# Top 10 Apache Pig Alternatives & Competitors **Average Rating:** 3.9/5 **Total Number of Reviews:** 21 Research alternative solutions to Apache Pig on G2, with real user reviews on competing tools. Big Data Analytics Software is a widely used technology, and many people are seeking user friendly, easy to use software solutions with notebooks, embedded analytics, and spark integration. Other important factors to consider when researching alternatives to Apache Pig include reliability and ease of use. The best overall Apache Pig alternative is Splunk Enterprise. Other similar apps like Apache Pig are Snowflake, Google Cloud BigQuery, Alteryx, and MATLAB. Apache Pig alternatives can be found in [Big Data Analytics Software](https://www.g2.com/categories/big-data-analytics) but may also be in [Data Warehouse Solutions](https://www.g2.com/categories/data-warehouse) or [Enterprise Monitoring Software](https://www.g2.com/categories/enterprise-monitoring). ## Best Paid & Free Alternatives to Apache Pig - [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - [MATLAB](https://www.g2.com/products/matlab/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) - [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) - [Qubole](https://www.g2.com/products/qubole/reviews) - [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) ## Top 10 Alternatives to Apache Pig Recently Reviewed By G2 Community Browse options below. Based on reviewer data, you can see how Apache Pig stacks up to the competition, check reviews from current & previous users in industries like Internet, Marketing and Advertising, and Higher Education, and find the best product for your business. ### 1. [Splunk Enterprise](https://www.g2.com/products/splunk-enterprise/reviews) By Cisco **Average Rating:** 4.3/5 **Total Reviews:** 433 Splunk is a software platform for machine data that enables customers to gain real-time Operational Intelligence. Reviewers say compared to Apache Pig, Splunk Enterprise is: - More expensive - Better at support - Better at meeting requirements Categories in common with Apache Pig: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [Apache Pig vs Splunk Enterprise](https://www.g2.com/compare/apache-pig-vs-splunk-enterprise) **Compare Splunk Enterprise with other alternatives:** - [Splunk Enterprise vs Snowflake](https://www.g2.com/compare/snowflake-vs-splunk-enterprise) - [Splunk Enterprise vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-splunk-enterprise) - [Splunk Enterprise vs Alteryx](https://www.g2.com/compare/alteryx-vs-splunk-enterprise) - [Splunk Enterprise vs MATLAB](https://www.g2.com/compare/matlab-vs-splunk-enterprise) - [Splunk Enterprise vs Databricks](https://www.g2.com/compare/databricks-vs-splunk-enterprise) - [Splunk Enterprise vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/splunk-enterprise-vs-teradata-autonomous-knowledge-platform) - [Splunk Enterprise vs Kyvos Semantic Layer](https://www.g2.com/compare/kyvos-semantic-layer-vs-splunk-enterprise) - [Splunk Enterprise vs Qubole](https://www.g2.com/compare/qubole-vs-splunk-enterprise) - [Splunk Enterprise vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-splunk-enterprise) ### 2. [Snowflake](https://www.g2.com/products/snowflake/reviews) By Snowflake, Inc. **Average Rating:** 4.5/5 **Total Reviews:** 756 Snowflake’s platform eliminates data silos and simplifies architectures, so organizations can get more value from their data. The platform is designed as a single, unified product with automations that reduce complexity and help ensure everything “just works”. To support a wide range of workloads, it’s optimized for performance at scale no matter whether someone’s working with SQL, Python, or other languages. And it’s globally connected so organizations can securely access the most relevant content across clouds and regions, with one consistent experience. Reviewers say compared to Apache Pig, Snowflake is: - More expensive - Better at support - More usable Categories in common with Apache Pig: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [Apache Pig vs Snowflake](https://www.g2.com/compare/apache-pig-vs-snowflake) **Compare Snowflake with other alternatives:** - [Snowflake vs Splunk Enterprise](https://www.g2.com/compare/snowflake-vs-splunk-enterprise) - [Snowflake vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake) - [Snowflake vs Alteryx](https://www.g2.com/compare/alteryx-vs-snowflake) - [Snowflake vs MATLAB](https://www.g2.com/compare/matlab-vs-snowflake) - [Snowflake vs Databricks](https://www.g2.com/compare/databricks-vs-snowflake) - [Snowflake vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform) - [Snowflake vs Kyvos Semantic Layer](https://www.g2.com/compare/kyvos-semantic-layer-vs-snowflake) - [Snowflake vs Qubole](https://www.g2.com/compare/qubole-vs-snowflake) - [Snowflake vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-snowflake) ### 3. