Sparkflows: NextGen Self-Service Analytics & Data Science Platform
Sparkflows.io
Price: Typical Total Price$0.954/hrTotal pricing per instance for services hosted on r5.2xlarge in US East (N. Virginia). View Details
Free TrialProduct Overview
Sparkflows is a Self-Serve Enterprise product for AI/ML.Sparkflows provides a workflow editor with 350+ processors for performing the tasks. You can run it easily on a standalone Linux machine or on an EMR cluster.Few Salient Features:Perform AI/ML including Regression, Classification, Clustering in minutes.Leverage 350+ processors to build workflows and perform AnalyticsRead various file formats, perform various transformations, Dedup, store results to S3, Hive, ElasticSearch etc..Write custom code using SQL, Scala, Python nodes in the middle of a pipelineBuild & Test Machine Learning models on Big Data InstantlyRapidly build & deploy Streaming Applications using Kafka and Spark StreamingSubmit the Job on EMR LivySubmit the Job on AWS Glue
Version: Sparkflows_3.2.1
By: Sparkflows.io
Categories: Application Development
Business Intelligence & Advanced Analytics
ML Solutions
Operating System
Linux/Unix, Amazon Linux 4.x
Delivery Methods
Amazon Machine Image
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Highlights: A single platform for your Advanced Analytics needs with 350+ pre-packaged drag and drop processors to simplify your Data Science project execution. Minimizes coding effort by providing a visual interface for building data pipelines and machine learning models. Sparkflows enables push down analytics, as a result of which the processing happens where the data resides resulting in easy data governance.
Category: Infrastructure Software
Delivery Method: Amazon Machine Image
Company Information
Company Name: Sparkflows.io
About Company: Sparkflows is a big data application platform that makes it easy for organizations to provide Spark as a Service for internal users. Sparkflows is pre-packaged with an exhaustive list of Machine Learning and ETL building blocks, drastically reducing the time to value to take new big data use cases to market.