DynamoDB
AWS Lambda
MongoDB
Redis
Amazon S3
MySQL
Apache Cassandra
Amazon API Gateway
Apache Pig
Looker
Jupyter
Presto DB
Google BigQuery
Databricks
Rakam
Informatica
DynamoDBBased on our record, DynamoDB seems to be a lot more popular than Apache Pig. While we know about 102 links to DynamoDB, we've tracked only 2 mentions of Apache Pig. 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.
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 / 4 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
Amazon DynamoDB is a key-value and document NoSQL database that can guarantee consistent reads and writes at any scale. It is designed to provide low-latency data access and high scalability and availability. It also supports features such as encryption at rest, backup and restore, and automatic scaling to ensure that your database can handle any workload. Amazon DynamoDB supports 2 types of consistency: Eventual... - Source: dev.to / 7 months ago
Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 1 year ago
In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / over 2 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.
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.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)
