Microsoft SQL Server |
87% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more 
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79% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more 
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| Description | Sigma is the next-generation of analytics for cloud data warehouses with a familiar spreadsheet-like interface that gives business experts the power to ask any question of their data no matter the query. When users take action in Sigma’s spreadsheet-like UI, Sigma automatically translates them into perfect SQL. All queries are run live against the cloud data warehouse, and the results are passed back to Sigma. Analyze data using Sigma’s familiar spreadsheet-like UI and formulas, and let Sigma do the rest. Sigma auto-translates all front-end actions into perfect SQL on the back-end. Unlike legacy BI and analytics tools, Sigma never moves, stores, caches, or copies your data. Say goodbye to data extracts and give teams complete yet secure access to insights. Read more | KNIME Analytics Platform is an open-source software for creating appropriate data science workflows as per need. Continuously integrating new developments, KNIME makes reusable components accessible to everyone. The platforms intuitive and open interface makes it easy for developers to understand data and design workflows, accordingly. Also, KNIME Hub offered by the same makes it easy for users to drag and drop nodes and components as per choice, without the need for coding. Furthermore, with this software developers can model each step of their data analysis, control the data related workflow of data and ensure that their work is always up to date. With the platform’s native nodes, developers can blend tools from different domains into a single workflow which includes scripting in R & Python, machine learning or connectors to Apache Spark. KNIME Analytics Platform also comes supportive of simple text formats like PDF, CSV, XML, XLS, unstructured data types (documents, networks, images) or time-series data for users to open and combine. Also, this software hosts a series of databases and data warehouses which allows users to connect data from Microsoft SQL, Oracle, Snowflake, Apache Five and more. Read more |
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| SW Score & Breakdown |
87% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
|
79% SW Score The SW Score ranks the products within a particular category on a variety of parameters, to provide a definite ranking system. Read more
|
| Total Features |
8 Features
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2 Features
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| Common Features for All |
Ad hoc Reports
Benchmarking
Dashboard
Data Analysis
Key Performance Indicators
Profitability Analysis
Strategic Planning
Trend Indicators
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Ad hoc Reports
Benchmarking
Dashboard
Data Analysis
Key Performance Indicators
Profitability Analysis
Strategic Planning
Trend Indicators
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| User Sentiments |
Excellent Customer Support, Intuitive Spreadsheet-like Interface, Fast Data Processing Speed, Seamless Snowflake Integration Limited Visualization Options, Occasional Slow Loading Times, Limited Data Export Functionality, Steep Learning Curve for Advanced Features |
Drag and Drop Interface, Open Source Software, Extensive Data Mining Capabilities, Easy Data Integration Steep Learning Curve, Limited Data Visualization, Slow Performance with Large Datasets, Limited Customer Support |
| Review Summary |
Users praise Sigma for its user-friendly interface, ease of use, and ability to provide valuable insights and visualizations. They appreciate the platform's flexibility, customization options, and the ability to integrate with various data sources. Reviewers also highlight Sigma's excellent customer support, noting the responsiveness and helpfulness of the support team. Additionally, users value Sigma's affordability and pricing transparency compared to similar products. However, some reviewers mention occasional bugs and glitches, the need for improved documentation, and the desire for more advanced features and capabilities. |
KNIME Analytics Platform is praised for its intuitive drag-and-drop interface, which simplifies data analysis and automation for both beginners and experienced users. Its ability to handle complex data sets and seamlessly integrate with various data sources, including Excel and databases, is highly valued. However, users often highlight a steep learning curve, especially for novices, and some mention performance issues when processing large data volumes. While the platform is considered powerful, some users wish for more advanced visualization and reporting capabilities. Despite these drawbacks, KNIME remains a popular choice for data mining, machine learning tasks, and building robust data pipelines. |
| Read All User Reviews | Read All User Reviews |
AI-Generated from the text of User Reviews
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Sigma Custom |
KNIME Analytics Platform Custom |
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View Detailed Pricing
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View Detailed Pricing
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| Screenshots | Not Available |
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| Videos |
+ 2 More
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| Company Details | Located in: San Francisco, California Founded in: 2014 | Located in: Austin, Texas |
| Contact Details |
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