SAP HANA vs SigmaPlot

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Our analysts compared SAP HANA vs SigmaPlot 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.

SAP HANA Software Tool

Product Basics

SAP HANA is the in-memory database for SAP’s Business Technology platform with strong data processing and analytics capabilities that reduce data redundancy and data footprint, while optimizing hardware and IT operational needs to support business in real time. Available on-premise, in the cloud and as a hybrid solution, it performs advanced analytics on live transactional data to display actionable information.

With an in-memory architecture and lean data model that helps businesses access data at the speed of thought, it serves as a single source of all relevant data. It integrates with a multitude of systems and databases, including geo-spatial mapping tools, to give businesses the insights to make KPI-focused decisions.
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SigmaPlot is a sophisticated software designed for advanced data analysis and scientific graphing, particularly excelling in Big Data Analytics. It is tailored for researchers, scientists, and engineers who require precise and detailed data visualization and statistical analysis. The software's ability to handle large datasets efficiently makes it invaluable for these professionals, enabling them to derive meaningful insights from complex data.

One of the key benefits of SigmaPlot is its extensive range of graphing options, which includes 2D and 3D plots, contour plots, and histograms. Users appreciate its intuitive interface and the high degree of customization available for graphs and charts. Additionally, SigmaPlot offers robust statistical analysis tools, which are essential for validating research findings and making data-driven decisions.

Compared to similar products, SigmaPlot is often praised for its user-friendly design and powerful analytical capabilities. Pricing typically falls within a mid-range bracket, with options for single-user licenses and annual subscriptions, making it accessible for both individual researchers and larger institutions.

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$972/Capacity Unit, Usage-Based
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$399/User, One-Time
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Product Insights

