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85% 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 | The enterprise-grade data processing engines used by Qubole, a fully self-service multi-cloud data platform, include Apache Spark, Presto, Hive, Quantum, Airflow, and more. To reduce administrative burden, it automatically configures, manages, and optimises cloud resources while balancing cost, workloads, and performance requirements. It employs a multi-layer strategy to safeguard the availability, confidentiality, and integrity of consumer information. It provides the industry's most cutting-edge big data financial governance. It has a vast list of features such as - Construction of machine learning models, Faster Data Scientific model development, deployment, and iteration can be accelerated by: Trial Monitoring, Front end tool integrations out of the box include RStudio, H2O.ai, and Data robot, Schedulers and Airflow-anchored End-to-End Workflows, Managed Notebooks - Offline (Serverless) Editing. One of its most beneficial features is Automated Infrastructure Provisioning - automatically reduce costs while accommodating an increase in concurrent users without affecting performance. No matter how many users or model versions there are, the management overhead should be almost nil. Automatically scale up or down to accommodate all workloads at any given time. Ecosystem partners like Rstudio, Google Cloud, Amazon SageMaker. 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 |
85% 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 |
5 Features
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2 Features
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| Common Features for All |
Ad hoc Analysis
Ad hoc Reports
Dashboard
Data Analysis
Key Performance Indicators
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Ad hoc Analysis
Ad hoc Reports
Dashboard
Data Analysis
Key Performance Indicators
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| User Sentiments |
Easy to Use Interface, Extensive Big Data Tool Integration, Fast Data Processing, Excellent Customer Support Unstable Notebook Functionality, Occasional Slow Performance, Lack of Advanced Visualization Tools, Occasional Software Bugs |
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 |
Qubole garners positive feedback for its user-friendly interface, ease of use, and the ability to efficiently handle large datasets. Users appreciate its scalability, flexibility, and support for various data sources and formats. The platform's data processing capabilities and machine learning integration are also praised. However, some reviewers express concerns regarding its pricing and occasional performance issues. Additionally, the need for technical expertise for certain tasks and the complexity of some features are mentioned as areas for improvement. |
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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Free Test Drive Free Qubole Data Platform - Enterprise Edition $0.14 $0.14 |
KNIME Analytics Platform Custom |
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View Detailed Pricing
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View Detailed Pricing
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| Screenshots |
+ 1 More
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| Videos |
+ 3 More
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| Company Details | Founded in: 2011 | Located in: Austin, Texas |
| Contact Details |
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