noisepage
MongoDB
noisepage | MongoDB | |
---|---|---|
4 | 249 | |
1,677 | 25,453 | |
- | 0.6% | |
0.0 | 10.0 | |
over 1 year ago | 8 days ago | |
C++ | C++ | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
noisepage
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The Part of PostgreSQL We Hate the Most (Multi-Version Concurrency Control)
> Carne
Okay, so, noisepage appears to be open source https://github.com/cmu-db/noisepage/
But I can't find the Ottertune Github page
Is any part of Ottertune open source?
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Rethinking Stream Processing and Streaming Databases
I was one of the main authors of a research project called Peloton (https://github.com/cmu-db/peloton) which was later rebranded to NoisePage (https://github.com/cmu-db/noisepage). The initial version of RisingWave actually borrowed a lot from Peloton (fun fact: that's also how DuckDB https://duckdb.org/ started!), but we decided to rewrite in Rust due to development cost and security (e.g., memory leakage) considerations (more info: https://www.risingwave-labs.com/blog/building-a-cloud-database-from-scratch-why-we-moved-from-cpp-to-rust/).
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Show HN: OtterTune – Automated Database Tuning Service for RDS MySQL/Postgres
> If I may, can you please shed light on why Peloton had to be archived and in essence re-done with OtterTune. Interested in your team's learnings from it from a software engineering point of view.
Peloton and OtterTune are completely different projects. Peloton was abandoned and rewritten as NoisePage (https://noise.page). OtterTune has always been OtterTune.
See this recent interview where I discuss why we gave up on Peloton:
https://www.ibm.com/cloud/blog/database-deep-dives-with-andy...
> - How did the team ensure this project doesn't suffer from the same disadvantages as its predecessor?
Again, different projects. OtterTune is all about not having to modify the internals of Postgres, MySQL, and any other DBMS. This is why we were able to support Oracle in the academic version in a short amount of time:
https://ottertune.com/blog/vldb-autonomous-database-tuning-i...
> - What would you advise other teams undertaking a rewrite to pay off their tech debts?
It is hard for to provide general advice for this question because every situation is different.
> How does this project compare to / contrast with Google's and SingleStore's efforts in this space?
I am not familiar with Google or SingleStore using ML in the manner that we are with OtterTune to tune configuration knobs. Or at least I have not seen anything public about it.
These days Oracle is the most aggressive with pushing automated tuning capabilities (Oracle's autonomous DBaaS, AutoPilot for MySQL Heatwave). The difference with these approaches and OtterTune is that right now we are focused on configuration tuning (to avoid data privacy issues) and our core approach is platform/DBMS agnostic.
> Any chance we see you do a Peter Bailis and Sisu Data this? (:
I don't know what you mean by this? Peter Bailis is the Ryan Gosling of databases.
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Resumable Allocator?
The state of the art for this sort of thing is (Leanstore/Umbra - https://umbra-db.com/) or the new NoisePage database (https://github.com/cmu-db/noisepage/tree/master/src/storage). There is also the HyRise database, but that one focuses more on datasets that fit entirely in memory (https://hpi.de/plattner/projects/hyrise.html)
MongoDB
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System Design: Databases and DBMS
MongoDB
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From Zero to CRUD Hero: Building Your First Backend API in JavaScript
First, visit MongoDB Atlas and create an account, or sign in if you already have one. This article will guide you through the process of creating a MongoDB account. You should be redirected to your dashboard once you have completed the process. Locate the Connect button and click it.
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Understanding SQL vs. NoSQL Databases: A Beginner's Guide
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.
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Building Llama as a Service (LaaS)
I built each API with Node.js, Express, and Docker. Services connected to a NoSQL MongoDB database.
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Time Series Blob Data: ReductStore vs. MongoDB
In edge computing, managing time series blob data efficiently is critical for performance-sensitive applications. This blog post will compare ReductStore, a specialized time series database for unstructured data, and MongoDB, a widely-used NoSQL database.
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Build Your Own Uptime Monitor with MeteorJS + Fetch + Plotly.js ☄️🔭
MongoDB to store our data as documents, close to JS objects
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How to choose the right type of database
MongoDB: Known for its ease of development and strong community support, MongoDB is effective in scenarios where flexible schema and rapid iteration are more critical than strict ACID compliance.
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How to create a dynamic AI Discord bot with TypeScript
MongoDB
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Mastering Microservices: A Hands-On Tutorial with Node.js, RabbitMQ, Nginx, and Docker
Ensure you have MongoDB installed for data storage. You can download MongoDB Community Server from MongoDB's official website or use the cloud cluster.
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
We will be using MongoDB as a database on both the Auth microservice and notifications microservice, sign up for a MongoDB Atlas account here incase you donot have one and donot have its desktop application(mongodb campass) installed and would like to use mongodb atlas. This cloud-based database service offers a free tier and simplifies the process of managing MongoDB databases.
What are some alternatives?
openstack-ansible-os_trove - Role os_trove for OpenStack-Ansible. Mirror of code maintained at opendev.org.
mongo-express - Web-based MongoDB admin interface, written with Node.js and express
sled - the champagne of beta embedded databases
Marten - .NET Transactional Document DB and Event Store on PostgreSQL
bustub - The BusTub Relational Database Management System (Educational)
LiteDB - LiteDB - A .NET NoSQL Document Store in a single data file
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
ClickHouse - ClickHouse® is a free analytics DBMS for big data
SQLAlchemy - The Database Toolkit for Python
Apache Ignite - Apache Ignite
SqlKata Query Builder - SQL query builder, written in c#, helps you build complex queries easily, supports SqlServer, MySql, PostgreSql, Oracle, Sqlite and Firebird