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) By Google **Average Rating:** 4.5/5 **Total Reviews:** 1,226 Analyze Big Data in the cloud with BigQuery. Run fast, SQL-like queries against multi-terabyte datasets in seconds. Scalable and easy to use, BigQuery gives you real-time insights about your data. Reviewers say compared to Apache Pig, Google Cloud BigQuery is: - More expensive - Better at support - More usable Categories in common with Apache Pig: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [Apache Pig vs Google Cloud BigQuery](https://www.g2.com/compare/apache-pig-vs-google-cloud-bigquery) **Compare Google Cloud BigQuery with other alternatives:** - [Google Cloud BigQuery vs Splunk Enterprise](https://www.g2.com/compare/google-cloud-bigquery-vs-splunk-enterprise) - [Google Cloud BigQuery vs Snowflake](https://www.g2.com/compare/google-cloud-bigquery-vs-snowflake) - [Google Cloud BigQuery vs Alteryx](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs MATLAB](https://www.g2.com/compare/google-cloud-bigquery-vs-matlab) - [Google Cloud BigQuery vs Databricks](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery) - [Google Cloud BigQuery vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform) - [Google Cloud BigQuery vs Kyvos Semantic Layer](https://www.g2.com/compare/google-cloud-bigquery-vs-kyvos-semantic-layer) - [Google Cloud BigQuery vs Qubole](https://www.g2.com/compare/google-cloud-bigquery-vs-qubole) - [Google Cloud BigQuery vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-google-cloud-bigquery) ### 4. [Alteryx](https://www.g2.com/products/alteryx/reviews) By Alteryx **Average Rating:** 4.6/5 **Total Reviews:** 840 Alteryx drives transformational business outcomes through unified analytics, data science, and process automation. Reviewers say compared to Apache Pig, Alteryx is: - More expensive - Better at support - More usable Categories in common with Apache Pig: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [Apache Pig vs Alteryx](https://www.g2.com/compare/alteryx-vs-apache-pig) **Compare Alteryx with other alternatives:** - [Alteryx vs Splunk Enterprise](https://www.g2.com/compare/alteryx-vs-splunk-enterprise) - [Alteryx vs Snowflake](https://www.g2.com/compare/alteryx-vs-snowflake) - [Alteryx vs Google Cloud BigQuery](https://www.g2.com/compare/alteryx-vs-google-cloud-bigquery) - [Alteryx vs MATLAB](https://www.g2.com/compare/alteryx-vs-matlab) - [Alteryx vs Databricks](https://www.g2.com/compare/alteryx-vs-databricks) - [Alteryx vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/alteryx-vs-teradata-autonomous-knowledge-platform) - [Alteryx vs Kyvos Semantic Layer](https://www.g2.com/compare/alteryx-vs-kyvos-semantic-layer) - [Alteryx vs Qubole](https://www.g2.com/compare/alteryx-vs-qubole) - [Alteryx vs Azure Databricks](https://www.g2.com/compare/alteryx-vs-azure-databricks) ### 5. [MATLAB](https://www.g2.com/products/matlab/reviews) By MathWorks **Average Rating:** 4.5/5 **Total Reviews:** 770 MATLAB is a high-level programming and numeric computing environment widely utilized by engineers and scientists for data analysis, algorithm development, and system modeling. It offers a desktop environment optimized for iterative analysis and design processes, coupled with a programming language that directly expresses matrix and array mathematics. The Live Editor feature enables users to create scripts that integrate code, output, and formatted text within an executable notebook. Key Features and Functionality: - Data Analysis: Tools for exploring, modeling, and analyzing data. - Graphics: Functions for visualizing and exploring data through various plots and charts. - Programming: Capabilities to create scripts, functions, and classes for customized workflows. - App Building: Facilities to develop desktop and web applications. - External Language Interfaces: Integration