Analytics automation refers to applying automated processes and technologies to perform various tasks within data analysis. It involves utilizing software and tools that streamline collecting, processing, analyzing, and visualizing data.

This approach aims to manage data to reduce manual efforts, enhance accuracy, and accelerate decision-making by automating repetitive tasks and complex calculations. It ultimately enables organizations to derive actionable insights from their data more efficiently.

Alteryx has emerged as one of the viable solutions in analytics automation, having powerful data integration, transformation, and visualization capabilities.

Its user-friendly interface and extensive library of pre-built tools enable users to create complex data workflows without widespread coding expertise.

However, Alteryx has specific issues reported by its users. These include its inability to deal with large datasets and intricate functionalities that present a steep learning curve for new users.

Therefore, we have examined various Alteryx competitors providing comparable automation functionality. We have considered choices that excel in simplicity, cost, and scalability.

In this article, we will highlight the top 7 Alteryx competitors, their strengths, pricing, and limitations, and provide an opinion on the best analytical automation software that stands out.

Comparison criteria for Alteryx competitors

When comparing different tools in the data analytics pipeline, several key points should be considered to identify the best solution for one's needs. Here’s a checklist that will aid you in your evaluation to make an informed decision:

• Platform type
• Industry-tailored simulation
• Built-in automated optimization
• Data processing and cleaning
• Data integration
• Collaboration
• Use cases

Top 7 Alteryx competitors for analytics automation

1. Basetwo

Leveraging Basetwo's platform, manufacturing teams and facilities can independently handle the modeling value chain, from data ingestion and processing to simulation, optimization, and version control, resulting in enhanced operational efficiency and cost savings in manufacturing and process development.

Basetwo's standout feature is its integration of physics-informed machine learning and hybrid modeling. It allows engineers to improve simulation accuracy, prediction, and speed while retaining a deep understanding of underlying process dynamics.

Features

• Easy data ingestion and cleaning from commonly used sources like OSI-PI
• User-friendly drag-and-drop interfaces for creating AI, mechanistic, or hybrid models
• Enable rigorous testing and validation of models for reliable deployment
• Built-in optimization and process control
• Empower teams to find optimal control points and conduct in-silico experiments

Pros

• User-friendly platform catering to both engineers and data scientists.
• Hybrid modeling capabilities combine multiple technologies, such as traditional machine learning and mechanistic models.
• Customizable model builder and ready-to-use templates that adapt to diverse requirements.
• Anomaly detection to ensure product quality and operational reliability.
• Low OEM dependence with a high degree of customization.
• The cloud-based solution can be deployed in an online environment for real-time optimization.

Cons

• Lack of features tailored for capacity modeling use cases.

Use cases

• Predictive maintenance for manufacturing equipment
• Real-time data access, monitoring, optimization, and advanced process control
• Flight schedule planning and optimization
• Virtual simulation of processes to support what-if analysis
• Measuring and monitoring operational efficiency
• Resource and energy usage optimization
• Quality control and inventory management

Target industries and customers

Designed with process engineers in mind, Basetwo caters to the specific needs of the manufacturing industry. The platform connects data science and engineering, promoting a collaborative atmosphere where expertise in both fields merges seamlessly.

Basetwo is the best option in analytics automation, offering digital twin technology, a user-friendly interface, and competitive pricing. Its reputation with engineers, particularly in the oil and gas, pharmaceutical, manufacturing, and energy industries, has grown exponentially since its inception. It has several notable Fortune 500 clients, such as:

• Johnson and Johnson
• SIG Group
• Merck
• Chiyoda
• Boeing

2. Seeq

Seeq provides a data analytics solution that excels in time-series data analysis, catering to industries relying significantly on such data. It empowers businesses to process, visualize, and derive actionable insights from large volumes of industrial data.

Features

• Time-series data aggregation and correlation
• Predictive analytics for industrial processes
• Advanced data visualization tools
• Provide a virtual environment that fosters collaborations between teams

Pros

• Simplified integration with multiple data sources
• Seeq can handle and visualize time series data well, reducing the need for coding
• Seeq is continually refining its software with new updates

Cons

• Primarily focused on industries with heavy time-series data
• The learning curve is steep for the advanced platform, especially for new users
• The platform can be considered costly and may be out of budget for small and medium-scale organizations, with a single site license costing around $192,000 USD per year
• Limited multi-physics support due to their primary focus on data analytics

Use cases

• Equipment failure prediction in manufacturing
• Energy consumption optimization in utilities
• Quality control in chemical processing
• Water and Wastewater analytics

Target industries and users

Seeq primarily targets industries that heavily rely on time-series data analysis; it focuses on manufacturing, chemical processing, pharmaceuticals, wastewater, and energy. The large customer base includes the following notables:

• Devon Energy
• Brown & Caldwell
• Nukon
• Genentech
• Duke Energy
• Covestro
• Lonzo

3. Dataiku

Dataiku is a comprehensive data science platform that covers the entire data lifecycle, making it an end-to-end solution for data preparation, modeling, and deployment.

Dataiku DSS is a user-friendly analytics automation platform with extensive capabilities, a collaborative environment, and versatility, attracting businesses seeking advanced analytics automation.

