MATLAB vs 1010data

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Our analysts compared MATLAB vs 1010data based on data from our 400+ point analysis of Big Data Analytics Tools, user reviews and our own crowdsourced data from our free software selection platform.

1010data Software Tool

Product Basics

MATLAB is a numerical computing and programming platform that enables users to develop and implement mathematical algorithms, create models and analyze data. Designed for engineers and scientists, it can be used for a range of purposes, including deep learning and machine learning, computational finance, image processing, predictive maintenance, IoT analytics and more. Built around its matrix-based programming language, it can help users run analyses on large data sets as well as design and rigorously test models.

It is available through on-premise installation on Windows and Mac. For eligible licensees, there is also a SaaS version accessible through a web browser. Users can purchase it under a perpetual or annual license, with discounts for academic institutions. For individuals not associated with government agencies, private companies or other organizations, there is a less expensive home license for personal use. Students can purchase a student license for a version designed for coursework and academic research.

Early-stage technology startups can apply for startup-friendly pricing and opportunities.
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1010data is a market intelligence and enterprise analytics solution that helps track consumer insights and market trends. In addition to vendor-critical insights, it provides brand performance metrics to buy-side entities. Seamlessly embeddable, it can also function as a standalone private-label option. Data scientists and statisticians leverage its integration with R to view and query data tables.

It enables analytics development through its QuickApps framework. By tracking consumer spending trends and brand performance, it enables businesses to better position their products in the marketplace.
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$980 Annually
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$12,000/User, Annually
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Product Assistance

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Knowledge Base
24/7 Live Support
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Product Insights