with languages such as Python, C/C++, Fortran, and Java. - Hardware Connectivity: Support for connecting MATLAB to various hardware platforms. - Parallel Computing: Ability to perform large-scale computations and parallelize simulations using multicore desktops, GPUs, clusters, and cloud resources. - Deployment: Options to share MATLAB programs and deploy them to enterprise applications, embedded devices, and cloud environments. Primary Value and User Solutions: MATLAB streamlines complex mathematical computations and data analysis tasks, enabling users to develop algorithms and models efficiently. Its comprehensive toolboxes and interactive apps facilitate rapid prototyping and iterative design, reducing development time. The platform's scalability allows for seamless transition from research to production, supporting deployment on various systems without extensive code modifications. By integrating with multiple programming languages and hardware platforms, MATLAB provides a versatile environment that addresses the diverse needs of engineers and scientists across industries. Reviewers say compared to Apache Pig, MATLAB is: - More expensive - Better at support - Better at meeting requirements Categories in common with Apache Pig: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [Apache Pig vs MATLAB](https://www.g2.com/compare/apache-pig-vs-matlab) **Compare MATLAB with other alternatives:** - [MATLAB vs Splunk Enterprise](https://www.g2.com/compare/matlab-vs-splunk-enterprise) - [MATLAB vs Snowflake](https://www.g2.com/compare/matlab-vs-snowflake) - [MATLAB vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-matlab) - [MATLAB vs Alteryx](https://www.g2.com/compare/alteryx-vs-matlab) - [MATLAB vs Databricks](https://www.g2.com/compare/databricks-vs-matlab) - [MATLAB vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/matlab-vs-teradata-autonomous-knowledge-platform) - [MATLAB vs Kyvos Semantic Layer](https://www.g2.com/compare/kyvos-semantic-layer-vs-matlab) - [MATLAB vs Qubole](https://www.g2.com/compare/matlab-vs-qubole) - [MATLAB vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-matlab) ### 6. [Databricks](https://www.g2.com/products/databricks/reviews) By Databricks Inc. **Average Rating:** 4.6/5 **Total Reviews:** 1,335 Making big data simple Reviewers say compared to Apache Pig, Databricks is: - More expensive - Better at support - Better at meeting requirements Categories in common with Apache Pig: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [Apache Pig vs Databricks](https://www.g2.com/compare/apache-pig-vs-databricks) **Compare Databricks with other alternatives:** - [Databricks vs Splunk Enterprise](https://www.g2.com/compare/databricks-vs-splunk-enterprise) - [Databricks vs Snowflake](https://www.g2.com/compare/databricks-vs-snowflake) - [Databricks vs Google Cloud BigQuery](https://www.g2.com/compare/databricks-vs-google-cloud-bigquery) - [Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-databricks) - [Databricks vs MATLAB](https://www.g2.com/compare/databricks-vs-matlab) - [Databricks vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/databricks-vs-teradata-autonomous-knowledge-platform) - [Databricks vs Kyvos Semantic Layer](https://www.g2.com/compare/databricks-vs-kyvos-semantic-layer) - [Databricks vs Qubole](https://www.g2.com/compare/databricks-vs-qubole) - [Databricks vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-databricks) ### 7. [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) By Teradata Autonomous Knowledge Platform **Average Rating:** 4.3/5 **Total Reviews:** 375 Teradata Autonomous Knowledge Platform easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment. Reviewers say compared to Apache Pig, Teradata Autonomous Knowledge Platform is: - More expensive - Better at support - Better at meeting requirements Categories in common with Apache Pig: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [Apache Pig vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/apache-pig-vs-teradata-autonomous-knowledge-platform) **Compare Teradata Autonomous Knowledge Platform with other alternatives:** - [Teradata Autonomous Knowledge Platform vs Splunk Enterprise](https://www.g2.com/compare/splunk-enterprise-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Snowflake](https://www.g2.com/compare/snowflake-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Alteryx](https://www.g2.com/compare/alteryx-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs