Software Alternatives, Accelerators & Startups

Sigma Computing VS Pyspread

Compare Sigma Computing VS Pyspread and see what are their differences

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Sigma Computing logo Sigma Computing

Sigma is the only BI analytics tool purpose-built for your cloud data warehouse. Uniquely scalable, with an experience you already know: the spreadsheet.

Pyspread logo Pyspread

pyspread is a non-traditional spreadsheet application that is based on and written in the programming language Python.
  • Sigma Computing Landing page
    Landing page //
    2023-04-14

Sigma unlocks the value of data by delivering cloud-scale analytics and business intelligence with the simplicity of a spreadsheet, complete with pivot tables and dashboards.

Empower business professionals and data teams to quickly explore, analyze, visualize, and collaborate, leveraging all of their Snowflake data.

Sigma is a fully-managed SaaS offering that translates the spreadsheet functions and formulas you already know into optimized SQL required to directly interact with cloud data warehouses. Instead of storing your data, Sigma utilizes optimized query execution at cloud scale to deliver interactive experiences over billion-row datasets.

  • Pyspread Landing page
    Landing page //
    2021-09-28

pyspread expects Python expressions in its grid cells, which makes a spreadsheet specific language obsolete. Each cell returns a Python object that can be accessed from other cells. These objects can represent anything including lists or matrices.

pyspread is free software. It is released under the GPL v3 licence.

The latest release is pyspread v2.1.1. It requires Python 3.6+.

Sigma Computing features and specs

  • User-Friendly Interface
    Sigma Computing offers a highly intuitive, spreadsheet-like interface that allows users to perform data analysis without needing to know complex programming languages.
  • Real-Time Collaboration
    It allows teams to collaborate in real-time on data projects, ensuring seamless communication and rapid data-driven decision-making.
  • Direct Data Warehouse Connectivity
    Sigma Computing connects directly to cloud data warehouses, enabling users to access and analyze large data sets without data extraction or movement.
  • Scalability
    The platform is built to scale with your organization's needs, capable of handling increasing data volumes and user demands effortlessly.
  • Security and Compliance
    It includes robust security features and compliance standards to protect sensitive data and meet regulatory requirements.

Possible disadvantages of Sigma Computing

  • Learning Curve
    Though user-friendly, new users may still experience a learning curve, particularly if they lack experience in data analysis.
  • Limited Advanced Customization
    Some advanced users may find the customization options limited compared to fully programmable data analytics solutions.
  • Pricing
    The pricing structure might be a barrier for small businesses or startups with limited budgets.
  • Performance Constraints
    While generally robust, complex queries or extremely large data sets may lead to performance limitations.
  • Dependence on Cloud Infrastructure
    Its functionalities rely heavily on cloud infrastructure, which can be a drawback for companies preferring on-premises solutions.

Pyspread features and specs

  • Python Integration
    Pyspread utilizes Python as its scripting language, allowing users to employ Python functions and libraries directly within the spreadsheet, enabling advanced data manipulation and analysis.
  • Free and Open Source
    Being open-source, Pyspread is free to use and modify, encouraging customization and community-driven improvements without any licensing costs.
  • Matrix Handling
    Pyspread is designed to handle cells as matrices, which can be beneficial for performing mathematical and scientific calculations more efficiently.
  • Cross-platform
    Pyspread is cross-platform, meaning it can run on various operating systems, such as Windows, macOS, and Linux, providing flexibility for users across different systems.

Possible disadvantages of Pyspread

  • Steep Learning Curve
    Due to its integration with Python, Pyspread may have a steep learning curve for users unfamiliar with programming, potentially restricting its accessibility.
  • Limited User Community
    Compared to more established spreadsheet software, Pyspread has a smaller user community, which may result in less available third-party support and resources.
  • Basic User Interface
    The user interface of Pyspread might not be as polished or feature-rich as mainstream spreadsheet applications, which could affect user experience and efficiency.
  • Performance Limitations
    As a lightweight application, Pyspread may struggle with extremely large datasets or complex calculations, resulting in performance bottlenecks.

