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    Sparkflows: NextGen Self-Service Analytics & Data Science Platform

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    Free Trial
    Sparkflows provides Enterprise to manage the entire lifecycle of a Machine Learning project. It aims at unifying ML System Development and Operations.
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    Sparkflows: NextGen Self-Service Analytics & Data Science Platform

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    Overview

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    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 Analytics
    • Read 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 pipeline
    • Build & Test Machine Learning models on Big Data Instantly
    • Rapidly build & deploy Streaming Applications using Kafka and Spark Streaming
    • Submit the Job on EMR Livy
    • Submit the Job on AWS Glue

    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.

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux 4.x

    Typical total price

    This estimate is based on use of the seller's recommended configuration (r5.2xlarge) in the US East (N. Virginia) Region. View pricing details

    $0.954/hour

    Pricing

    Free trial

    Try this product at no cost for 21 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    Sparkflows: NextGen Self-Service Analytics & Data Science Platform

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (16)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    m3.xlarge
    $0.35
    $0.266
    $0.616
    m3.2xlarge
    $0.35
    $0.532
    $0.882
    m4.large
    $0.35
    $0.10
    $0.45
    m4.xlarge
    $0.45
    $0.20
    $0.65
    m4.2xlarge
    $0.65
    $0.40
    $1.05
    m4.4xlarge
    $0.65
    $0.80
    $1.45
    m4.10xlarge
    $0.65
    $2.00
    $2.65
    m4.16xlarge
    $0.65
    $3.20
    $3.85
    r5.xlarge
    $0.35
    $0.252
    $0.602
    r5.2xlarge
    Recommended
    $0.45
    $0.504
    $0.954

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    Please contact us at support@sparkflows.io  if there is need for refund.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    The latest release has the following new features: Rich metadata of ML models, Data Pipelines via Airflow, Livy integration to submit jobs to clusters (EMR, Airflow etc), Enhanced Data Quality and Data Profiling experience, and many new processors.

    Additional details

    Usage instructions

    Sparkflows is running on port "8080 for http & 8443 for https" when instance is launched. Access it in your browser by going to:

    • http://INSTANCE_PUBLIC_ADDRESS:8080
    • https://INSTANCE_PUBLIC_ADDRESS:8443
    • For HTTPS URL to work, Port HTTPS(443) & 8443 Should be open Login with below to get started:

    Resources

    Vendor resources

    Support

    Vendor support

    The Customer Support team is available to assist customers on the installation, getting started or troubleshooting assistance that they might require. Please reach out to support@sparkflows.io  for any assistance or clarifications.

    https://www.sparkflows.io/forum 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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