Sold by: WhaleOpsÂ
Deployed on AWS
Focuses on unified task scheduling and operations for enterprise big data, powered by Apache DolphinScheduler. Addresses complex dependencies, advanced monitoring, and enterprise-grade stability.
Overview
WhaleScheduler is designed to provide enterprises with a high-performance, highly reliable, and easy-to-operate big data workflow scheduling solution powered by Apache DolphinScheduler. It offers a unified scheduling core capable of centrally managing and orchestrating all types of big data tasks, completely resolving the issues of fragmented tasks and complex dependency management. We enhance pipeline reliability and reduce operational risks through advanced monitoring, alerting, and manual intervention capabilities, ensuring the timely delivery of critical business data.
Explore our flexible product tiers tailored to your scale: Basic(current): Ideal for users starting out, supporting up to 500 DAGs and 5,000 tasks.
Enterprise(BYOL): Designed for expanding teams, supporting 4,000 DAGs and 10,000 tasks. Features increased performance and advanced security.
High Volume(BYOL): Built for the most demanding workloads, offering 12,000 DAGs and 30,000 tasks in total. Includes advanced configurability for unique hybrid and business needs.
Highlights
- Visual, Drag& Drop Design: A drag and drop interface that enables both engineers and data analysts to build complex ETL pipelines or Task Orchestration.
- Rich Task Ecosystem and Connectors: Supports 30 plus task types(SQL, Shell, Python, java, etc.) and 290 plus data sources (databases, SaaS, data lakes, etc.) out of the box, allowing fast orchestration & integration.
- Deep Observability and Runtime Control: Enhanced monitoring, alerting, and manual intervention capabilities make it easy to ensure pipeline reliability and reduce operational risk.
Details
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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
Pricing is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
- Monthly subscription
- $2,800.00/month
Dimension | Cost/hour |
|---|---|
m5.2xlarge Recommended | $4.00 |
m6i.2xlarge | $4.00 |
Vendor refund policy
Refunds are not currently available.
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
We've launched new features.
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.
Support
Vendor support
mailto:service@whaleops.comÂ
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.
Similar products
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
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