PocketBase.io Reviews

Apache Spark Reviews

PocketBase.io mentions (95)

• Fast, Simple and Open Firebase Alternative: TrailBase

  Nice, something similar built with Golang: https://pocketbase.io/. - Source: Hacker News / 22 days ago

• PocketBase: Backend Made Simple

  If you're a solo developer or part of a small team, let me introduce you to one of the best-kept secrets in backend development: PocketBase. - Source: dev.to / about 1 month ago

• PocketBase + React Native

  I have a bit of an obsession with finding the fastest way to launch apps. My goal is to be able to create fully functional MVP's and proofs of concept in less than a day. That means being able to spin up a backend and then implement a frontend as efficiently as possible. For the backend, PocketBase has been my favorite lately. On the frontend I am still trying to find a winner. I like Quasar (VueJS + Capacitor)... - Source: dev.to / about 1 month ago

• Manifest: A 1-file micro-back end

  Are you aware of pocketbase? https://pocketbase.io/ I think it could work for your usecase, even though its generally focused on being a backend. I have had a very nice experience. - Source: Hacker News / 3 months ago

• Goravel: A Go framework inspired by Laravel

  For quick prototyping I really like https://pocketbase.io/ I am actually using this for a production site that gets 1 million requests per day. - Source: Hacker News / 3 months ago

Apache Spark mentions (70)

• Every Database Will Support Iceberg — Here's Why

  Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / about 2 months ago

• How to Reduce Big Data Analytics Costs by 90% with Karpenter and Spark

  Apache Spark powers large-scale data analytics and machine learning, but as workloads grow exponentially, traditional static resource allocation leads to 30–50% resource waste due to idle Executors and suboptimal instance selection. - Source: dev.to / about 2 months ago

• Unveiling the Apache License 2.0: A Deep Dive into Open Source Freedom

  One of the key attributes of Apache License 2.0 is its flexible nature. Permitting use in both proprietary and open source environments, it has become the go-to choice for innovative projects ranging from the Apache HTTP Server to large-scale initiatives like Apache Spark and Hadoop. This flexibility is not solely legal; it is also philosophical. The license is designed to encourage transparency and maintain a... - Source: dev.to / 3 months ago

• The Application of Java Programming In Data Analysis and Artificial Intelligence

  [1] S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach. Pearson, 2020. [2] F. Chollet, Deep Learning with Python. Manning Publications, 2018. [3] C. C. Aggarwal, Data Mining: The Textbook. Springer, 2015. [4] J. Dean and S. Ghemawat, "MapReduce: Simplified Data Processing on Large Clusters," Communications of the ACM, vol. 51, no. 1, pp. 107-113, 2008. [5] Apache Software Foundation, "Apache... - Source: dev.to / 3 months ago

• Automating Enhanced Due Diligence in Regulated Applications

  If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline. - Source: dev.to / 4 months ago