  • Database Management: Reduces operational complexity through the use of a single database that allows data to be stored without a predefined structure. Provides data structure flexibility to application developers. Joins this data with many other data types with full interoperability. 
  • Build Business Solutions: The Business Function Library delivers pre-built functions that developers link at the database kernel level to build powerful business solutions. 
  • Geo-spatial Analysis: Stores spatial data and enables geographical data processing to drive location-specific business application development. 
  • Deploy Anywhere: Deploy on-premise, multi-cloud or go hybrid. Set up on traditional servers, pre-configured appliances, the HANA Enterprise Cloud or partner clouds including AWS and Microsoft Azure. Extend on-premise solutions to the cloud smoothly during any phase of the project. 
  • Predictive Analytics and Machine Learning: Supports transactional processing through machine learning and data analysis in real time. Take action before or as events happen to improve results and boost productivity. 
  • Smart Data Access: Connect virtually to remote, externally supported databases. Stores only the metadata of the database objects as a virtual table in the local database schema. Access data from the remote database in real time, irrespective of its location. 
  • Reduced Cost of Ownership: Mitigates hardware costs through a reduced data footprint made possible by a compression algorithm and lean data structure. 
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  • Enhanced Data Visualization: SigmaPlot offers advanced graphing capabilities, allowing users to create detailed and publication-quality charts and graphs, which can help in better understanding and presenting complex data sets.
  • Improved Data Analysis: The software includes a wide range of statistical tools, enabling users to perform comprehensive data analysis, from basic descriptive statistics to complex regression models, ensuring accurate and reliable results.
  • Customizable Graphs: Users can fully customize their graphs, including axis scales, labels, and colors, to meet specific presentation needs, making it easier to communicate findings effectively.
  • Integration with Other Software: SigmaPlot seamlessly integrates with other software like Microsoft Excel and various statistical packages, facilitating smooth data import and export processes, which saves time and reduces errors.
  • Automated Reporting: The software can generate automated reports, which include graphs and statistical analyses, streamlining the reporting process and ensuring consistency and accuracy in documentation.
  • Enhanced Productivity: By automating repetitive tasks and providing intuitive tools for data manipulation and visualization, SigmaPlot helps users to work more efficiently, freeing up time for more critical analysis tasks.
  • High-Quality Output: SigmaPlot produces high-resolution graphics suitable for publication in scientific journals, ensuring that the visual representation of data meets the rigorous standards of academic and professional publications.
  • Comprehensive Support: Users have access to extensive documentation, tutorials, and customer support, which can help in quickly resolving issues and maximizing the software's potential.
  • Versatile Data Handling: The software can handle large datasets and perform complex analyses without compromising performance, making it suitable for big data analytics and research projects.
  • Enhanced Collaboration: SigmaPlot allows for easy sharing of graphs and data with colleagues, facilitating collaboration and ensuring that all team members have access to the same high-quality visualizations and analyses.
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  • Data Integration: Captures any type of data — structured or unstructured — from database transactions, applications and streaming data sources. Ingests part of a data set or the complete data set into its native architecture for ready access. 
  • Capture and Replay: Record complex database transactions and then replay them on another device. Test on a non-production system while using production transactions, on a hosted instance, or in the cloud. 
  • Graph Data Processing: Combines its built-in graph engine with the in-memory relational database. Makes graph processing of relational tables easy to learn and use. 
  • SAP HANA Cockpit: Configure and manage HANA instances and applications through a single console interface. Easily schedule all backup jobs and monitor the system for immediate visibility of potential blockers. Integrate with other applications for workload management and security. 
  • Flexible Querying: Choose from a variety of semantics structures to query data in the database memory through a flexible algorithm. 
  • In-memory Architecture: Analyze insights in real time to monitor business KPIs and generate forecast trends. Access data quicker than with conventional databases via its in-memory database. 
  • Data Compression: Compresses data by up to 11 times and stores it in columnar structures for high-performance read and write operations. Saves storage space and provides faster data access for search and complex calculations. 
  • Parallel Processing: Performs basic calculations, such as joins, scans and aggregations in parallel, leveraging column-based data structures. Processes data quicker for distributed systems. 
  • Real-time Analysis: Queries transactional data directly as it is added in real-time. Leverages its inbuilt data processing algorithm to read and write data to a column storage table at high speeds. Acquire total visibility over information while it is being analyzed and make on-the-spot, incisive decisions. 
  • Role-based Permissions: Maintain data integrity across the organization — assign data access based on each team member’s role. 
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  • Advanced Graphing Capabilities: Create a wide range of 2D and 3D graphs, including scatter plots, bar charts, and contour plots, with high customization options.
  • Data Analysis Tools: Perform complex statistical analyses such as regression, ANOVA, and non-linear curve fitting directly within the software.
  • Interactive Graphs: Modify graph elements interactively, allowing for real-time adjustments and immediate visual feedback.
  • Extensive Graph Templates: Utilize pre-built graph templates to streamline the creation process and ensure consistency across multiple projects.
  • Publication-Quality Output: Generate high-resolution graphs suitable for publication in scientific journals, with precise control over every aspect of the graph's appearance.
  • Data Import and Export: Import data from various sources including Excel, CSV, and SQL databases, and export results in multiple formats for easy sharing and collaboration.
  • Customizable User Interface: Tailor the workspace to fit your workflow with customizable toolbars, menus, and window layouts.
  • Scripting and Automation: Use SigmaPlot's scripting language to automate repetitive tasks and create custom functions, enhancing productivity and efficiency.
  • Integration with Other Software: Seamlessly integrate with other analytical tools and software packages, such as MATLAB and R, to extend functionality.
  • Comprehensive Help and Support: Access detailed documentation, tutorials, and a responsive support team to assist with any questions or issues.
  • Data Management: Organize and manage large datasets efficiently with built-in data management tools, ensuring data integrity and ease of access.
  • Statistical Guidance: Receive guidance on selecting appropriate statistical tests and interpreting results, aiding in accurate data analysis.
  • Custom Graph Annotations: Add text, arrows, and other annotations to graphs to highlight key data points and trends, enhancing the clarity of presentations.
  • Batch Processing: Process multiple datasets simultaneously with batch processing capabilities, saving time and reducing manual effort.
  • Template Sharing: Share custom graph templates with colleagues to maintain consistency and streamline collaborative projects.
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Product Ranking

#13

among all
Big Data Analytics Tools

#47

among all
Big Data Analytics Tools

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User Sentiment Summary

Great User Sentiment 1173 reviews
Excellent User Sentiment 25 reviews
86%
of users recommend this product

SAP HANA has a 'great' User Satisfaction Rating of 86% when considering 1173 user reviews from 4 recognized software review sites.

90%
of users recommend this product

SigmaPlot has a 'excellent' User Satisfaction Rating of 90% when considering 25 user reviews from 1 recognized software review sites.

4.2 (345)
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4.6 (19)
4.5 (25)
4.3 (328)
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4.3 (481)
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Awards

