nsblast VS materialize

nsblast

Example from one of my projects: https://github.com/jgaa/nsblast/blob/main/cmake/3rdparty.cmake

Yahat-cpp: Simple HTTP/API server library for use in C++ micro-services. This was just some code that kept evolving inside various projects, so I distilled it to a separate project to make it simpler to maintain. For an example of a real server using it, you cal look at nsblast, a new DNS server I'm implementing.

I hope this question is not too off-topic here. I'm a bit lost. I'm working on a C++ project (a DNS server). It exposes a REST API via an embedded, very simple HTTP server. I have added swagger to document the API, and to test it from a browser. Now, I want to provide a simple web-UI to the application. I don't want this to become a major task, and ideally I want either a UI that lives as some simple js/css/http files in the browser, (so it can be served as a static website on the server-side like swagger) - or some simple to use back-end library in C++ that can drive the web-UI. In short, I hope to find a way to do this where I can have a POC ready in <= a week, and where I don't have to spend lot's of time learning some js framework.

I'm using C++ for most of my projects, because I like it. It's also what I do for a living. The latest new open source project I initiated is a dns server, nsblast, using rocksdb for storage. https://github.com/jgaa/nsblast

The (side) project I have put most effort into in the last year is k8deployer, a helm like utility that can deploy simple and complex applications in kubernetes with minimal effort. https://github.com/jgaa/k8deployer

In these projects I don't use other languages. C++ is the only language where I easily get into "flow".

[2] https://materialize.com/

To fully leverage the data is the new oil concept, companies require a special database designed to manage vast amounts of data instantly. This need has led to different database forms, including NoSQL databases, vector databases, time-series databases, graph databases, in-memory databases, and in-memory data grids. Recent years have seen the rise of cloud-based streaming databases such as RisingWave, Materialize, DeltaStream, and TimePlus. While they each have distinct commercial and technical approaches, their overarching goal remains consistent: to offer users cloud-based streaming database services.

> Materialize no longer provide the latest code as an open-source software that you can download and try. It turned from a single binary design to cloud-only micro-service

Materialize CTO here. Just wanted to clarify that Materialize has always been source available, not OSS. Since our initial release in 2020, we've been licensed under the Business Source License (BSL), like MariaDB and CockroachDB. Under the BSL, each release does eventually transition to Apache 2.0, four years after its initial release.

Our core codebase is absolutely still publicly available on GitHub [0], and our developer guide for building and running Materialize on your own machine is still public [1].

It is true that we substantially rearchitected Materialize in 2022 to be more "cloud-native". Our new cloud offering offers horizontal scalability and fault tolerance—our two most requested features in the single-binary days. I wouldn't call the new architecture a microservices design though! There are only 2-3 services, each quite substantial, in the new architecture (loosely: a compute service, an orchestration service, and, soon, a load balancing service).

We do push folks to sign up for a free trial of our hosted cloud offering [2] these days, rather than trying to start off by running things locally, as we generally want folks' first impression of Materialize to be of the version that we support for production use cases. A all-in-one single machine Docker image does still exist, if you know where to look, but it's very much use-at-your-own-risk, and we don't recommend using it for anything serious, but it's there to support e.g. academic work that wants to evaluate Materialize's capabilities to incrementally maintain recursive SQL queries.

If folks have questions about Materialize, we've got a lively community Slack [3] where you can connect directly with our product and engineering teams.

[0]: https://github.com/MaterializeInc/materialize/tree/main

Some recent solutions to this problem include Differential Dataflow and Materialize. It would be neat if postgres adopted something similar for live-updating materialized views.

https://github.com/timelydataflow/differential-dataflow

https://materialize.com/

Materialize | Full-Time | NYC Office or Remote | https://materialize.com

Materialize is an Operational Data Warehouse: A cloud data warehouse with streaming internals, built for work that needs action on what’s happening right now. Keep the familiar SQL, keep the proven architecture of cloud warehouses but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.

Materialize is the operational data warehouse built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.

Senior/Staff Product Manager - https://grnh.se/69754ebf4us

Senior Frontend Engineer - https://grnh.se/7010bdb64us

===

Investors include Redpoint, Lightspeed and Kleiner Perkins.

Materialize | EM (Compute), Senior PM | New York, New York | https://materialize.com/

You shouldn't have to throw away the database to build with fast-changing data. Keep the familiar SQL, keep the proven architecture of cloud warehouses, but swap the decades-old batch computation model for an efficient incremental engine to get complex queries that are always up-to-date.

That is Materialize, the only true SQL streaming database built from the ground up to meet the needs of modern data products: Fresh, Correct, Scalable — all in a familiar SQL UI.

Engineering Manager, Compute - https://grnh.se/4e14099f4us

Senior Product Manager - https://grnh.se/587c36804us

VP of Marketing - https://grnh.se/9caac4b04us

How does it compare to https://materialize.com/ ?