Based on our record, Delta Lake should be more popular than RethinkDB. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Throwing RethinkDB in the mix as well. https://rethinkdb.com/. - Source: Hacker News / about 1 month ago
I've been poking around, testing and breaking database servers for a long time (more than 20 years today). But a few years ago I came across a jewel, the grail, one of the best solutions available. Under the radar, shunned for whatever reason, RethinkDB is nonetheless one of the finest database server projects I've ever tested. - Source: dev.to / about 1 year ago
RethinkDB[0] looks like a "too good to be true" type of database. Anyone using it in production? What is your experience like? What are the pros and cons? [0] https://rethinkdb.com. - Source: Hacker News / about 1 year ago
Since you’re not new to the field you might want to peek https://rethinkdb.com/ since it got picked up as an open source project. Source: over 1 year ago
A Data Objects represents data which can be saved inside a database. This concept is in the heart of SQLAlchemy, but as the name should be obvious: it's for SQL Database (in general). Today, there are now document databases too (like MongoDB, ArangoDB, RethinkDB that I love so much, or even PostgreSQL). So, a "data" is like a "structured and typed document" that you save "as is". That's not the same paradigm, not... - Source: dev.to / almost 2 years ago
Delta is pretty great, let's you do upserts into tables in DataBricks much easier than without it. I think the website is here: https://delta.io. - Source: Hacker News / 4 months ago
Apache Iceberg is one of the three types of lakehouse, the other two are Apache Hudi and Delta Lake. - Source: dev.to / 5 months ago
The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 6 months ago
Databricks provides Jupyter lab like notebooks for analysis and ETL pipelines using spark through pyspark, sparkql or scala. I think R is supported as well but it doesn't interop as well with their newer features as well as python and SQL do. It interfaces with cloud storage backend like S3 and offers some improvements to the parquet format of data querying that allows for updating, ordering and merged through... - Source: Hacker News / 11 months ago
Structured, Semi-structured and Unstructured can be stored in one single format, a lakehouse storage format like Delta, Iceberg or Hudi (assuming those don't require low-latency SLAs like subsecond). Source: 11 months ago
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
CouchDB - HTTP + JSON document database with Map Reduce views and peer-based replication
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
GeoSpock - GeoSpock is the platform for data lake management, providing a unified view of the data assets within an organization and making it easily accessible.