MATLAB](https://www.g2.com/compare/matlab-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Databricks](https://www.g2.com/compare/databricks-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Kyvos Semantic Layer](https://www.g2.com/compare/kyvos-semantic-layer-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Qubole](https://www.g2.com/compare/qubole-vs-teradata-autonomous-knowledge-platform) - [Teradata Autonomous Knowledge Platform vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-teradata-autonomous-knowledge-platform) ### 8. [Kyvos Semantic Layer](https://www.g2.com/products/kyvos-semantic-layer/reviews) By Kyvos Insights **Average Rating:** 4.8/5 **Total Reviews:** 284 Kyvos is a semantic layer for AI and BI. It gives enterprises a single, consistent, business-friendly view of their data for trusted AI and BI — eliminating metric drift across BI tools, and grounding AI in governed semantic context for higher accuracy. Kyvos delivers lightning-fast analytics at massive scale and high concurrency, including high-grain multidimensional analytics on the cloud, while reducing cloud spend. Reviewers say compared to Apache Pig, Kyvos Semantic Layer is: - Better at support - More usable - Easier to set up Categories in common with Apache Pig: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [Apache Pig vs Kyvos Semantic Layer](https://www.g2.com/compare/apache-pig-vs-kyvos-semantic-layer) **Compare Kyvos Semantic Layer with other alternatives:** - [Kyvos Semantic Layer vs Splunk Enterprise](https://www.g2.com/compare/kyvos-semantic-layer-vs-splunk-enterprise) - [Kyvos Semantic Layer vs Snowflake](https://www.g2.com/compare/kyvos-semantic-layer-vs-snowflake) - [Kyvos Semantic Layer vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-kyvos-semantic-layer) - [Kyvos Semantic Layer vs Alteryx](https://www.g2.com/compare/alteryx-vs-kyvos-semantic-layer) - [Kyvos Semantic Layer vs MATLAB](https://www.g2.com/compare/kyvos-semantic-layer-vs-matlab) - [Kyvos Semantic Layer vs Databricks](https://www.g2.com/compare/databricks-vs-kyvos-semantic-layer) - [Kyvos Semantic Layer vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/kyvos-semantic-layer-vs-teradata-autonomous-knowledge-platform) - [Kyvos Semantic Layer vs Qubole](https://www.g2.com/compare/kyvos-semantic-layer-vs-qubole) - [Kyvos Semantic Layer vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-kyvos-semantic-layer) ### 9. [Qubole](https://www.g2.com/products/qubole/reviews) By Qubole **Average Rating:** 4.0/5 **Total Reviews:** 259 Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds Reviewers say compared to Apache Pig, Qubole is: - More expensive - Better at support - Better at meeting requirements Categories in common with Apache Pig: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [Apache Pig vs Qubole](https://www.g2.com/compare/apache-pig-vs-qubole) **Compare Qubole with other alternatives:** - [Qubole vs Splunk Enterprise](https://www.g2.com/compare/qubole-vs-splunk-enterprise) - [Qubole vs Snowflake](https://www.g2.com/compare/qubole-vs-snowflake) - [Qubole vs Google Cloud BigQuery](https://www.g2.com/compare/google-cloud-bigquery-vs-qubole) - [Qubole vs Alteryx](https://www.g2.com/compare/alteryx-vs-qubole) - [Qubole vs MATLAB](https://www.g2.com/compare/matlab-vs-qubole) - [Qubole vs Databricks](https://www.g2.com/compare/databricks-vs-qubole) - [Qubole vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/qubole-vs-teradata-autonomous-knowledge-platform) - [Qubole vs Kyvos Semantic Layer](https://www.g2.com/compare/kyvos-semantic-layer-vs-qubole) - [Qubole vs Azure Databricks](https://www.g2.com/compare/azure-databricks-vs-qubole) ### 10. [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) By Microsoft **Average Rating:** 4.5/5 **Total Reviews:** 238 Azure Databricks is a unified, open analytics platform developed collaboratively by Microsoft and Databricks. Built on the lakehouse architecture, it seamlessly integrates data engineering, data science, and machine learning within the Azure ecosystem. This platform simplifies the development and deployment of data-driven applications by providing a collaborative workspace that supports multiple programming languages, including SQL, Python, R, and Scala. By leveraging Azure Databricks, organizations