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Apache Pig VS Stonebranch

Compare Apache Pig VS Stonebranch and see what are their differences

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Apache Pig logo Apache Pig

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

Stonebranch logo Stonebranch

Stonebranch builds IT orchestration and automation solutions that transform business IT environments from simple IT task automation into sophisticated, real-time business service automation.
  • Apache Pig Landing page
    Landing page //
    2021-12-31
  • Stonebranch Landing Page as of 10-30-24
    Landing Page as of 10-30-24 //
    2024-10-30
  • Stonebranch Drag-and-Drop Workflow
    Drag-and-Drop Workflow //
    2024-01-22
  • Stonebranch Integrated Dashboard
    Integrated Dashboard //
    2024-01-22

No matter the degree of automation, the Stonebranch platform is simple, modern, and secure. Using the Stonebranch Universal Automation Center, enterprises can seamlessly orchestrate workloads and data across technology ecosystems and silos. Headquartered in Atlanta, Georgia, with points of contact and support across the globe Stonebranch serves some of the world's largest financial, manufacturing, healthcare, travel, transportation, energy, and technology institutions. Learn more: www.stonebranch.com

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.

Stonebranch features and specs

  • Workload Automation
    Job scheduling and Workload Automation capabilities that support on-prem, cloud and containerized microservices in a hybrid IT enviornment.
  • Data Pipeline Orchestration
    Simplify the management of your data pipeline with a centralized orchestration solution built to keep data moving—so that insights are delivered to the business without error.
  • Cloud Automation
    Centralize the management of automated workloads across private cloud, public cloud, and multi-cloud environment.
  • Managed File Transfer
    Move data between any type of cloud, on-prem or containerized system.
  • DevOps and DataOps Enabled
    Support dev, test, prod processes within the platorm, or by connecting to third party repositories like GitHub.
  • SaaS
    Deployment options include both SaaS and on-premises.

Apache Pig videos

+ Add

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

More videos:

  • Review - Simple Data Analysis with Apache Pig

Stonebranch videos

+ Add

Stonebranch's Service Orchestration and Automation Platform (SOAP)

More videos:

  • Review - About the Stonebranch Universal Automation Center Platform

Category Popularity

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

Apache Pig

Stonebranch

Data Dashboard
100 100%
Data Dashboard
0% 0
IT Automation
0 0%
IT Automation
100% 100
Database Tools
100 100%
Database Tools
0% 0
Workflow Automation
0 0%
Workflow Automation
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Pig and Stonebranch

Apache Pig Reviews

We have no reviews of Apache Pig yet.
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Stonebranch Reviews

Top 10 Control-M Alternatives in ’23
However, choosing a workload automation solution that fits your business goals and objectives in a complex market landscape can be challenging. For instance, Control-M is one of the WLA market leaders along with ActiveBatch, Redwood RunMyJobs, Stonebranch Universal Automation Center (UAC) and JAMS WLA according to AIMultiple’s analysis based on 7 different data sources.
Source: research.aimultiple.com
9 Control-M Alternatives & Competitors In 2023
Stonebranch helps organizations of any size scale and complexity scale up or down as needed. In addition to providing scalable IT automation, Stonebranch simplifies complex IT environments with its platform-agnostic, cloud-based architecture. Customers can benefit from a smoother transition to the cloud without sacrificing security, flexibility, or data security. Regardless...
Source: www.softwaretestingmaterial.com
The Top 5 BMC Control-M API Alternatives
With Stonebranch, organizations can centrally manage and automate complex business processes across on-premises, cloud, and hybrid environments. UAC is designed to simplify IT automation and make it more accessible to business users while still providing advanced features for IT operations teams.
Source: www.redwood.com

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.

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

Stonebranch mentions (0)

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

What are some alternatives?

When comparing Apache Pig and Stonebranch, 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.

ActiveBatch - Orchestrate the entire tech stack with ActiveBatch Workload Automation & Job Scheduling. Build and manage workflows from one place.

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.

Control-M - Control‑M simplifies and automates diverse batch application workloads while reducing failure rates, improving SLAs, and accelerating application deployment.

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

JAMS Scheduler - Enterprise workload automation software supporting processes on Windows, Linux, UNIX, iSeries, SAP, Oracle, SQL, ERPs and more.

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