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

User Favorite Award

Synopsis of User Ratings and Reviews

Data Analysis: Around 92% of users who reviewed data analysis said that the tool analyzes and displays insights and trend forecasts of transactional data in real time to enable timely decision-making.
Data Processing: Approximately 91% of the users who discussed data processing said that the tool can query large amounts of data due to its in-memory architecture and data compression algorithm.
Data Integration: Around 87% of the users said that the solution migrates data efficiently from a wide range of SAP and non-SAP systems.
Support: Approximately 87% of the users who discussed support said that they are responsive, and online user communities and knowledge bases assist in faster resolution of issues.
Speed and Performance: Citing the tool’s fast runtime, around 76% of the users said that they can perform on-the-fly calculations at very high speeds.
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Powerful Data Visualization: SigmaPlot excels at creating visually appealing and informative graphs, making it easy to communicate complex data insights to colleagues and stakeholders. For example, users have praised its ability to generate publication-quality figures for scientific reports and presentations.
Comprehensive Statistical Analysis: SigmaPlot offers a wide range of statistical tests and functions, enabling users to perform in-depth analysis on their data. This is particularly useful for researchers and analysts who need to go beyond basic descriptive statistics and delve into more complex statistical models.
User-Friendly Interface: SigmaPlot's interface is intuitive and easy to navigate, even for users who are not familiar with statistical software. This makes it accessible to a wider range of users, from students to experienced researchers.
Automation and Scripting: SigmaPlot allows users to automate repetitive tasks and create custom scripts, which can save significant time and effort when working with large datasets. This is especially beneficial for users who need to perform the same analysis on multiple datasets or who want to streamline their workflow.
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Pricing: Approximately 80% of the users who mentioned pricing said that the solution’s in-memory architecture demands large amounts of RAM, which adds to the cost.
Functionality: According to around 53% of the users who reviewed functionality, the solution needs to be more flexible and agile to perform complex calculations on large datasets.
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Limited Data Handling: SigmaPlot struggles with large datasets, making it less than ideal for Big Data Analytics. Users have reported slow processing times and crashes when working with datasets exceeding a certain size.
Lack of Advanced Analytics: SigmaPlot lacks the advanced analytics features commonly found in other Big Data Analytics tools. For example, it doesn't offer machine learning algorithms or sophisticated statistical modeling capabilities.
Limited Data Visualization Options: While SigmaPlot offers basic visualization options, it lacks the flexibility and customization found in other tools. Users have expressed frustration with the limited chart types and difficulty in creating visually appealing and informative graphs.
Steep Learning Curve: SigmaPlot's interface can be complex and challenging to navigate, especially for users unfamiliar with statistical software. This steep learning curve can hinder productivity and make it difficult for new users to quickly become proficient.
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SAP HANA is a multi-model database and analytics platform that combines real-time transactional data with predictive analytics and machine learning capabilities to drive business decisions quicker. Most of the users who mentioned analytics said that, with its Online Analytical Processing(OLAP) and Online Transactional Processing(OLTP) capabilities, the tool analyzes data faster with predictive modeling and machine learning. Many users who reviewed data processing said that the tool has a lean data model due to its in-memory architecture and columnar storage capabilities, and, paired with its compression algorithm, can perform calculations on-the-fly on huge volumes of data. In reference to data integration, many users said that the platform connects seamlessly with both SAP and non-SAP systems, such as mapping tools like ArcGIS, to migrate data to a consolidated repository, though quite a few users said that integration with media files and Google APIs is tedious. Most of the users who reviewed support said that they are responsive, and online user communities and documentation help in resolving issues, whereas some users said that the support reps had limited knowledge. A majority of the users who reviewed its speed said that the platform has a fast runtime, though some users said that it requires high-performing hardware infrastructure to do so and that memory management might be tricky with large datasets. The software does have its limitations though. Being in-memory, the tool is RAM-intensive, which can add to the cost of ownership, though some users said that data compression reduces the database size and saves on hardware cost. A majority of the users who reviewed its functionality said that it needs to be more mature in terms of flexibility and agility, though some users said that with easy updates and maintenance, it is a robust solution and increases efficiency and productivity. In summary, SAP HANA serves as a single source of truth for analysis of large volumes of data and uncovering consumer insights through planning, forecasting and drill-down reporting. However, it seems more suited for large organizations with complex data types and analytics workflows because of its costly pricing plans.

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Is SigmaPlot the real deal or just a bunch of hot air? SigmaPlot is a popular choice for creating high-quality graphs and reports, especially for those working in scientific fields. Users praise its ease of use and wide range of graphing options, making it a breeze to create professional-looking visuals. The software's ability to integrate with Microsoft Office is a major plus, allowing users to easily access data from Excel spreadsheets and present results in PowerPoint presentations. However, some users have noted that SigmaPlot can be resource-intensive, requiring a powerful computer to run smoothly. This can be a drawback for users with older or less powerful machines. SigmaPlot's strengths lie in its ability to create visually appealing and customizable graphs. Users can choose from a wide variety of graph types, including 2D and 3D options, and customize every detail of their charts. This makes it ideal for creating publication-ready graphs that can be easily shared and understood. The software also offers powerful statistical analysis tools, allowing users to explore their data in depth and draw meaningful conclusions. SigmaPlot is best suited for researchers, scientists, and anyone who needs to create high-quality graphs and reports for presentations, publications, or other professional purposes. Its ease of use, wide range of features, and integration with Microsoft Office make it a valuable tool for anyone working with data. However, users with limited computing resources may want to consider other options.

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