Pyspark
See every discussion that mentions Pyspark
Brand Details
Type: Product
Description: PySpark is an open-source application programming interface (API) that allows Python programmers to interact with Apache Spark. Apache Spark is a powerful, widely used framework for large-scale data processing and machine learning. PySpark bridges the gap, letting users leverage Spark's capabilities using Python. It enables large-scale data processing, real-time data processing (Spark Streaming), machine learning (MLlib), structured data processing (Spark SQL and DataFrames), and integration with other tools like Jupyter Notebooks and Pandas.
Website: https://spark.apache.org/
Mention Analytics
Total Mentions: 13
Subreddit Mentions:
Positive Mentions: 10
Negative Mentions: 0
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💬 162 comments
⬆︎ 601 upvotes
Mentioned in context of an interview
Found in /r/SQL/Apr 14, 2025
Composable SQL
💬 8 comments
⬆︎ 12 upvotes
Discusses the benefits of the language for certain tasks.
Found in /r/SQL/Apr 5, 2025
What is your current tech stack?
💬 10 comments
⬆︎ 0 upvotes
Mentioned as part of the tech stack.
Found in /r/SQL/Mar 26, 2025
SQL interview prep
💬 18 comments
⬆︎ 36 upvotes
User mentions the need to be familiar with this brand
Found in /r/SQL/Mar 13, 2025
Pyspark like interface to postgres
💬 3 comments
⬆︎ 1 upvotes
The author states they have been using pyspark for 6 years and have grown accustomed to its interface and likes the select, col, groupBy, etc.
Found in /r/SQL/Dec 12, 2024
Arguments against colleagues that say that SQL could be ‘terminated’
💬 67 comments
⬆︎ 32 upvotes
Pyspark is mentioned as a tool used by modern data engineers, but not in a comparative context with SQL.
Found in /r/SQL/Nov 26, 2024
Alternatives to SQL? Are there even any?
💬 50 comments
⬆︎ 6 upvotes
It is mentioned as an alternative to SQL.
Found in /r/SQL/Jun 30, 2024
Much faster to COPY big datasets and manipulate in SQL vs using Pandas first
💬 22 comments
⬆︎ 48 upvotes
A commenter suggested Pyspark or NumPy as alternatives, but didn't provide enough information to determine if they would be faster.
Found in /r/SQL/Jul 17, 2022
10 + Years of T-SQL time to learn Python?
💬 57 comments
⬆︎ 84 upvotes
Mentioned positively in the context of Python for data analysis and ETL processes inside of Synapse Analytics or Databricks.
Found in /r/SQL/Feb 18, 2022
Is SQL still has viable as it was several years ago?
💬 84 comments
⬆︎ 64 upvotes
Mentioned as a data analytics tool
Found in /r/SQL/Subscribe to our newsletter!
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