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What is Lucidworks Fusion?

Fusion converts isolated data into distinctive insights tailored for individual users. Lucidworks Fusion empowers clients to effortlessly implement AI-driven search and data discovery solutions within a contemporary, containerized cloud-native framework. Data scientists have the capability to engage with these applications by leveraging their existing machine learning models. Additionally, they can swiftly develop and implement new models using widely-used tools such as Python ML and TensorFlow. Managing Fusion cloud deployments is not only simpler but also carries reduced risks. Lucidworks has revamped Fusion by employing a cloud-native microservices architecture that is orchestrated and overseen by Kubernetes, enhancing its overall functionality. This allows clients to dynamically adjust their application resources in accordance with usage fluctuations, thereby minimizing the complexities associated with deploying and upgrading Fusion. Furthermore, Fusion plays a crucial role in preventing unexpected downtime and maintaining optimal performance levels. It natively supports Python machine learning models and facilitates the integration of custom ML models, ensuring versatility in data processing. This comprehensive approach ultimately enhances the user experience and maximizes the utility of the data at hand.

What is Datatron?

Datatron offers a suite of tools and features designed from the ground up to facilitate the practical implementation of machine learning in production environments. Many teams discover that deploying models involves more complexity than simply executing manual tasks. With Datatron, you gain access to a unified platform that oversees all your machine learning, artificial intelligence, and data science models in a production setting. Our solution allows you to automate, optimize, and expedite the production of your machine learning models, ensuring they operate seamlessly and effectively. Data scientists can leverage various frameworks to develop optimal models, as we support any framework you choose to utilize, including TensorFlow, H2O, Scikit-Learn, and SAS. You can easily browse through models uploaded by your data scientists, all accessible from a centralized repository. Within just a few clicks, you can establish scalable model deployments, and you have the flexibility to deploy models using any programming language or framework of your choice. This capability enhances your model performance, leading to more informed and strategic decision-making. By streamlining the process of model deployment, Datatron empowers teams to focus on innovation and results.

Media

Media

Integrations Supported

Canopy
FindTuner
Google Cloud Discovery AI

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform
H2O.ai
Hadoop
Microsoft Azure
MySQL
PostgreSQL
SAS Asset Performance Analytics
Salesforce
TensorFlow
Teradata VantageCloud
Wipro Promax

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lucidworks

Date Founded

2007

Company Location

United States

Company Website

lucidworks.com

Company Facts

Organization Name

Datatron

Date Founded

2016

Company Location

United States

Company Website

www.datatron.com/platform/

Categories and Features

eCommerce Search

Not specified

Enterprise Search

AI / Machine Learning
Full Text Search
Indexing

Insight Engines

Not specified

Site Search

Not specified

Categories and Features

AI Governance

Not specified

Machine Learning

Not specified

Model Risk Management

Not specified

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