Sold by: WhaleOpsÂ
Deployed on AWS
Free Trial
WhaleScheduler is an easy-to-use, low-code data scheduling product. It provides a more powerful scheduling engine, dozens of scheduling job types, a simple IDE editing interface, rich scheduling and operation functions, scheduling lineage analysis
Overview
WhaleScheduler is a commercial version of high-performance distributed, easy-to-use, low-code data scheduling product created by the core team of Apache DolphinScheduler. It provides a more powerful scheduling engine, dozens of scheduling job types, simple IDE editing interface, rich scheduling and running functions, scheduling lineage analysis, operation and maintenance monitoring and enterprise-level permission control. It has been widely used in actual business in many industries, can meet complex scheduling scenarios such as finance, telecommunications, retail, and the Internet, and supports multiple fields such as databases, cloud, big data, AI, MLOps, etc., helping enterprises to quickly improve data development efficiency.
Highlights
- workflow
- orchestration
- workflow orchestration
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023.09.20
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 15 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.
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 covers 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.
Dimension | Cost/hour |
|---|---|
c5.2xlarge Recommended | $5.79 |
c4.4xlarge | $1.74 |
c5.xlarge | $3.82 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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)Â .
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.
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
Security Fix: Disabled HTTP/2 by default to mitigate CVE-2023-44487 vulnerability.
Additional details
Usage instructions
- Launch the product via CloudFormation
- Access the application via a browser at http://<public_dns>:12345/dolphinscheduler.
- Sign in using the following credentials:
- Default admin username is "user" and password is EC2 instance id.
- After you login success, you can change the password and create new user.
When using CloudFormation to delivery, WhaleScheduler will create below resources:
-
Logical ID(s): S3User
- Type: AWS::IAM::User
- UserName: ${AWS::StackName}-user-s3
- PolicyName: ${AWS::StackName}-s3-policy
- Action:
- 's3:List*'
- 's3:Get*'
- 's3:Put*'
- 's3:Delete*'
- 's3:Abort*'
- 's3:Restore*'
- 's3:Create*'
- 's3:Replicate*'
- 's3:Update*'
- 's3:Describe*'
- Resource: '*' Purpose: WhaleScheduler will use S3 as resource center to store the resource file which uploaded by users.
-
Logical ID(s): S3UserKeys
- Type: AWS::IAM::AccessKey
- UserName: !Sub ${AWS::StackName}-user-s3 Purpose: WhaleScheduler will use use this key to connect s3.
Resources
Vendor resources
Support
Vendor support
Please allow 24 hours contact service@whaleops.com for support
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.
Updated weekly
By WhaleOps
By BMC Software
By BMC Software Distribution B.V.
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Workflow Orchestration
Distributed scheduling system supporting multiple job types across databases, cloud, big data, AI, and MLOps platforms
Job Scheduling Engine
Advanced scheduling engine with support for complex scheduling scenarios and multiple execution environments
IDE Interface
Low-code editing interface with visual workflow design and configuration capabilities
Scheduling Lineage Analysis
Comprehensive tracking and analysis of workflow dependencies and execution paths
Permission Management
Enterprise-level access control and permission configuration for workflow and scheduling resources
Workflow Orchestration
Supports complex application workflow orchestration across on-premises, private, and public cloud environments
Infrastructure Integration
Provides a comprehensive library of plug-ins for integrating file transfers, applications, data sources, and infrastructure components
DevOps Automation
Implements Jobs-as-Code approach using REST APIs and JSON for versionable, testable, and collaborative workflow management
Hybrid Environment Support
Enables workflow management across multiple computing platforms, including mainframe and multi-cloud infrastructures
Observability and Analytics
Offers intelligent predictive analytics and comprehensive reporting for in-depth workflow monitoring and performance tracking
Workflow Orchestration
Supports complex application and data workflow orchestration across hybrid and multi-cloud environments using a unified management approach
Infrastructure Integration
Provides extensive plug-in library for integrating file transfers, applications, data sources, and infrastructure components
DevOps Automation
Implements Jobs-as-Code approach with REST APIs and JSON for workflow versioning, testing, and collaborative development within CI/CD pipelines
Cloud Provisioning
Leverages ephemeral compute services capabilities for flexible cloud-based workflow deployment and management
Mainframe Modernization
Integrates with AWS Mainframe Modernization Service to support enterprise legacy system transformation initiatives
Standard contract
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