Based on our record, DynamoDB should be more popular than Apache Calcite. It has been mentiond 101 times since March 2021. 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.
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 / 6 months ago
Amazon DynamoDB is a managed NoSQL database service provided by Amazon Web Services (AWS). It is designed for applications that require seamless and fast performance at any scale. DynamoDB is known for its high availability, durability, and scalability, making it suitable for a wide range of use cases, including web and mobile applications, gaming, IoT (Internet of Things), and more. - Source: dev.to / 7 months ago
> Make diff work on more than just SQLite. Another way of doing this that I've been wanting to do for a while is to implement the DIFF operator in Apache Calcite[0]. Using Calcite, DIFF could be implemented as rewrite rules to generate the appropriate SQL to be directly executed against the database or the DIFF operator can be implemented outside of the database (which the original paper shows is more efficient).... - Source: Hacker News / 9 months ago
Use a SQL Parser like sqlglot or Apache Calcite to compile user's query into an AST. Source: about 1 year ago
One parser I think deserves a mention is the one from Apache Calcite[0]. Calcite does more than parsing, there are a number of users who pick up Calcite just for the parser. While the default parser attempts to adhere strictly to the SQL standard, of interest is also the Babel parser, which aims to be as permissive as possible in accepting different dialects of SQL. Disclaimer: I am on the PMC of Apache Calcite,... - Source: Hacker News / over 1 year ago
Apache Calcite can do this, though it's not a beginner-friendly task: https://calcite.apache.org/. - Source: Hacker News / over 1 year ago
You should look at Apache Calcite[0]. Like OctoSQL, you can join data from different data sources. It's also relatively easy to add your own data sources ("adapters" in Calcite lingo) and rules to efficiently query those sources. Calcite already has adapters that do things like read from HTML tables over HTTP, files on your file system, running processes, etc. This is in addition to connecting to a bunch of... - Source: Hacker News / almost 2 years ago
AWS Lambda - Automatic, event-driven compute service
Apache Drill - Schema-Free SQL Query Engine for Hadoop and NoSQL
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.