Sigma Computing videos

What Can Sigma Do For You

More videos:

  • Review - Sigma Computing CEO On The Snowflake IPO

Pyspread videos

No Pyspread videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Sigma Computing and Pyspread)
Analytics
100 100%
0% 0
Project Management
0 0%
100% 100
Business & Commerce
100 100%
0% 0
Spreadsheets
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Sigma Computing and Pyspread

Sigma Computing Reviews

10 Best Alternatives to Looker in 2024
Sigma Computing stands out as a top alternative to Looker, offering a powerful blend of user-friendly access and advanced data manipulation capabilities. This section outlines how Sigma meets the essential requirements of a robust business intelligence tool.
10 Best Looker Alternatives in 2024 | A Practitioner Review
Sigma Computing combines the power of SQL with an intuitive, spreadsheet-like interface, making it accessible for both technical and non-technical users. This design allows users to interact with data in a familiar spreadsheet interface while still leveraging the full capabilities of cloud data warehouses like Snowflake, Redshift, and BigQuery.
8 Best Open Source SIEM Tools
Sigma is an open signature format that allows you to define log events. You can apply Sigma rules to any log file format to augment its data with relevant security information. As the Sigma project states, “Sigma is for log files what Snort is for network traffic and YARA is for files.”
Source: www.logiq.ai

Pyspread Reviews

We have no reviews of Pyspread yet.
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Social recommendations and mentions

Based on our record, Pyspread should be more popular than Sigma Computing. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Sigma Computing mentions (1)

  • Ask HN: Who is hiring? (March 2023)
    Sigma Computing | Senior Software Engineers (Frontend,Fullstack,Backend)& Many More| SF & NYC https://sigmacomputing.com Sigma Computing is a BI Tool that allows all users in an organization to explore the data from your warehouse. This is an oversimplification, looking at the website will provide a better view. We have a strong engineering culture and we've been rapidly expanding in the last year. We are hiring... - Source: Hacker News / over 2 years ago

Pyspread mentions (6)

  • Comparison of Spreadsheet Software
    Curious why Quantrix Financial Modeler wasn't included? https://quantrix.com/products/quantrix-modeler pyspread would be another interesting comparison: https://pyspread.gitlab.io/ Really though, spreadsheets don't so much need features per se, but a better interface which will scale to larger datasets and which reduces the likelihood of logical errors --- Quantrix, based on Lotus Improv is one of the few to do this. - Source: Hacker News / 24 days ago
  • Ask HN: Modern Day Equivalent to HyperCard?
    That sort of thing makes me wonder why pyspread isn't more popula: https://pyspread.gitlab.io/ and if mito will become popular: https://www.trymito.io/ and whether maybe Jupyter Notebooks aren't the solution to this sort of thing. - Source: Hacker News / about 1 year ago
  • PySheets – Spreadsheet UI for Python
    For a non-browser python based spreadsheet application: https://pyspread.gitlab.io/. - Source: Hacker News / about 1 year ago
  • The pivot table, the spreadsheet's most powerful tool (2020)
    Or, you could use pyspread and list comprehensions for a similar effect: https://pyspread.gitlab.io/ https://pyspread.gitlab.io/manual/advanced_topics.html. - Source: Hacker News / over 1 year ago
  • Microsoft is bringing Python to Excel
    It'll certainly be a lot easier and more accessible than pyspread: https://pyspread.gitlab.io (which I wish was more widely known/used). - Source: Hacker News / almost 2 years ago
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What are some alternatives?

When comparing Sigma Computing and Pyspread, you can also consider the following products

Deep-Talk.ai - Deep Talk is the easiest way to turn customer and employee feedback into analytics and actionable data.

Gnumeric - Gnumeric

Hexowatch - Your AI sidekick to monitor any page for changes

RowZero.io - Row Zero is the best spreadsheet for big data. Row Zero has all the spreadsheet features you know and love, but can handle 1+ billion rows, process data faster, connect live to your data warehouse and supports sharing.

IntelliFront BI - IntelliFront BI is a data analytics and business intelligence solution.

Microsoft Office Excel - Microsoft Office Excel is a commercial spreadsheet application.