Analance vs KNIME comparison

Combining Data Science, Business Intelligence, and Data Management Capabilities in One Integrated, Self-Serve Platform.

Analance is a robust, scalable end-to-end platform that combines Data Science, Business Intelligence, and Data Management into one integrated self-serve platform. It is built to deliver core analytical processing power to ensure data insights are accessible to everyone, performance remains consistent as the system grows, and business objectives are continuously met within a single platform. Analance is focused on turning quality data into accurate predictions allowing both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding.

THE ANALANCE PLATFORM:

• Delivers an end-to-end enterprise analytics platform with a strong focus on turning quality data into accurate predictions from one integrated self-serve platform.
• Provides a platform for both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding.
• Offers an intuitive UI with guided workflows to enable both data scientists and citizen data scientists to master the platform in minutes.
• Unifies multiple tools required for data analysis into one integrated platform to deliver insights with accuracy and quality.

Product Capabilities

• Analance Data Management (ADM): Extract, Transform and Load (ETL) tool to clean and transform data for analysis.
• Analance Advanced Analytics (AAA): Predict based on trained Machine Learning (ML) Models.
• Analance Business Intelligence (ABI): Deploy trained models from AAA into ABI for visualizations.
• Analance Internet of Things (AIoT): Connect to streaming sources for real-time analytics and visualization.
• Analance Artificial Intelligence (AAI): Next generation inference engine for prescriptive analytics.

Key Features:

• Get a demo of Analance or take it for a 30-day test drive.
• Seamless Data Integration
• Data Cleaning and Transformation
• Predictive Analytics and Trends
• Real-time Analytics
• Prescriptive Analytics
• Text and Sentiment Analytics
• Social Analytics
• Business Intelligence and Reporting
• Interactive Visualization
• Self-Serve Capability
• Sign-Sign On to Access All Platforms within Analance

Specifications

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Company & Product – Overview

Ducen IT helps Business and IT users of Fortune 1000 companies with advanced analytics, business intelligence and data management through its unique end-to-end data science platform called Analance. Analance is an enterprise-class, state of the art integrated platform that delivers power and ease of use to business users and data scientists with a seamless experience and platform scalability to support business growth and strategy.

Get a demo of Analance or take it for a 30-day test drive.

Website:

https://analance.ducenit.com/

KNIME is an open-source analytics software used for creating data science that is built on a GUI based workflow, eliminating the need to know code. The solution has an inherent modular workflow approach that documents and stores the analysis process in the same order it was conceived and implemented, while ensuring that intermediate results are always available. 

KNIME supports Windows, Linux, and Mac operating systems and is suitable for enterprises of all different sizes. With KNIME, you can perform functions ranging from basic I/O to data manipulations, transformations and data mining. It consolidates all the functions of the entire process into a single workflow. The solution covers all main data wrangling and machine learning techniques, and is based on visual programming.

KNIME Features

KNIME has many valuable key features. Some of the most useful ones include:

• Scalability through data handling (intelligent automatic caching of data in the background while maximizing throughput performance)
• High extensibility via a well-defined API for plugin extensions
• Intuitive user interface
• Import/export of workflows
• Parallel execution on multi-core systems
• Command line version for "headless" batch executions
• Activity dashboard
• Reporting & statistics
• Third-party integrations
• Workflow management
• Local automation
• Metanode linking
• Tool blending
• Big Data extensions

KNIME Benefits

There are many benefits to implementing KNIME. Some of the biggest advantages the solution offers include:

• Integrated Deployment: KNIME’s integrated deployment moves both the selected model, and the entire data model preparation process into production simply and automatically, allowing for continuous optimization in production and also saving time because it eliminates error.

• Elastic and Hybrid Execution: KNIME’s elastic and hybrid executions helps you reduce costs while covering periods of high demand, dynamically.

• Metadata Mapping: KNIME enables complete metadata mapping of all aspects of your workflow. In addition, KNIME offers blueprint workflows for documenting the nodes, data sources, and libraries used, as well as runtime information.

• Guided Analytics: KNIME’s guided analytics applications can be customized based on reusable components.

• Powerful analytics, local automation, and workflow difference: KNIME uses advanced predictive and machine learning algorithms to provide you with the analytics you need. In combination with powerful analytics, KNIME’s automation capabilities and workflow difference prepare your organization with the tools you need to make better business decisions.

• Supports enterprise-wide data science practices: The deployment and management functionalities of KNIME make it easy to productionize data science applications and services, and deliver usable, reliable, and reproducible insights for the business.

• Helps you leverage insights gained from your data: Using KNIME ensures the data science process immediately reflects changing requirements or new insights.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the KNIME solution.

An Emeritus Professor at a university says, “It can read many different file formats. It can very easily tidy up your data, deleting blank rows, and deleting rows where certain columns are missing. It allows you to make lots of changes internally, which you do using JavaScript to put in the conditional. It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured.”

Benedikt S., CEO at SMH - Schwaiger Management Holding GmbH, explains, “All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function. Technical support has been extremely responsive so far. The solution has a very strong and supportive community that shares information and helps each other troubleshoot. The solution is very stable. The initial setup is pretty simple and straightforward.”

Piotr Ś., Test Engineer at ProData Consult, says, “What I like the most is that it works almost out of the box with Random Forest and other Forest nodes.”