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.
Sisense
Sisense is a comprehensive data analytics platform that enables you to build, embed, and deploy interactive dashboards and analytical applications to drive better business decisions across your entire organization.
Quick Comparison
| Feature | Seeq | Sisense |
|---|---|---|
| Website | seeq.com | sisense.com |
| Pricing Model | Custom | Custom |
| Starting Price | Custom Pricing | Custom Pricing |
| FREE Trial | ✘ No free trial | ✓ 30 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 | 2004 |
| Headquarters | Seattle, USA | New York, 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.
Sisense
Sisense is an end-to-end analytics platform designed to help you prepare, analyze, and visualize complex data from multiple sources. You can simplify your data stack by connecting directly to cloud data warehouses or using the high-performance Elasticube engine to process large datasets without heavy IT involvement. The platform focuses on making data accessible to everyone, allowing you to create customized dashboards that reveal hidden patterns and actionable insights.
You can also go beyond standard internal reporting by embedding white-labeled analytics directly into your own customer-facing applications. This helps you provide extra value to your users through data-driven features. Whether you are a data scientist performing advanced modeling or a business manager tracking daily KPIs, the platform provides the tools you need to turn raw information into a competitive advantage.
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.
Sisense Features
- Elasticube Engine. Process massive volumes of data with a high-performance analytical engine that handles complex joins and calculations instantly.
- Embedded Analytics. Integrate fully white-labeled dashboards and charts directly into your own products and applications using robust APIs.
- AI-Driven Insights. Uncover hidden trends automatically with built-in machine learning that highlights anomalies and predicts future business outcomes.
- Drag-and-Drop Modeling. Combine disparate data sources visually without writing complex code or relying on constant support from your IT department.
- Natural Language Querying. Ask questions about your data in plain English and receive immediate visual answers through the Sisense Simply Ask feature.
- Git Integration. Manage your analytical assets like code with version control, allowing you to track changes and collaborate across development environments.
Pricing Comparison
Seeq Pricing
Sisense 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
Sisense
Pros
- Handles large, complex datasets from multiple sources efficiently
- Excellent embedding capabilities for customer-facing applications
- Intuitive drag-and-drop interface for building dashboards
- Fast implementation compared to traditional BI tools
- Strong customer support and active user community
Cons
- Custom pricing can be expensive for smaller companies
- Mobile application experience is less robust than desktop
- Advanced customization requires knowledge of JavaScript or SQL