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Tigera VS Apache Pig

Compare Tigera VS Apache Pig and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Tigera logo Tigera

Tigera delivers the essential Kubernetes components that allow you to connect, control and secure your cloud native apps.

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.
  • Tigera Landing page
    Landing page //
    2023-10-21
  • Apache Pig Landing page
    Landing page //
    2021-12-31

Tigera videos

No Tigera videos yet. You could help us improve this page by suggesting one.

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Apache Pig videos

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

More videos:

  • Review - Simple Data Analysis with Apache Pig

Category Popularity

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

Tigera

Apache Pig

Developer Tools
100 100%
Developer Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Containers As A Service
100 100%
Containers As A Service
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using Tigera 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.

Tigera mentions (0)

We have not tracked any mentions of Tigera yet. Tracking of Tigera recommendations started around Mar 2021.

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 Tigera and Apache Pig, you can also consider the following products

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

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.

Apache Mesos - Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.

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 Ambari - Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.

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

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