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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

ONNX provides a standardized collection of operators that serve as the foundational elements for machine learning and deep learning models, along with a unified file format that allows AI developers to implement models across a range of frameworks, tools, runtimes, and compilers. You can create in your desired framework without being concerned about the implications for inference later on. With ONNX, you have the flexibility to integrate your chosen inference engine seamlessly with your preferred framework. Additionally, ONNX simplifies the process of leveraging hardware optimizations to enhance performance. By utilizing ONNX-compatible runtimes and libraries, you can achieve maximum efficiency across various hardware platforms. Moreover, our vibrant community flourishes within an open governance model that promotes transparency and inclusivity, inviting you to participate and make meaningful contributions. Engaging with this community not only helps you grow but also advances the collective knowledge and resources available to all.

Description

Deploy machine learning applications in just minutes instead of taking months. Streamline the conversion of raw data, create training datasets, and deliver features for scalable online inference effortlessly. By replacing custom data pipelines with reliable automated pipelines, you can save significant time and effort. Boost your team's productivity by enabling the sharing of features across the organization while standardizing all your machine learning data workflows within a single platform. With the ability to serve features at massive scale, you can trust that your systems will remain operational consistently. Tecton adheres to rigorous security and compliance standards. Importantly, Tecton is not a database or a processing engine; instead, it integrates seamlessly with your current storage and processing systems, enhancing their orchestration capabilities. This integration allows for greater flexibility and efficiency in managing your machine learning processes.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon EMR No 
Amazon ElastiCache No 
Amazon Redshift No 
Amazon S3 No 
Apache Kafka No 
Cirrascale Yes 
Delta Lake No 
Flyte Yes 
Intel Open Edge Platform Yes 
LaunchX Yes 
ML.NET Yes 
PySpark No 
Qualcomm AI Hub Yes 
Qualcomm Cloud AI SDK Yes 
Redis No 
SQL No 
SiMa Yes 
Snowflake No 
TensorFlow No 
Unity Catalog No 

Integrations

Amazon EMR Yes 
Amazon ElastiCache Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Kafka Yes 
Cirrascale No 
Delta Lake Yes 
Flyte No 
Intel Open Edge Platform No 
LaunchX No 
ML.NET No 
PySpark Yes 
Qualcomm AI Hub No 
Qualcomm Cloud AI SDK No 
Redis Yes 
SQL Yes 
SiMa No 
Snowflake Yes 
TensorFlow Yes 
Unity Catalog Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

ONNX

Website

onnx.ai/

Vendor Details

Company Name

Tecton

Founded

2019

Country

United States

Website

www.tecton.ai/

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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