Features

• Data preparation and transformation
• Machine learning model building
• Collaboration features for team-based analysis
• Deployment of machine learning models

Pros

• A user-friendly and intuitive platform
• Supports multiple programming languages and machine learning frameworks
• It can handle large and complex datasets and prepare data for analysis, making it suitable for companies of all sizes
• Offering visual or code-based approaches creates flexibility based on user preferences

Cons

• Running Dataiku on less powerful hardware might result in performance issues and longer processing times
• The steep learning curve for beginners requires extensive training, which Dataiku provides for a price
• High OEM dependence in terms of customization
• Limited multi-physics support

Use cases

• Credit risk assessment in financial services
• Patient outcome prediction in healthcare
• Customer churn analysis in telecommunications

Target industries and customers

Dataiku focuses on fintech, logistics, retail, supply chain, transportation, and general business users but has limited manufacturing and process engineering use. The customer base involves the following notables:

• General Electric (GE)
• Sephora
• Unilever
• Schlumberger (SLB)
• BNP Paribas
• Ubisoft
• Paloalto
• Cisco

4. Aizon

Aizon is a biotech company that specializes in providing AI-powered data analytics platforms and solutions for the life science industry. The platform leverages advanced analytics, artificial intelligence, and data science to address challenges and opportunities within this sector.

Aizon's solutions are designed to enable data-driven decision-making, improve operational efficiency, enhance product quality, and ensure compliance with pharmaceutical industry regulations.

Features

• Real-time data monitoring and analytics
• Predictive analytics for quality control
• Supply chain optimization capabilities

Pros

• Industry-specific expertise and tailored solutions for the life sciences industry
• Real-time insights for quality control and process optimization
• The software is suitable for all organizational sizes

Cons

• Limited applicability outside of the life science industry
• The platform offers limited multi-physics support compared to similar companies
• Aizon is a general-purpose AI platform that offers no live simulation or optimization capabilities
• Significant training and infrastructure costs are required to harness the platform's full potential

Use cases

• Quality control in pharmaceutical manufacturing
• Predictive maintenance in biotech equipment
• Supply chain optimization in healthcare logistics

Target industries and customers

Aizon's primary focus is within the life sciences industry, specializing in the pharmaceuticals, biotechnology, and healthcare sectors. Information about their customer base is limited.

5. AspenTech

AspenTech specializes in process modeling and simulation solutions for the oil and gas, petrochemical, and bulk chemical industries.

Features

• Simulation and process modeling
• Process optimization solutions
• Analytics capabilities for engineering and manufacturing

Pros

• Provides industry-specific solutions tailored for process optimization
• It seamlessly integrates with other engineering software tools
• It has an easy-to-use graphical drag-and-drop platform

Cons

• Primarily suited for specific process industries
• Due to the complexity of the platform, it requires significant training and support
• Limited focus on data science and machine learning
• The cost is significant and can limit the feasibility of use for medium and small-scale organizations
• AspenTech's solutions have compatibility with legacy systems and various software

Use cases

• Process optimization in chemical manufacturing
• Energy consumption analysis in utilities
• Quality control in manufacturing processes

Target industries and customers

AspenTech primarily targets industries involving complex engineering, manufacturing, and industrial processes such as bulk chemical, energy, engineering, manufacturing, petrochemical, and oil and gas. Their notable customer base includes:

• Fluor
• Qenos
• Petrofac
• Nexen energy
• ORPIC
• Tupras

6. Kongsberg

Kongsberg is a global technology corporation delivering mission-critical solutions for customers that operate under extremely challenging conditions, mainly maritime, offshore, defense, and other high-technology sectors.

It provides analytics solutions that leverage data-driven insights to enhance operational efficiency and safety. It brings the simulation concept to life by providing a virtual model of physical assets.

Features

• Analytics automation tailored for the maritime and offshore sectors
• Integration with maritime systems for performance monitoring and dynamic positioning
• Real-time solutions for improving operational efficiency
• Asset life and performance monitoring
• Predictive maintenance
• Steady and dynamic simulation modeling

Pros

• User-friendly and customizable interface
• Incorporates real-time data for optimized decision-making

Cons

• Solution specifics can vary based on industry and product
• Demands high-capacity infrastructure to utilize the platform's full capabilities
• Requires dedicated resources, including specially trained personnel

Use cases

• Manufacturing process optimization
• Maritime vessel performance monitoring
• Data-driven maintenance in transportation
• Scenario-based economic evaluation

Target industries and customers

Kongsberg provides analytics solutions for the manufacturing, defense, aerospace, maritime, and offshore industries, with a client base including:

• US military
• Royal Norwegian Navy
• British Petroleum
• ExxonMobil

7. Aveva

Aveva delivers industrial software solutions encompassing data analytics, visualization, and process optimization for various industries. They specialize in robust physics-based model solutions.

Features

• Data analytics and visualization tools
• Process optimization capabilities

Pros

• Aveva is known for its industry expertise in multiple sectors
• The software provides fast and accurate output
• Customized reports are detailed and easy to generate

Cons

• Integration complexity with existing systems
• Requires dedicated resources, including specially trained personnel
• Limited capacity for implementing AI and real-time optimization

Use cases

• Operational efficiency improvement in manufacturing
• Energy consumption optimization in utilities
• Maritime asset performance monitoring

Target industries and customers

Aveva serves the manufacturing, energy, utilities, and infrastructure industries, helping them optimize processes, monitor asset performance, and make informed decisions. Their notable customers include:

• Ariosh
• INNOVATEAM
• Reliance industries
• Saudi Aramco
• EDF energy

Comparison table

Conclusion

In summary, Basetwo emerges as the top solution for analytics automation in this review due to its user-friendly interface, advanced modeling capabilities, and robust data integration, offering a streamlined approach to process simulation and optimization.

Its user-friendly interface and advanced analytics capabilities, including machine learning and predictive analytics, position it as a versatile tool for businesses across various industries. Customizable dashboards and the ability to automate complex processes enhance efficiency and decision-making.

Basetwo has a proven track record with Fortune 500 countries and has helped them reduce operating costs, material usage, and energy consumption.

If you’d like to learn more, contact us for a demo to drive process optimization and maximize product quality.