Top 10 MPP BI Alternatives & Competitors

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The Big Data Analytics Software solutions below are the most common alternatives that users and reviewers compare with MPP BI. Big Data Analytics Software is a widely used technology, and many people are seeking top rated, reliable software solutions with notebooks, embedded analytics, and governed discovery. Other important factors to consider when researching alternatives to MPP BI include ease of use and reliability. The best overall MPP BI alternative is Google Cloud BigQuery. Other similar apps like MPP BI are MATLAB, Snowflake, Alteryx, and Databricks Data Intelligence Platform. MPP BI alternatives can be found in Big Data Analytics Software but may also be in Data Warehouse Solutions or Data Science and Machine Learning Platforms.

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Best Paid & Free Alternatives to MPP BI

Google Cloud BigQuery
MATLAB
Snowflake
Alteryx
Databricks Data Intelligence Platform
Teradata Vantage
Qubole
Kyvos Semantic Layer

Top 10 Alternatives to MPP BI Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how MPP BI stacks up to the competition and find the best product for your business.

Google Cloud BigQuery

By Google

4.5/5

(1,203)

Product Description

Categories in common with MPP BI:

By MathWorks

Product Description

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.

Categories in common with MPP BI:

Product Description

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.

Categories in common with MPP BI:

Big Data Analytics

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Databricks Data Intelligence Platform

By Databricks Inc.

4.6/5

(657)

Product Description

Categories in common with MPP BI:

By Teradata

Product Description

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By Qubole

Product Description

Categories in common with MPP BI:

Product Description

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.

Categories in common with MPP BI:

By Microsoft

Product Description

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.

Categories in common with MPP BI:

Big Data Analytics