What is Amazon DynamoDB?
Who uses Amazon DynamoDB?
Amazon DynamoDB Integrations
Here are some stack decisions, common use cases and reviews by companies and developers who chose Amazon DynamoDB in their tech stack.
So, I have data in Amazon S3 as parquet files and I have it available in the Glue data catalog too. I want to build an AppSync API on top of this data. Now the two options that I am considering are:
Bring the data to Amazon DynamoDB and then build my API on top of this Database.
Add a Lambda function that resolves Amazon Athena queries made by AppSync.
Which of the two approaches will be cost effective?
I would really appreciate some back of the envelope estimates too.
Note: I only expect to make read queries. Thanks.
Hello there! I want to build a web code-sharing tool, and I was wondering which database is suitable for storing source code and version. I thought about Amazon DynamoDB because it scales very well, but I'm afraid it could not satisfy all my access patterns. On the other hand, I have PlanetScaleDB, a serverless MySQL database meaning I will not have to worry about scaling, but I'm wondering if it is suitable for storing source code and accessing it quickly.
I want to use it on my blog to show source code on my posts. I have around 10k views per month, and a blog post has around 5 - 15 code snippets. It will continue to grow since I write frequently. So, I want a database that will not get swamped while blog posts and visitors increase.
Can you help me make a choice, please? I really appreciate any help you can provide.
We are developing an AWS IoT app for large boats. The IoT devices have sensors all over the boat for engine oil pressure, position, water depth, fuel level, crew location, etc. When the boat has internet, we interact with AWS cloud using lambda and Amazon DynamoDB. When the boat is offshore, the captain and crew still need normal and emergency alerts and real-time sensor information. The crew might have an Android or IoS phone or a Windows or macOS PC to receive alerts and interact with sensors. We may use the AWS GreenGrasss edge computing solution and either MQTT or HTML for that function.
Question: We want to develop a cross-platform client to run on Windows, Mac, Android, IOS, and possibly Linux. We are primarily Python programmers, so PyQt or Kivy are options for us, but we have heard good things about React Native, Flutter, Xamarin, and others. We think an AWS Greengrass core on an RPI4 could communicate to the client with MQTT or a local webserver with a client web interface.
Any thoughts would be much appreciated.
I am currently working on a long term mobile app project. Current stack: Frontend: Dart/Flutter Backend: Go, AWS Resources (AWS Lambda, Amazon DynamoDB, etc.) Since there are only two developers and we have limited time and resources, we are looking for a BAAS like Firebase or AWS Amplify to handle auth and push notifications for now. We are prioritizing developing speed so we can iterate quickly. The only problem is that AWS amplify support for flutter is in developer preview and has limited capabilities (We have tested it out in our app). Firebase is the more mature option. It has great support for flutter and has more than we need for auth, notifications, etc. My question is that, if we choose firebase, we would be stuck with using two different cloud providers. Is this bad, or is this even a problem? I am willing to change anything on the backend architecture wise, so any suggestions would be greatly appreciated as I am somewhat unfamiliar with Google Cloud Platform. Thank you.
Hi, community, I'm planning to build a web service that will perform a text search in a data set off less than 3k well-structured JSON objects containing config data. I'm expecting no more than 20 MB of data. The general traits I need for this search are: - Typo tolerant (fuzzy query), so it has to match the entries even though the query does not match 100% with a word on that JSON - Allow a strict match mode - Perform the search through all the JSON values (it can reach 6 nesting levels) - Ignore all Keys of the JSON; I'm interested only in the values.
The only thing I'm researching at the moment is Elasticsearch, and since the rest of the stack is on AWS the Amazon ElasticSearch is my favorite candidate so far. Although, the only knowledge I have on it was fetched from some articles and Q&A that I read here and there. Is ElasticSearch a good path for this project? I'm also considering Amazon DynamoDB (which I also don't know of), but it does not look to cover the requirements of fuzzy-search and ignore the JSON properties. Thank you in advance for your precious advice!
We are building a social media app, where users will post images, like their post, and make friends based on their interest. We are currently using Cloud Firestore and Firebase Realtime Database. We are looking for another database like Amazon DynamoDB; how much this decision can be efficient in terms of pricing and overhead?
Amazon DynamoDB's Features
- Automated Storage Scaling – There is no limit to the amount of data you can store in a DynamoDB table, and the service automatically allocates more storage, as you store more data using the DynamoDB write APIs
- Provisioned Throughput – When creating a table, simply specify how much request capacity you require. DynamoDB allocates dedicated resources to your table to meet your performance requirements, and automatically partitions data over a sufficient number of servers to meet your request capacity
- Fully Distributed, Shared Nothing Architecture