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CouchDB
Seamless multi-master syncing database with an intuitive HTTP/JSON API, designed for reliability
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
//Original Code from https://github.com/bytecodealliance/wasmtime/blob/main/examples/hello.rs //Adapted for brevity use anyhow::Result; use wasmtime::*; fn main() -> Result<()> { println!("Compiling module..."); let engine = Engine::default(); let module = Module::from_file(&engine, "hello.wat")?; //(1) println!("Initializing..."); let mut store = Store::new( &engine, () ); //(2) println!("Creating callback..."); let hello_func = Func::wrap(&mut store, |_caller: Caller<'_, ()>| { println!("Calling back..."); }); //(3) println!("Instantiating module..."); let imports = [hello_func.into()]; let instance = Instance::new(&mut store, &module, &imports)?; println!("Extracting export..."); let run = instance.get_typed_func::<(), ()>(&mut store, "run")?; //(4) println!("Calling export..."); run.call(&mut store, ())?; //(5) println!("Done."); Ok(()) }
Apache CouchDB belongs to the family of NoSQL databases. It is a document store with a strong focus on replication and reliability. One of the most significant differences between CouchDB and a relational database (besides the absence of tables and schemas) is how you query data. Relational databases allow their users to execute arbitrary and dynamic queries via SQL. Each SQL query may look completely different than the previous one. These dynamic aspects are significant for use cases where you work exploratively with your dataset but don't matter as much in a web context. Additionally, defining an index for a specific table is optional. Most developers will define indices to boost performance, but the database does not require it.
Find the full source code on GitHub.