcelo Soto, Head of Data Platform - Rappi
Read the case study » Watch the video » Watch the AWS re:Invent 2021 session »
"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 - 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
Smartsheet is the enterprise platform for dynamic work, enabling teams and organizations to plan, capture, manage, automate, and report on work at scale.
"At Smartsheet, we use Amazon DocumentDB as the datastore for our Activity Log feature that allows customers to view a log of events for their Sheets/Dashboards/Reports. Some simple examples of events are : when a sheet was last viewed and what modifications were made to a given sheet. We migrated a multi-terabyte workload to Amazon DocumentDB so that we no longer have to self-manage a MongoDB cluster. DocumentDB is highly available and durable by default, backups are easy to manage and don’t require any complex tooling, patching is automatic, and we can quickly and easily scale our workloads when our needs change. Since migrating to DocumentDB, we have been able to free up a developer to work on more pressing needs and that would have otherwise been tasked with managing the database."
Terry Siu, Senior Software Engineer - Smartsheet
"Sportradar is the leading global provider of sports data intelligence, delivering real time analytics to media companies, sports federations, and sports books. We chose Amazon DocumentDB because we wanted a simpler way to migrate, scale, and operate our MongoDB workloads. Our Managed Trading Services offering helps operators manage their sportsbook business risks with each transaction, and DocumentDB lets us use the rich open source MongoDB API with improved performance and global availability. The COVID-19 pandemic had a worldwide impact on sports, and DocumentDB enabled us to seamlessly scale our clusters and grow our business as demand changed with the highly anticipated return of sports."
Ben Burdsall, CTO - Sportradar
Sumadi is a supervision platform used by education and government institutions. It captures and analyzes images, audio, screenshots, and other data from test-takers while they are taking online exams, using the latest artificial intelligence (AI) and machine learning.
"Our solutions can supervise tens of thousands of simultaneous exams, sending information from each exam every minute, which is saved and processed in near real time to help faculty detect prohibited behaviors. Our application data was initially set up in another service that was also MongoDB based. As we grew, we realized that Amazon DocumentDB (with MongoDB compatibility) was the only service that supported our high concurrency levels. With the help of our Amazon Web Services (AWS) Enterprise Support team, we migrated to AWS in just 3 weeks. We decided to migrate the data and update our application code using Amazon DocumentDB because it is a fully managed service. It creates and configures multiple servers in record time without the need for specialized infrastructure knowledge. It scales by adding read-only copies and encrypts and secures the database in just a couple of clicks."
Julio Elgueta, Director of Security and Enterprise Architecture - Sumadi
"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!
“Zipwhip was the first company to enable texting on existing business phone numbers, and today is the world’s leading business-texting software and API provider. Businesses use Zipwhip to increase customer engagement and drive growth through texting on their existing landline, VoIP or toll-free phone number. At Zipwhip, we use Amazon DocumentDB and other specialized databases to handle the millions of text messages sent by our customers each day. We chose Amazon DocumentDB because of the reduced operational overhead when using a fully-managed database service, as well as the MongoDB API compatibility that our engineers already know. Having used DocumentDB in production for the last year, we have observed a 10x performance increase for some queries, and the service has scaled to meet our growing demand.”
Kolby Allen, Principal Architect – Zipwhip
Headquartered in Seattle, Washington, Zulily sells everything from clothing, footwear, toys, and home products primarily to tech-savvy moms looking for great value and a fun shopping experience.
“We use Amazon DocumentDB (with MongoDB compatibility) to collect and store search keywords and related brand and product category data that we use to power a suggestive search experience, which provides Zulily customers with shopping inspirations based on what other customers have searched for. Prior to DocumentDB, we used MongoDB. While MongoDB gave us scale and a rich query language, managing the databases directly meant that we had less time to innovate for our customers. DocumentDB gave us an opportunity to benefit from the features we were already familiar with while reducing the amount of time we spent on database administration. We can ship features faster and spend more time focusing on the customer needs. Leveraging DocumentDB combined with Amazon Kinesis Data Analytics and serverless compute in Lambda allowed us to reduce the implementation time of the suggestive search experience significantly.”
Sergey Podlazov, Director of Engineering, Shopping Experience – Zulily
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