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Based on our record, Apache Cassandra should be more popular than SQLPage - Build SQL-only websites. It has been mentiond 42 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.
Cassandra is a highly scalable, distributed NoSQL database designed to handle large amounts of data across many commodity servers without a single point of failure. - Source: dev.to / 11 days ago
Distributed storage Distributed storage systems like Cassandra, DynamoDB, and Voldemort also use consistent hashing. In these systems, data is partitioned across many servers. Consistent hashing is used to map data to the servers that store the data. When new servers are added or removed, consistent hashing minimizes the amount of data that needs to be remapped to different servers. - Source: dev.to / 2 months ago
On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 3 months ago
HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 4 months ago
Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 10 months ago
This article resonates with me. I do love "mildly dynamic websites", and have fond memories of my days hacking together PHP websites 15 years ago. And what I am working on today might be called a bridge for the "dynamicity gap". I'm making an open source server to write web apps entirely in SQL ( https://sql.ophir.dev/ ). It has the "one file per page" logic of PHP, and makes it easy to add bits of dynamic... - Source: Hacker News / 18 days ago
Saving a few clicks for readers: Project page: https://sql.ophir.dev/. - Source: Hacker News / 4 months ago
I am currently looking for a solution to run automated tests on a sql website generator I am working on ( https://sql.ophir.dev ) I wanted to use hurl (https://hurl.dev/), but Bruno's UI seems to be useful while developing the tests... Has someone tried both ? Which is better for automated testing, including when the response type is html and not json? - Source: Hacker News / 4 months ago
Full fledged BI tools like Superset and Metabase are amazing for their intended use cases. But they may be an overkill if your primary use case is to infrequently build semi-interactive reports for non-technical end-users and your use cases are are mostly covered by standard graphs & tables. Esp. So if you are familiar with SQL and have access to the underlying data source. Two nifty utilities I have found to be... - Source: Hacker News / 4 months ago
I feel obligated to add a shameless plug here. The idea is very close to a project I presented at pgconf.eu last week: SQLPage https://sql.ophir.dev/ SQLPage has the same goal as postgrest+htmx, but is a little bit higher level. It let's you build your application using prepackaged components you can invoke directly from SQL, without having to write any HTML, CSS, or JS. - Source: Hacker News / 7 months ago
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
Postgres.js - Postgres.js - The Fastest full featured PostgreSQL client for Node.js - porsager/postgres
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
htmx - high power tools for HTML
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
Gio UI - Gio is an open source library for creating portable, immediate mode GUI programs for Android, iOS, Linux, Windows, macOS.