surrealdb VS Apache AGE

you should add https://surrealdb.com -- basically an open source firebase. and they will launch a paid cloud offering soon.

In this article, I have shared how I have built a simple task-tracking full-stack application using NextJS and SurrealDB.

In this article, I'll show you how you can create a binary package for your desired program. I wanted to download the SurrealDB package, but the package on nix was a source package, meaning that I had to spend over 50 minutes waiting for a stupid package to compile.

Get Cloud Version going!

SurrealDB comes with a LIVE SELECT statement that allows you to listen for creations, updates and deletions to specific records you are interested in or entire tables. While you could already take advantage of this powerful feature with our JavaScript SDK or WebSockets, the Rust SDK added an API for it in v1.1.0. ​ The Rust API for live queries builds on top of the already existing select method by simply adding a live method which converts the select query into a live select one. It works seamlessly with our current API, so you can use it with single records, a range of records, or entire tables. Unlike the normal select method which returns either a single result or a vector of results, it returns a stream of notifications. This works for the WebSocket engine and the local ones (the key value stores you can embed in your app). The only engine not yet supported is the HTTP one. ​ In this article, we show some examples of running live queries via the Rust SDK. We will skip imports for brevity but your IDE and/or the Rust compiler should give you the correct suggestions. Please refer to this example in our repo for a full, working example. ​

1.0 version but https://github.com/surrealdb/surrealdb/issues/1548 is still open :)

In the midst of a dynamic landscape of exciting new projects, one name shines bright — SurrealDB.

For more information and support, visit the Apache AGE website. or github.

These are just a few examples of how you can use Cypher queries in SQL/Cypher Hybrid Queries. By using these advanced techniques, you can perform more complex and powerful queries on your graph data. Apache AGE offer a versatile and powerful platform for working with graph and relational data concurrentlyz. To learn more you can visit age website or github page.

Cypher queries in Apache Age empower users to interact with graph data efficiently and intuitively. Whether you're creating nodes, establishing relationships, or performing complex traversals, Cypher provides a robust and expressive language for working with graph databases.As you explore Apache Age and Cypher further, you'll discover additional features and nuances that make graph database management a seamless experience. Embrace the power of graph queries, and unlock the full potential of your interconnected data with Apache Age. Happy graph querying!

Check Apache AGE graph database system here: Website: https://age.apache.org/ GitHub: https://github.com/apache/age

We are also open Source community at Apache https://github.com/apache/age