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Apache Pig VS SQLite

Compare Apache Pig VS SQLite and see what are their differences

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  3. » Reviews
  4. » Alternatives

Apache Pig logo Apache Pig

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

SQLite logo SQLite

SQLite Home Page
  • Apache Pig Landing page
    Landing page //
    2021-12-31
  • SQLite Landing page
    Landing page //
    2023-10-21

Apache Pig features and specs

  • Simplicity
    Apache Pig provides a high-level scripting language called Pig Latin that is much easier to write and understand than complex MapReduce code, enabling faster development time.
  • Abstracts Hadoop Complexity
    Pig abstracts the complexity of Hadoop, allowing developers to focus on data processing rather than worrying about the intricacies of Hadoop’s underlying mechanisms.
  • Extensibility
    Pig allows user-defined functions (UDFs) to process various types of data, giving users the flexibility to extend its functionality according to their specific requirements.
  • Optimized Query Execution
    Pig includes a rich set of optimization techniques that automatically optimize the execution of scripts, thereby improving performance without needing manual tuning.
  • Error Handling and Debugging
    The platform has an extensive error handling mechanism and provides the ability to make debugging easier through logging and stack traces, making it simpler to troubleshoot issues.

Possible disadvantages of Apache Pig

  • Performance Limitations
    While Pig simplifies writing MapReduce operations, it may not always offer the same level of performance as hand-optimized, low-level MapReduce code.
  • Limited Real-Time Processing
    Pig is primarily designed for batch processing and may not be the best choice for real-time data processing requirements.
  • Steeper Learning Curve for SQL Users
    Developers who are already familiar with SQL might find Pig Latin to be less intuitive at first, resulting in a steeper learning curve for building complex data transformations.
  • Maintenance Overhead
    As Pig scripts grow in complexity and number, maintaining and managing these scripts can become challenging, particularly in large-scale production environments.
  • Growing Obsolescence
    With the rise of more versatile and performant Big Data tools like Apache Spark and Hive, Pig’s relevance and community support have been on the decline.

SQLite features and specs

  • Zero Configuration
    SQLite does not require any server setup or configuration, allowing for easy integration and deployment in applications.
  • Lightweight
    It is extremely lightweight, with a small footprint, making it ideal for embedded systems and mobile applications.
  • Self-Contained
    SQLite is self-contained, meaning it has minimal external dependencies, which simplifies its distribution and usage.
  • File-Based Storage
    Data is stored in a single file, which makes it easy to manage and transfer databases as simple files.
  • ACID Compliance
    SQLite supports Atomicity, Consistency, Isolation, and Durability (ACID) properties, ensuring reliable transactions.
  • Cross-Platform
    SQLite is available on numerous platforms, including Windows, MacOS, Linux, iOS, and Android, providing a broad compatibility range.
  • Public Domain
    SQLite operates under the public domain, allowing for unrestricted use in commercial and non-commercial applications.

Possible disadvantages of SQLite

  • Limited Scalability
    SQLite is not designed to handle high levels of concurrency and large-scale databases, making it less suitable for large, high-traffic applications.
  • Write Performance
    Write operations can be slower compared to server-based databases, especially under heavy write loads.
  • Lack of Certain Features
    SQLite lacks some advanced features offered by other RDBMS like stored procedures, user-defined functions, and full-text search indexing.
  • Security
    As SQLite is file-based, it might lack some of the security features present in server-based databases, such as sophisticated access control.
  • Concurrency
    SQLite uses a locking mechanism to control access to the database, which can lead to contention and performance bottlenecks in highly concurrent environments.
  • Backup and Restore
    While it's straightforward to copy SQLite database files, it lacks the advanced backup and restore features found in more complex RDBMS.

Apache Pig videos

+ Add

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

More videos:

  • Review - Simple Data Analysis with Apache Pig

SQLite videos

+ Add

SQLite | What, Why , Where

More videos:

  • Review - W20 PROG1442 3.3 UWP sqLite Review
  • Tutorial - How To Create SQLite Databases From Scratch For Beginners - Full Tutorial

Category Popularity

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

Apache Pig

SQLite

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

User comments

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Social recommendations and mentions

Based on our record, SQLite should be more popular than Apache Pig. It has been mentiond 18 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.

Apache Pig mentions (2)

  • In One Minute : Hadoop
    Pig, a platform/programming language for authoring parallelizable jobs. - Source: dev.to / over 2 years 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 3 years ago

SQLite mentions (18)

  • Can I have my Lightroom catalogue pointing at two sources...?
    Yes. A Lightroom catalog file is, after all, just a SQLite database. (Srsly, make a copy of your catalog file, rename it whatever.sqlite and use your favorite SQLite GUI to rip it open and look at the tables and fields). It's just storing the pathame to the RAW file for that file's record in the database. Source: almost 2 years ago
  • Building a database to search Excel files
    I use visidata with a playback script I recorded to open the sheet to a specific Excel tab, add a column, save the sheet as a csv file. Then I have a sqlite script that takes the csv file and puts it in a database, partitioned by monthYear. Source: about 2 years ago
  • Saw this on my friends Snapchat story, this hurts my heart
    Use the most-used database in the world: https://sqlite.org/index.html. Source: over 2 years ago
  • "Managing" a SQLite Database with J (Part 2)
    With this in mind, I wrote a few versions of this post, but I hated them all. Then I realized that jodliterate PDF documents mostly do what I want. So, instead of rewriting MirrorXref.pdf, I will make a few comments about jodliterate group documents in general. If you're interested in using SQLite with J, download the self-contained GitHub files MirrorXref.ijs and MirrorXref.pdf and have a look. - Source: dev.to / almost 3 years ago
  • "Managing" a SQLite Database with J (Part 1)
    SQLite, by many estimates, is the most widely deployed SQL database system on Earth. It's everywhere. It's in your phone, your laptop, your cameras, your car, your cloud, and your breakfast cereal. SQLite's global triumph is a gratifying testament to the virtues of technical excellence and the philosophy of "less is more.". - Source: dev.to / almost 3 years ago
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What are some alternatives?

When comparing Apache Pig and SQLite, 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.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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.

MySQL - The world's most popular open source database

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

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

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