Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • dbt Reviews & Ratings
    203 Ratings
    Company Website
  • Dragonfly Reviews & Ratings
    16 Ratings
    Company Website
  • Greatmail Reviews & Ratings
    5 Ratings
    Company Website
  • DataBuck Reviews & Ratings
    6 Ratings
    Company Website
  • JS7 JobScheduler Reviews & Ratings
    1 Rating
    Company Website
  • Ant Media Server Reviews & Ratings
    220 Ratings
    Company Website
  • ScalaHosting Reviews & Ratings
    2,269 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    60,421 Ratings
    Company Website
  • Pipeliner CRM Reviews & Ratings
    740 Ratings
    Company Website
  • Ango Hub Reviews & Ratings
    15 Ratings
    Company Website

What is Yandex Data Proc?

You decide on the cluster size, node specifications, and various services, while Yandex Data Proc takes care of the setup and configuration of Spark and Hadoop clusters, along with other necessary components. The use of Zeppelin notebooks alongside a user interface proxy enhances collaboration through different web applications. You retain full control of your cluster with root access granted to each virtual machine. Additionally, you can install custom software and libraries on active clusters without requiring a restart. Yandex Data Proc utilizes instance groups to dynamically scale the computing resources of compute subclusters based on CPU usage metrics. The platform also supports the creation of managed Hive clusters, which significantly reduces the risk of failures and data loss that may arise from metadata complications. This service simplifies the construction of ETL pipelines and the development of models, in addition to facilitating the management of various iterative tasks. Moreover, the Data Proc operator is seamlessly integrated into Apache Airflow, which enhances the orchestration of data workflows. Thus, users are empowered to utilize their data processing capabilities to the fullest, ensuring minimal overhead and maximum operational efficiency. Furthermore, the entire system is designed to adapt to the evolving needs of users, making it a versatile choice for data management.

What is Spark NLP?

Explore the groundbreaking potential of large language models as they revolutionize Natural Language Processing (NLP) through Spark NLP, an open-source library that provides users with scalable LLMs. The entire codebase is available under the Apache 2.0 license, offering pre-trained models and detailed pipelines. As the only NLP library tailored specifically for Apache Spark, it has emerged as the most widely utilized solution in enterprise environments. Spark ML includes a diverse range of machine learning applications that rely on two key elements: estimators and transformers. Estimators have a mechanism to ensure that data is effectively secured and trained for designated tasks, whereas transformers are generally outcomes of the fitting process, allowing for alterations to the target dataset. These fundamental elements are closely woven into Spark NLP, promoting a fluid operational experience. Furthermore, pipelines act as a robust tool that combines several estimators and transformers into an integrated workflow, facilitating a series of interconnected changes throughout the machine-learning journey. This cohesive integration not only boosts the effectiveness of NLP operations but also streamlines the overall development process, making it more accessible for users. As a result, Spark NLP empowers organizations to harness the full potential of language models while simplifying the complexities often associated with machine learning.

Media

Media

Integrations Supported

Apache Spark
Python
TensorFlow
APIFuzzer
Apache Flume
Apache HBase
Apache Zeppelin
Conda
Facebook
Java
Matplotlib
Scala
T5
Whisper
XLNet
Yandex Cloud
Yandex DataSphere
pandas
scikit-image
spaCy

Integrations Supported

Apache Spark
Python
TensorFlow
APIFuzzer
Apache Flume
Apache HBase
Apache Zeppelin
Conda
Facebook
Java
Matplotlib
Scala
T5
Whisper
XLNet
Yandex Cloud
Yandex DataSphere
pandas
scikit-image
spaCy

API Availability

Has API

API Availability

Has API

Pricing Information

$0.19 per hour
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Yandex

Date Founded

1997

Company Location

Russia

Company Website

cloud.yandex.com/en/services/data-proc

Company Facts

Organization Name

John Snow Labs

Company Location

United States

Company Website

sparknlp.org

Categories and Features

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Popular Alternatives

Amazon MWAA Reviews & Ratings

Amazon MWAA

Amazon

Popular Alternatives

Haystack Reviews & Ratings

Haystack

deepset
InstructGPT Reviews & Ratings

InstructGPT

OpenAI