Software Alternatives & Reviews
Register | Login

H2 Database Engine VS Apache Pig

Compare H2 Database Engine VS Apache Pig and see what are their differences

Hive
Seamless project management and collaboration for your team. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

H2 Database Engine logo H2 Database Engine

H2 is a relational database management system written in Java.

Apache Pig logo Apache Pig

Pig is a high-level platform for creating MapReduce programs used with Hadoop.
  • H2 Database Engine Landing page
    Landing page //
    2018-09-30
  • Apache Pig Landing page
    Landing page //
    2021-12-31

H2 Database Engine videos

No H2 Database Engine videos yet. You could help us improve this page by suggesting one.

+ Add video

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 H2 Database Engine and Apache Pig)

H2 Database Engine

Apache Pig

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

Share your experience with using H2 Database Engine and Apache Pig. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Apache Pig might be a bit more popular than H2 Database Engine. We know about 2 links to it since March 2021 and only 2 links to H2 Database Engine. 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.

H2 Database Engine mentions (2)

  • Help with databases
    Not sure of your use case, maybe you could use an embedded database (ie h2). Source: over 2 years ago
  • How to mock a database connection in Java?
    There are in-memory databases such as H2 which you can use for testing that is just a library you import. However, syntax can vary between databases. So it's only really appropriate if you're also using something like Hibernate which abstracts away a lot of the differences. Source: over 2 years ago

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 H2 Database Engine and Apache Pig, you can also consider the following products

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

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.

Amazon RDS - Easy to manage relational databases optimized for total cost of ownership.

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.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

Loading...