Software Alternatives, Accelerators & Startups

Pyramid Analytics VS IBM ILOG CPLEX Optimization Studio

Compare Pyramid Analytics VS IBM ILOG CPLEX Optimization Studio and see what are their differences

Pyramid Analytics logo Pyramid Analytics

Pyramid brings data prep, business analytics, and data science together into one frictionless business and decision intelligence platform that helps you deliver timely and effective decision-making.

IBM ILOG CPLEX Optimization Studio logo IBM ILOG CPLEX Optimization Studio

IBM ILOG CPLEX Optimization Studio is an easy-to-use, affordable data analytics solution for businesses of all sizes who want to optimize their operations.
  • Pyramid Analytics Landing page
    Landing page //
    2024-09-04

Pyramid is an enterprise-grade Decision Intelligence Platform designed to seamlessly scale from individual self-service analytics to large-scale deployments. It supports a wide range of capabilities from basic data visualizations to advanced machine learning, catering to diverse user needs. The platform features a universal client for any device and operating system, facilitating installation on various platforms including on-premises and cloud environments, and interoperability with popular data stacks.

Pyramid emphasizes a balance between self-service productivity and governance, serving as an adaptive analytic platform that adjusts capabilities based on user skills. It manages content as a shared resource, supporting organizations throughout their decision workflows and bridging the gap between analytics strategy and implementation.

The Analytics OS includes six core modules (Model, Formulate, Discover, Illustrate, Present, and Publish) alongside administrative and content management tools, providing a comprehensive analytics experience across the workflow.

Pyramid Analytics, headquartered in Amsterdam with global offices, offers the Pyramid Decision Intelligence Platform. This AI-enhanced solution integrates data preparation, business analytics, and data science to simplify data-driven decision-making. It enables direct data operation without extraction, promoting self-service and governance while supporting complex BI needs.

The platform ensures rapid data-to-decision cycles with a no-code, AI-driven approach, supporting direct access to multiple data sources and environments. It facilitates interactive analysis, data visualization, and machine learning for predictive insights. Pyramid's platform is deployable across cloud, on-premises, or hybrid environments, empowering users with AI-guided workflows and natural language interfaces for intuitive analytics.

  • IBM ILOG CPLEX Optimization Studio Landing page
    Landing page //
    2023-09-03

Pyramid Analytics

$ Details
paid Free Trial
Platforms
MacOS Android Windows Android
Release Date
2016 January
Startup details
Country
Netherlands
Founder(s)
Omri Kohl, Avi Perez, Herbert Ochtman
Employees
100 - 249

Pyramid Analytics features and specs

  • Visualizations
    Create a wide variety of charts and graphs to effectively communicate data stories
  • Drill-Down & Slicing/Dicing
    Analyze data from different angles and uncover hidden patterns in real-time
  • Data Blending
    Combine data from various sources seamlessly for a holistic view
  • Interactive Dashboards
    Design dynamic dashboards to share insights and track key performance indicators (KPIs)
  • Pre-Built Connectors
    Connect to a wide range of data sources easily, including cloud applications and databases
  • Custom Connectors
    Build custom connectors for unique data sources for maximum flexibility
  • Data Security
    Ensure data protection with features like encryption, user authentication, and role-based access control (RBAC)
  • Natural Language Processing (NLP)
    Interact with data using natural language for more intuitive analysis
  • Embedded Analytics
    Embed reports and visualizations into internal applications for seamless data access
  • White-Labeling
    Customize the platform's look and feel to match your brand. Scalability: Supports large and complex datasets for enterprise-level needs
  • AI-Powered Insights
    Get automated data insights and recommendations to uncover hidden patterns and accelerate decision-making

IBM ILOG CPLEX Optimization Studio features and specs

  • Robust Solver
    IBM ILOG CPLEX Optimization Studio offers powerful solvers for linear programming, mixed-integer programming, and constraint programming, providing efficiency and speed for solving complex optimization problems.
  • Industry-Leading Performance
    CPLEX is known for its high performance in solving large-scale industrial problems quickly due to advanced algorithms and continuous updates, making it a top choice for enterprises.
  • Wide Applicability
    The studio supports various optimization problems across industries such as transportation, supply chain, finance, and manufacturing, providing versatility for diverse applications.
  • Advanced Features
    It includes features like conflict and infeasibility analysis, tuning tools, and parallel optimization, assisting users in diagnosing and improving their models.
  • Comprehensive Documentation and Support
    Extensive documentation, user guides, and customer support resources assist users in effectively utilizing the software and resolving potential issues.
  • Integration Capabilities
    CPLEX can be integrated with other IBM products and various programming languages, offering flexibility for system implementation and enhancement.