can efficiently process large-scale data, perform advanced analytics, and build AI solutions, all while benefiting from the scalability and security of Azure. Key Features and Functionality: - Lakehouse Architecture: Combines the best elements of data lakes and data warehouses, enabling unified data storage and analytics. - Collaborative Notebooks: Interactive workspaces that support multiple languages, facilitating teamwork among data engineers, data scientists, and analysts. - Optimized Apache Spark Engine: Enhances performance for big data processing tasks, ensuring faster and more reliable analytics. - Delta Lake Integration: Provides ACID transactions and scalable metadata handling, improving data reliability and consistency. - Seamless Azure Integration: Offers native connectivity to Azure services like Power BI, Azure Data Lake Storage, and Azure Synapse Analytics, streamlining data workflows. - Advanced Machine Learning Support: Includes pre-configured environments for machine learning and AI development, with support for popular frameworks and libraries. Primary Value and Solutions Provided: Azure Databricks addresses the challenges of managing and analyzing vast amounts of data by offering a scalable and collaborative platform that unifies data engineering, data science, and machine learning. It simplifies complex data workflows, accelerates time-to-insight, and enables the development of AI-driven solutions. By integrating seamlessly with Azure services, it ensures secure and efficient data processing, helping organizations make data-driven decisions and innovate rapidly. Reviewers say compared to Apache Pig, Azure Databricks is: - More expensive - Better at support - Better at meeting requirements Categories in common with Apache Pig: [Big Data Analytics](https://www.g2.com/categories/big-data-analytics) **Compare:** [Apache Pig vs Azure Databricks](https://www.g2.com/compare/apache-pig-vs-azure-databricks) **Compare Azure Databricks with other alternatives:** - [Azure Databricks vs Splunk Enterprise](https://www.g2.com/compare/azure-databricks-vs-splunk-enterprise) - [Azure Databricks vs Snowflake](https://www.g2.com/compare/azure-databricks-vs-snowflake) - [Azure Databricks vs Google Cloud BigQuery](https://www.g2.com/compare/azure-databricks-vs-google-cloud-bigquery) - [Azure Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-azure-databricks) - [Azure Databricks vs MATLAB](https://www.g2.com/compare/azure-databricks-vs-matlab) - [Azure Databricks vs Databricks](https://www.g2.com/compare/azure-databricks-vs-databricks) - [Azure Databricks vs Teradata Autonomous Knowledge Platform](https://www.g2.com/compare/azure-databricks-vs-teradata-autonomous-knowledge-platform) - [Azure Databricks vs Kyvos Semantic Layer](https://www.g2.com/compare/azure-databricks-vs-kyvos-semantic-layer) - [Azure Databricks vs Qubole](https://www.g2.com/compare/azure-databricks-vs-qubole) ## Explore Articles - [Top-rated asset tracking solutions with barcode/RFID support](https://www.g2.com/discussions/top-rated-asset-tracking-solutions-with-barcode-rfid-support) - [What is the most affordable remote desktop software for SMBs?](https://www.g2.com/discussions/what-is-the-most-affordable-remote-desktop-software-for-smbs) - [Recommended live chat platforms for SaaS businesses](https://www.g2.com/discussions/recommended-live-chat-platforms-for-saas-businesses-what-delivers-the-best-support-experience) - [Which enterprise mobility management solutions offer zero-touch enrollment and automated device provisioning while meeting compliance requirements?](https://www.g2.com/discussions/which-enterprise-mobility-management-solutions-offer-zero-touch-enrollment-and-automated-device-provisioning-while-meeting-compliance-requirements) - [Where to find the best sales enablement tool](https://www.g2.com/discussions/where-to-find-the-best-sales-enablement-tool) - [Which is the best AI chatbot platform for customer engagement?](https://www.g2.com/discussions/which-is-the-best-ai-chatbot-platform-for-customer-engagement) ## Spotlight Categories - [Corporate Learning Management Systems](https://www.g2.com/categories/corporate-learning-management-systems) - [Sales Training and Onboarding Software](https://www.g2.com/categories/sales-training-and-onboarding) - [Environmental Health and Safety Software](https://www.g2.com/categories/environmental-health-and-safety)