Seeq
Seeq is an advanced analytics software platform designed for process manufacturing industries to rapidly investigate and share insights from time-series data stored in historians and cloud data stores.
Sigma Computing
Sigma Computing is a cloud-native analytics platform that provides a spreadsheet-like interface for you to explore, visualize, and analyze massive live datasets directly within your data warehouse.
Quick Comparison
| Feature | Seeq | Sigma Computing |
|---|---|---|
| Website | seeq.com | sigmacomputing.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✘ No free trial | ✓ 14 days free trial |
| Free Plan | ✘ No free plan | ✘ No free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2013 | 2014 |
| Headquarters | Seattle, USA | San Francisco, USA |
Overview
Seeq
Seeq provides you with advanced analytics tools specifically built for process manufacturing data. Instead of spending days manually cleaning data in spreadsheets, you can connect directly to your historians and IoT platforms to visualize trends and identify root causes in minutes. You can easily search through years of data to find specific operation patterns or equipment failures across your entire enterprise.
The platform enables your engineers to collaborate in real-time using shared workbooks and automated reports. You can build predictive models to anticipate maintenance needs and optimize production yield without requiring a background in data science. It is designed for heavy industries like oil and gas, pharmaceuticals, and chemicals where high-frequency time-series data is critical for daily decision-making.
Sigma Computing
Sigma Computing gives you the power of a high-performance analytics engine with the familiarity of a spreadsheet. Instead of waiting for technical teams to write SQL, you can connect directly to your cloud data warehouse and start exploring billions of rows of live data. You can build complex calculations, create interactive dashboards, and drill down into the finest details without ever leaving the interface you already know how to use.
The platform is designed for teams that need real-time insights without the typical lag of traditional BI tools. Whether you are in finance, sales, or operations, you can collaborate with teammates in real-time to make data-driven decisions. Because it lives in the cloud, you don't have to worry about managing infrastructure or dealing with extracted data that quickly becomes outdated.
Overview
Seeq Features
- Workbench Analytics Identify trends and calculate KPIs across massive time-series datasets using an intuitive point-and-click interface.
- Organizer Reports Create dynamic documents and dashboards that update automatically as new process data flows into your system.
- Data Lab Access the power of Python libraries to build custom machine learning models and advanced data science workflows.
- Pattern Search Find specific process conditions or equipment behaviors instantly across months of data to replicate best practices.
- Predictive Modeling Build and deploy regression models to forecast future performance and prevent costly unplanned downtime.
- Contextualization Overlay data from different sources like SQL databases and historians to see the full story behind your operations.
Sigma Computing Features
- Spreadsheet Interface. Analyze billions of rows of data using familiar formulas and functions without needing to learn complex SQL syntax.
- Live Data Connection. Connect directly to your cloud data warehouse so you always work with the most current information available.
- Visual Data Exploration. Create interactive charts and dashboards instantly to uncover trends and share insights with your entire team.
- Collaborative Workbooks. Work together with your colleagues in real-time on the same analysis to speed up decision-making processes.
- Drill-Down Capabilities. Click into any data point to see the underlying row-level detail and understand the 'why' behind your numbers.
- Embedded Analytics. Deliver powerful data insights directly into your own applications or portals for your customers and partners to use.
Pricing Comparison
Seeq Pricing
Sigma Computing Pricing
Pros & Cons
Seeq
Pros
- Rapidly cleans and aligns messy time-series data
- Eliminates the need for manual spreadsheet calculations
- Excellent collaboration features for remote engineering teams
- Direct connection to major industrial data historians
- Intuitive interface for non-data scientists
Cons
- Requires a significant initial time investment
- Pricing is not transparent for small teams
- Advanced Python features require coding knowledge
Sigma Computing
Pros
- Familiar spreadsheet interface reduces the learning curve significantly
- Handles massive datasets without slowing down or crashing
- Eliminates the need for manual SQL coding for most users
- Real-time collaboration features make team projects much faster
Cons
- Initial setup requires technical knowledge of data warehouses
- Pricing is not transparent and requires a sales call
- Advanced formatting options for charts can be limited