Possible disadvantages of IBM ILOG CPLEX Optimization Studio

  • High Cost
    The licensing fees for IBM ILOG CPLEX Optimization Studio can be expensive, potentially limiting access for smaller organizations or individual users.
  • Complexity for Beginners
    New users might find the complexity of the tool and its advanced features overwhelming, with a steep learning curve for those unfamiliar with optimization techniques.
  • Hardware Requirements
    As a high-performance tool, CPLEX may require significant computational resources and hardware capabilities to handle large-scale problems effectively.
  • Limited Open Source Community
    Unlike some open-source optimization tools, CPLEX has a smaller community for free support and problem-solving, which can limit the sharing of resources and collaboration for solving specific challenges.
  • Proprietary Software Limitations
    Being proprietary, users are dependent on IBM for updates and support, and may face limitations in customization compared to open-source solutions.

Analysis of Pyramid Analytics

Overall verdict

  • Pyramid Analytics is a strong contender in the BI and analytics market, particularly for organizations looking for a comprehensive, scalable, and user-friendly solution. While it may not always be the best fit for small businesses with simpler analytics needs, it excels in larger, data-driven environments where its advanced features can be fully utilized.

Why this product is good

  • Pyramid Analytics is considered a good business intelligence and analytics platform because it offers robust data modeling, reporting, and visualization capabilities. It is designed to be user-friendly while providing advanced analytics features, such as machine learning integration, that cater to both business users and data experts. Additionally, its flexibility in connecting with various data sources and its ability to deploy on-premises, in the cloud, or in a hybrid environment make it a versatile choice for different organizational needs.

Recommended for

  • Medium to large enterprises with complex data analytics needs
  • Organizations seeking integration capabilities with multiple data sources
  • Companies looking for a flexible deployment model (on-premises, cloud, hybrid)
  • Businesses that require advanced analytics, including machine learning and AI capabilities
  • Teams that want a balance between ease of use for business users and powerful features for data experts

Pyramid Analytics videos

Data Science & AI Overview

More videos:

  • Demo - Business Analytics Overview
  • Demo - Data Preparation Overview
  • Demo - The Decision Intelligence Platform Overview

IBM ILOG CPLEX Optimization Studio videos

Download & Install IBM ILOG CPlex Optimization Studio (in English)

Category Popularity

0-100% (relative to Pyramid Analytics and IBM ILOG CPLEX Optimization Studio)
Data Dashboard
92 92%
8% 8
Business & Commerce
68 68%
32% 32
Development
42 42%
58% 58
Business Intelligence
100 100%
0% 0

Questions and Answers

As answered by people managing Pyramid Analytics and IBM ILOG CPLEX Optimization Studio.

Who are some of the biggest customers of your product?

Pyramid Analytics's answer

Hallmark Empyrean Premier Foods

What makes your product unique?

Pyramid Analytics's answer

Pyramid Analytics is unique due to its unified platform combining data preparation, business analytics, and data science with AI-driven self-service. It offers scalability, performance, strong governance, and a user-friendly experience.

Why should a person choose your product over its competitors?

Pyramid Analytics's answer

Pyramid Analytics stands out with its unified platform, AI-driven insights, and ability to handle complex data, empowering users of all skill levels to make informed decisions faster than with other tools.

How would you describe your primary audience?

Pyramid Analytics's answer

Pyramid Analytics targets data-driven organizations seeking a comprehensive, user-friendly platform to unlock insights from complex data, empowering both business users and data analysts to collaborate effectively.

What's the story behind your product?

Pyramid Analytics's answer

Pyramid Analytics emerged from a need for a more intuitive and powerful business intelligence solution. It was founded on the principle of democratizing data, enabling organizations to harness the full potential of their data through a unified, AI-driven platform.

Which are the primary technologies used for building your product?

Pyramid Analytics's answer

Pyramid Analytics is built on a robust technology stack including:

  • Core: C#, .NET, JavaScript
  • Data Engine: In-memory OLAP, SQL, MDX
  • AI and Machine Learning: Python, R, TensorFlow, PyTorch
  • Cloud Infrastructure: AWS, Azure, GCP
  • Frontend: HTML5, CSS3, React

User comments

Share your experience with using Pyramid Analytics and IBM ILOG CPLEX Optimization Studio. For example, how are they different and which one is better?
Log in or Post with

What are some alternatives?

When comparing Pyramid Analytics and IBM ILOG CPLEX Optimization Studio, you can also consider the following products

QlikSense - A business discovery platform that delivers self-service business intelligence capabilities

Tibco Data Science - Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

Owler - Owler is a crowdsourced data model allowing users to follow, track, and research companies.

RapidMiner Studio - Visual workflow designer for predictive analytics that brings data science and machine learning to everyone on the analytics team

Whatagraph - Whatagraph is the most visual multi-source marketing reporting platform. Built in collaboration with digital marketing agencies

Composable Analytics - Composable Analytics is an enterprise-grade analytics ecosystem built for business users that want to architect data intelligence solutions that leverage disparate data sources and event data.