CouchDB
Airflow
Our great sponsors
CouchDB | Airflow | |
---|---|---|
27 | 169 | |
6,009 | 34,397 | |
0.9% | 2.1% | |
9.5 | 10.0 | |
5 days ago | 5 days ago | |
Erlang | Python | |
MIT License | Apache License 2.0 |
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.
CouchDB
- Why SQLite is so great for the edge
-
Creating an offline node.js app, but what can I use as a database?
CouchDB is a json based database for simple projects. The fork pouchdb offers lots of support for offline.
-
How to run WebAssembly from your Rust Program
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.
-
Erlang: The coding language that finance forgot
I just turns out you can't always do that in a real codebase. For example see here:
https://github.com/apache/couchdb/blob/23efd8e5b1aa96ef01640fec03a5fedc945ba8b9/src/couch_mrview/src/couch_mrview_http.erl#L228
-
System Design: The complete course
Example: Apache Cassandra, CouchDB.
-
Help need for Third Year Computer Science Project which is a dating website.
For non-SQL-based databases, consider MongoDB, or CouchDB, which are very easy to get started with.
-
PDF Reviewer (3) - The Architecture
The Apache CouchDB server. It stores Annotation data.
-
Database of Databases
CouchDB
- [AskJS] technology stack for PWA, ServiceWorker and offline first web app?
-
How would you implement online offline db sync?
You can implement the sync algorithm from scratch, or you can use tools like CouchDB and turtleDB to help you.
Airflow
-
Building in Public: Leveraging Tublian's AI Copilot for My Open Source Contributions
Contributing to Apache Airflow's open-source project immersed me in collaborative coding. Experienced maintainers rigorously reviewed my contributions, providing constructive feedback. This ongoing dialogue refined the codebase and honed my understanding of best practices.
-
Navigating Week Two: Insights and Experiences from My Tublian Internship Journey
In week Two, I contributed to the Apache Airflow repository.
-
Airflow VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
-
Best ETL Tools And Why To Choose
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.
-
Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring.
-
Share Your favorite python related software!
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic!
-
Ask HN: What is the correct way to deal with pipelines?
I agree there are many options in this space. Two others to consider:
- https://airflow.apache.org/
- https://github.com/spotify/luigi
There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file showing up in a directory…
- "Você veio protestar para ter acesso ao código fonte da urnas. O que é o código fonte?" "Não sei" 🤡
- Cómo construir tu propia data platform. From zero to hero.
-
Is it impossible to contribute to open source as a data engineer?
You can try and contribute some new connectors/operators for workflow managers like Airflow or Airbyte
What are some alternatives?
Riak - Riak is a decentralized datastore from Basho Technologies.
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
LevelDB - LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.
dagster - An orchestration platform for the development, production, and observation of data assets.
RethinkDB - The open-source database for the realtime web.
n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
Redis - Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.
luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Apache Cassandra - Mirror of Apache Cassandra
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing
Appwrite - Build like a team of hundreds_
Dask - Parallel computing with task scheduling