Software Alternatives, Accelerators & Startups

Apache Pig VS Google Site Reliability Engineering

Compare Apache Pig VS Google Site Reliability Engineering and see what are their differences

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.

Google Site Reliability Engineering logo Google Site Reliability Engineering

How Google runs production systems
  • Apache Pig Landing page
    Landing page //
    2021-12-31
  • Google Site Reliability Engineering Landing page
    Landing page //
    2023-09-14

Apache Pig videos

Pig Tutorial | Apache Pig Script | Hadoop Pig Tutorial | Edureka

More videos:

  • Review - Simple Data Analysis with Apache Pig

Google Site Reliability Engineering videos

No Google Site Reliability Engineering videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Apache Pig and Google Site Reliability Engineering)
Data Dashboard
100 100%
0% 0
Developer Tools
0 0%
100% 100
Database Tools
100 100%
0% 0
DevOps Tools
0 0%
100% 100

User comments

Share your experience with using Apache Pig and Google Site Reliability Engineering. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Google Site Reliability Engineering seems to be a lot more popular than Apache Pig. While we know about 84 links to Google Site Reliability Engineering, we've tracked only 2 mentions of Apache Pig. 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.

Apache Pig mentions (2)

  • In One Minute : Hadoop
    Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 1 year ago
  • Spark is lit once again
    In the early days of the Big Data era when K8s hasn't even been born yet, the common open source go-to solution was the Hadoop stack. We have written several old-fashioned Map-Reduce jobs, scripts using Pig until we came across Spark. Since then Spark has became one of the most popular data processing engines. It is very easy to start using Lighter on YARN deployments. Just run a docker with proper configuration... - Source: dev.to / over 2 years ago

Google Site Reliability Engineering mentions (84)

  • Ask HN: What makes SRE great compared to "plain" DevOps?
    In my view it is having a dedicated team focusing their full mental bandwidth on pro-actively understanding and managing robustness of the system. In Pure DevOps, it seems to me developers often don't have the full picture of the system, and not enough bandwidth to foresee complex interactions from their changes. These are from my experiences spending one year as a developer in somewhat large a greenfield... - Source: Hacker News / 7 months ago
  • How Site Reliability Engineering Is Different From DevOps
    Site Reliability Engineering, introduced by Google, extends the principles of software engineering to operations. Unlike DevOps, SRE places a stronger emphasis on reliability, availability, and scalability. SRE teams are tasked with maintaining the health and performance of systems by applying engineering practices to operations. The ultimate objective is to achieve a balance between service reliability and... Source: 9 months ago
  • API Product Managers, what's your workflow when designing and maintaining an API?
    Define SLOs for availability and latency. Google's SRE book is good reading for this. Source: 12 months ago
  • Starting an SRE position soon. No prior experience (except IT). Any suggestions? Sorry if it's too general.
    Have you gone through the SRE Books? Source: 12 months ago
  • Starting up with sre
    Google SRE books is always a good read. Source: about 1 year ago
View more

What are some alternatives?

When comparing Apache Pig and Google Site Reliability Engineering, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Ganeti - Ganeti is a cluster management tool built on top of existing virtualization technologies.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Apache Helix - A cluster management framework for partitioned and replicated distributed resources

Presto DB - Distributed SQL Query Engine for Big Data (by Facebook)

Linux Foundation Training - Linux Foundation Training is a complete web-based platform that offers you advanced-level and updated courses and tutorials to learn the developing and programming skills.