  • Get Results Faster: Obtain quicker results through contextual hints, automatic code generation and a fully integrated debugger. Spend less time on programming and troubleshooting.
  • Analyze with Less Code: Teach the platform to automatically generate code to reproduce work and save time, as well as perform tasks such as training machine learning models or labeling data. 
  • Add-Ons For Every Application: Customize and extend the functionality of the core platform through the MATLAB family of add-on products to address specific business needs.
  • Scale Up to Big Data: Scale analyses to process big data by running on clusters, GPUs and clouds. Speed up computation on large data sets without needing to rewrite code or learn big data programming. 
  • Updates and Upgrades: Runs code more than twice as fast as before, due to continual updates and new features on the platform, as well as twice-yearly new releases.
  • Access Anywhere: Sign in to the online platform from any standard web browser, without needing to download and install the application on new machines. Syncs files between computers and the online platform via cloud storage and integration, eliminating the need for manual upload or download. 
  • Enhanced Collaboration: Collaborate by sharing scripts and files directly online or publishing to the web via interactive controls. Easily package or translate analysis for other platforms, or document work and export it to reports for sharing.
  • Free Trial: Try it hands-on with a free 30-day trial. Students whose schools have a campus license can access a free copy of the software without the 30-day trial limitation.
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  • Track Consumer Trends:  Discover how consumers search for and assess products before buying. Identify product affinities by segments and add value through basket analysis to expand the category assortment. Analyze customers based on geography and spending tiers to create targeted marketing strategies. 
  • Analyze Buyer Behavior:  Drive customer retention and higher loyalty by analyzing shopper lifecycles by retailer with geographical drill-down capabilities. Track the path-to-purchase customer experience and the buyer acquisition process. Monitor points of purchase — whether in-store or online, which stores were visited pre-purchase and the items considered before buying. 
  • Maximize ROI:  Assess shopping behavior at the category, brand, merchant and product levels. Analyze conversion rates and key metrics’ progression over time by new, lost and retained customers. Uncover churn rate figures by segment and spending capacity to drive remedial strategies. 
  • Track the Competition:  Track the product’s market position across hundreds of consumer goods categories. Identify disruptors from other brands on the market. Justify specific product category positioning with data on emerging competitors. Analyze merchandising strategies and promotional spend across merchants. 
  • Application Development:  Create end-to-end analytic applications directly atop proprietary granular data through its QuickApps framework and iterate when needed. Deploy them via desktop web, mobile devices or external applications with legacy governance parameters. 
  • Buy-Side Insights:  Inform buy-side investment decisions by tracking consumer spending, transactions and basket size of multiple brands. Analyze company performance by quarter, month, week and day. Get granular insights on sector trends, customer segments or geospatial consumer data, refreshed daily. 
  • Data Security:  Secure by design, it has a stateful architecture for privately allocated, separate user sessions. It is HIPAA compliant and SOC 2 Type II certified, with support for single sign-on via SAML 2.0 authentication. 
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  • Data Import: Import and access a variety of data types, including text files, spreadsheets, images, audio, video, scientific data formats, IoT data, large data sets and more. 
  • Algorithm Development: Develop algorithms with thousands of core mathematical, engineering and scientific functions and tools for debugging, implementation and optimization. 
  • Automate with Machine Learning: Leverage interactive apps to see how algorithms work with data and then tweak to get the desired results. Then, automatically generate a program to reproduce or automate workflows. 
  • Live Editor: Build functions and generate code, creating scripts that can be enhanced with formatting through an interactive editor. Compile these scripts and results into an executable notebook. Explore parameters and immediately see the results, saving time.
  • Data Analysis: Analyze large data sets and big data in a multitude of ways through thousands of prebuilt functions for statistical analysis, machine learning and signal processing.
  • Data Visualization: Turn data into graphics with prebuilt 2D and 3D plots, including line plots, histograms, bar graphs, scatter plots, pie charts, word clouds, maps, polar plots, vector fields and animations.
  • Mathematics: Perform mathematical calculations via a vast library of mathematical functions, including linear algebra, statistics, Fourier analysis, numerical integration, differential equations and more.
  • Modeling: Supports model-based design, multi-domain simulation and automatic code generation via integration with another product from the same vendor, Simulink. Helps in numeric and symbolic modeling and provides mathematical tools like curve fitting, statistics, ODE and PDE solving, calculus and more.
  • Teach with Live Scripts: Build live scripts with its code to let students explore concepts and learn on their own. Create engaging lectures that walk students through explanations, math equations and results, one section at a time. Modify code on the fly to demonstrate how to use math to solve complex problems.
  • App Designer: Create, package and share professional desktop and web apps without needing all the technical know-how of app development. Lay out a graphical user interface through drag-and-drop tools and write the coding for the app’s behavior with an integrated editor and code analyzer that warns about errors in code as it’s written.
  • Community Gallery: See examples from the community on how to display and manipulate data by visiting the plot gallery and live script gallery on the vendor’s website.
  • Programming Integrations: Supports interfacing with other programming languages. Use the platform from within another programming environment without starting a new desktop session through engine APIs that support C/C++, Fortran, Java, Python and more. Call functions and objects from other libraries, including C, C++, Java, Python, .NET, COM objects and more from within the platform. Convert algorithms written in its code to C/C++.
  • Add-Ons: Utilize toolboxes and specialized solutions for fields such as math and optimizations, statistics and data science, code generation, application deployment, database access and reporting. These toolboxes are professionally built, rigorously tested and fully documented. Integrate automated reporting into the platform with richly-formatted custom reports in PDF, Word and HTML formats. 
  • MATLAB Online: Access the platform from any web browser through cloud-based services without downloading and installing the software. 
  • MATLAB Drive: Store, manage and share files from the cloud across devices and work with files from anywhere.
  • Mobile App: Learn and teach through mobile apps for iOS and Android devices. Connect to sessions, and acquire sensor data to analyze and capture images and videos.
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  • Cloud-Native: Built from the ground up to enable large-scale, multi-party data sharing and analytics in the cloud. 
  • Advanced Analytics: Derive meaningful data insights by creating advanced data models against complex data sets. Perform time-series analysis, statistical functions and machine learning through its functions library. 
  • Visualizations: Create charts, graphs, heat maps and more through its rich functions library and a visual expression builder. Leverage the power of analytics through integration with visualization tools like Tableau, Logi Analytics, Information Builders and Metric Insights. 
  • Reporting: Acquire business-critical insights through standardized reporting, consistent KPI monitoring and guided ad-hoc reporting. Gain confidence in data with full visibility into proprietary information and calculation lineage. Save data results locally or to a file system via FTP, or in a data table. Or, export it in CSV, PDF or Excel format. 
  • Data Management: Pull and blend disparate, complex data sets on-the-fly into an analysis-ready format. Assign role-based permissions for access to tables, rows and columns. Tracks usage activity through audit trails and logs that include the account information, IP address and tables accessed. 
  • Integrations: Run advanced data analytics via the R console through R1010. Easily access data tables and view them in Tableau with real-time integration, data discovery and SQL support. Create spreadsheets that access the 1010 data platform via its Excel add-in. 
  • Universal Calculation Library: Quickly answer data-based queries by analyzing complex datasets through centralized and standardized calculations. 
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Product Ranking

#11

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#44

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User Sentiment Summary

Excellent User Sentiment 4535 reviews
Good User Sentiment 25 reviews
92%
of users recommend this product

MATLAB has a 'excellent' User Satisfaction Rating of 92% when considering 4535 user reviews from 5 recognized software review sites.

78%
of users recommend this product

1010data has a 'good' User Satisfaction Rating of 78% when considering 25 user reviews from 2 recognized software review sites.

4.5 (599)
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4.6 (1808)
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4.6 (1570)
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4.6 (401)
4.0 (18)
4.3 (157)
3.7 (7)

Awards

MATLAB stands above the rest by achieving an ‘Excellent’ rating as a User Favorite.

