DynamoDB
AWS Lambda
MongoDB
Redis
Amazon S3
MySQL
Apache Cassandra
Amazon API Gateway
Presto DB
Looker
Google BigQuery
Jupyter
Databricks
Rakam
Informatica
Concurrent
DynamoDB Presto DBNo Presto DB videos yet. You could help us improve this page by suggesting one.
Based on our record, DynamoDB seems to be a lot more popular than Presto DB. While we know about 103 links to DynamoDB, we've tracked only 6 mentions of Presto DB. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / 16 days ago
The first is AWS DynamoDB which is going to act as our NoSQL database for our project which we’re also going to pair with a Single-Table design architecture. - Source: dev.to / 14 days ago
DynamoDB - 25GB NoSQL DB EC2 - 750 hours per month of t2.micro or t3.micro(12mo). 100GB egress per month. - Source: dev.to / 3 months ago
After two years, I moved to a Web3 startup where I was given a lead software engineer role. This new role gave me more hands-on experience with AWS, where I've learned to implement serverless technologies like Lambda and DynamoDB. - Source: dev.to / 5 months ago
Dynamodb on amazon web services. https://aws.amazon.com/dynamodb/. - Source: Hacker News / 5 months ago
Presto is an open-source distributed SQL query engine, originally developed at Facebook, now hosted under the Linux Foundation. It connects to multiple databases or other data sources (for example, Amazon S3). We can use a Presto cluster as a single compute engine for an entire data lake. - Source: dev.to / almost 2 years ago
Fair point, but I am talking about Athena (not SQL Server), which under the hood uses a distributed query engine. It is capable to deal with huge amounts of data, if the storage is in the right shape. You can read more about the underlying technology here: https://prestodb.io/. Source: about 2 years ago
So there is Presto, which is a distributed SQL engine created by Facebook. Source: about 2 years ago
You can use Athena to run data analytics, with just standard SQL (Presto). - Source: dev.to / over 2 years ago
Presto does this, but I'm honestly uncertain how performant it is. In my experience, centralizing data is the superior approach to attempting to query multiple sources in place. Source: almost 3 years ago
AWS Lambda - Automatic, event-driven compute service
Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
