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QuickBI VS Apache Pig

Compare QuickBI VS Apache Pig and see what are their differences

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Embedded Analytics built exclusively for SaaS applications. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

QuickBI logo QuickBI

Export data from over 300 sources to a data warehouse and analyze it with a reporting tool of your choice. Quick and easy setup.

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.
Not present
  • Apache Pig Landing page
    Landing page //
    2021-12-31

QuickBI videos

+ Add

Analytics | QuickBI Common Chart Analysis

Apache Pig videos

+ Add

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

More videos:

  • Review - Simple Data Analysis with Apache Pig

Category Popularity

0-100% (relative to QuickBI and Apache Pig)

QuickBI

Apache Pig

Business Intelligence
100 100%
Business Intelligence
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Data Integration
100 100%
Data Integration
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using QuickBI and Apache Pig. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Pig seems to be more popular. It has been mentiond 2 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.

QuickBI mentions (0)

We have not tracked any mentions of QuickBI yet. Tracking of QuickBI recommendations started around Feb 2024.

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

What are some alternatives?

When comparing QuickBI and Apache Pig, you can also consider the following products

Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.

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.

Airbyte - Replicate data in minutes with prebuilt & custom connectors

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.

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

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

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