User Favorite Award

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Synopsis of User Ratings and Reviews

Service and Support: All users who mentioned support said that online community forums are supportive in helping them leverage the platform to its maximum potential.
Data Processing: Around 92% of users who discussed its data processing capabilities said that the solution helps to simulate and visualize complex mathematical models in an intuitive manner.
Data Analysis: According to 92% of users who reviewed data analysis, the platform, with multiple built-in packages, is useful in exploring data, creating machine learning models and predictive analysis.
Functionality: Citing a range of pre-loaded functions and algorithms, approximately 88% of users who reviewed functionality said that the solution is a powerful tool with a rich feature set and strong computing abilities.
Ease of Use: Reviewing ease of using the tool, approximately 60% of users said that, with detailed documentation being readily available, minimal coding experience is necessary to create and combine scripts.
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Robust Data Processing: Handles large volumes of structured and unstructured data efficiently, enabling comprehensive data analysis.
Scalable Architecture: Supports growing data volumes and user demands, ensuring seamless performance as your business expands.
Advanced Analytics Capabilities: Provides sophisticated machine learning algorithms and statistical techniques for in-depth data exploration and predictive modeling.
User-Friendly Interface: Intuitive dashboards and visualization tools simplify data analysis, making it accessible to users of all technical levels.
Data Security and Compliance: Adheres to industry standards and regulations, ensuring the protection and privacy of sensitive data.
Cost-Effective Solution: Offers flexible pricing models and cloud-based deployment options, reducing upfront investment and ongoing maintenance costs.
Excellent Customer Support: Provides dedicated technical support and documentation, ensuring smooth implementation and ongoing assistance.
Community and Resources: Fosters a vibrant user community and offers extensive resources, including tutorials, webinars, and case studies.
Integrations with Other Tools: Seamlessly connects with popular business intelligence and data visualization tools, enhancing data analysis capabilities.
Proven Track Record: Trusted by numerous businesses and organizations, delivering successful data-driven initiatives.
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Performance and Speed: Around 91% of users who reviewed speed said that the platform is resource-hungry in terms of power and space and slows down when performing complex computations.
Cost: Citing licensing costs, approximately 81% of users said that the software is expensive for individual users.
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Complexity: Challenging to use for non-technical users, requiring specialized knowledge and skills.
Limited Customization: Pre-defined templates and limited flexibility, hindering the adaptation to specific business needs.
Data Quality Issues: Inconsistent data quality and lack of data validation tools, leading to unreliable insights.
Scalability Challenges: Struggles to handle large and complex datasets, resulting in performance issues and delayed analysis.
Vendor Lock-in: Proprietary technologies and limited data portability, restricting users from switching to alternative solutions.
Costly Licensing: Expensive licensing fees and hidden costs, making it unaffordable for some organizations.
Lack of Real-time Analysis: Inability to process and analyze data in real-time, hindering timely decision-making.
Insufficient Support: Limited technical support and documentation, leaving users struggling with implementation and troubleshooting.
Privacy Concerns: Concerns about data privacy and security, as tools often require access to sensitive information.
Steep Learning Curve: Extensive training and time investment required to master the tools, hindering adoption.
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MATLAB is a computing and programming tool that combines the power of functions and algorithms with data integration, modeling and visualization for predictive business data analysis. Users perform complex computations on data sets that the platform ingests from a multitude of data sources to glean business-specific metrics. Citing online communities, all users who reviewed support said that the tool is accessible to beginners, while providing enough depth for advanced users, though some said that the coding syntax could be daunting for non-technical users initially. Around 92% of users who reviewed its analytical capabilities said that the platform provides a wide range of built-in packages to provide out-of-the-box data analysis solutions. With its minimal scripting, many users who discussed data processing said that they could simulate complex mathematical functions to visualize complex data models. Reviewing its functionality, many users said that its rich library and design makes it possible to write powerful programs easily. A majority of users who discussed its performance said that the platform consumes a lot of power and space and slows down when performing complex computations, possibly because updates, though frequent, do not include optimization for older features. Many users who reviewed the cost said that individual user licenses are expensive, and buying additional libraries adds to the cost since many of these have interlinking dependencies, though some users said that the platform provides value for money. In summary, MATLAB is a programming solution that leverages machine learning for data collection and complex computations for users to create data models and visualize enterprise metrics for predictive analysis.

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1010data's user reviews over the past year paint a picture of a robust big data analytics tool with strengths in data visualization, ease of use, and customer support. Users have praised its intuitive interface, which allows even non-technical users to quickly create and share insights. Additionally, the tool's advanced visualization capabilities, such as interactive dashboards and customizable charts, have been highlighted as key differentiators, enabling users to explore and present data in a visually appealing and impactful manner. However, some users have expressed concerns regarding the tool's scalability and performance when handling extremely large datasets. Additionally, the lack of certain advanced features, such as real-time analytics and predictive modeling, has been noted as a weakness compared to more comprehensive analytics platforms. Nonetheless, 1010data remains a popular choice for businesses seeking a user-friendly and visually oriented tool for their data analytics needs, particularly for those with smaller to mid-sized datasets.

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