Spark NLP

Spark NLP

John Snow Labs
Spark Streaming

Spark Streaming

Apache Software Foundation
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About

Experience the power of large language models like never before, unleashing the full potential of Natural Language Processing (NLP) with Spark NLP, the open source library that delivers scalable LLMs. The full code base is open under the Apache 2.0 license, including pre-trained models and pipelines. The only NLP library built natively on Apache Spark. The most widely used NLP library in the enterprise. Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. They allow multiple chained transformations along a machine-learning task.

About

Spark Streaming brings Apache Spark's language-integrated API to stream processing, letting you write streaming jobs the same way you write batch jobs. It supports Java, Scala and Python. Spark Streaming recovers both lost work and operator state (e.g. sliding windows) out of the box, without any extra code on your part. By running on Spark, Spark Streaming lets you reuse the same code for batch processing, join streams against historical data, or run ad-hoc queries on stream state. Build powerful interactive applications, not just analytics. Spark Streaming is developed as part of Apache Spark. It thus gets tested and updated with each Spark release. You can run Spark Streaming on Spark's standalone cluster mode or other supported cluster resource managers. It also includes a local run mode for development. In production, Spark Streaming uses ZooKeeper and HDFS for high availability.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Healthcare providers seeking a library to manage their machine learning models and pipelines

Audience

Real-Time Data Streaming solution for businesses

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

John Snow Labs
United States
sparknlp.org

Company Information

Apache Software Foundation
Founded: 1999
United States
spark.apache.org/streaming/

Alternatives

MLlib

MLlib

Apache Software Foundation

Alternatives

ksqlDB

ksqlDB

Confluent
Apache Spark

Apache Spark

Apache Software Foundation
Samza

Samza

Apache Software Foundation
Apache Mahout

Apache Mahout

Apache Software Foundation
Apache Spark

Apache Spark

Apache Software Foundation
MLlib

MLlib

Apache Software Foundation

Categories

Categories

Integrations

Apache Spark Supported
ALBERT Supported
APIFuzzer Supported
BERT Supported
Conda Supported
Databricks Supported
ELMO Supported
Facebook Supported
Flair Supported
Java Supported
OpenAI Supported
OpenAI Whisper Supported
Python Supported
R Supported
RoBERTa Supported
Scala Supported
T5 Supported
TensorFlow Supported
XLNet Supported
spaCy Supported

Integrations

Apache Spark Supported
ALBERT Not Supported
APIFuzzer Not Supported
BERT Not Supported
Conda Not Supported
Databricks Not Supported
ELMO Not Supported
Facebook Not Supported
Flair Not Supported
Java Not Supported
OpenAI Not Supported
OpenAI Whisper Not Supported
Python Not Supported
R Not Supported
RoBERTa Not Supported
Scala Not Supported
T5 Not Supported
TensorFlow Not Supported
XLNet Not Supported
spaCy Not Supported
Claim Spark NLP and update features and information
Claim Spark NLP and update features and information
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