If you are considering Apache Pig, you may also want to investigate similar alternatives or competitors to find the best solution. Big Data Analytics Software is a widely used technology, and many people are seeking sophisticated, top rated software solutions with notebooks, embedded analytics, and governed discovery. Other important factors to consider when researching alternatives to Apache Pig include ease of use and reliability. The best overall Apache Pig alternative is Snowflake. Other similar apps like Apache Pig are Google Cloud BigQuery, MATLAB, Alteryx, and Databricks Data Intelligence Platform. Apache Pig alternatives can be found in Big Data Analytics Software but may also be in Data Warehouse Solutions or Data Science and Machine Learning Platforms.
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.
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.
MATLAB is a programming, modeling and simulation tool developed by MathWorks.
Making big data simple
The Teradata Database easily and efficiently handles complex data requirements and simplifies management of the data warehouse environment.
Qubole delivers a Self-Service Platform for Big Data Analytics built on Amazon, Microsoft and Google Clouds
Kyvos semantic intelligence layer powers and accelerates every AI and BI initiative. It enables lightning-fast analytics at massive scale on all BI tools and unmatched savings on any data platform. Kyvos’ semantic performance layer provides a fully functional conversational analytics experience, governed access to unified data and ultra-wide, deep data models. Leading enterprises trust Kyvos as a scalable, infrastructure-agnostic universal source for fast insights and AI-ready data access.
Accelerate innovation by enabling data science with a high-performance analytics platform that's optimized for Azure.
dbt is a transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.