
WhaleOps WhaleStudio
Overview
WhaleStudio is a next-generation data integration and scheduling platform built for enterprise-level scenarios. Based on the core capabilities of Apache DolphinScheduler and SeaTunnel, it provides a commercial scheduling and synchronization engine, connector ecosystem and visual development tools to achieve high-performance, codeless connection and synchronization to 250+ data sources, and is widely used in key scenarios such as data centers, real-time data warehouses, AI data streams, and data lakes.
Product features
Strong connectivity: Built-in 250+ data source connectors cover mainstream databases, big data platforms, message queues, object storage, SaaS services, SAP, etc., and supports two-way data flow synchronization. Scheduling is orchestration: Inherits the powerful scheduling capabilities of Apache DolphinScheduler, and also supports advanced commercial task orchestration such as complex dependencies, calendar scheduling, DataOps processes, permission management, and resource isolation. Real-time and offline integration: The SeaTunnel streaming batch function provides a visual operation interface, supports the construction of low-latency real-time tasks and stable offline batch tasks, and can respond flexibly to various data scenarios. Pure graphical design experience: By providing a WYSIWYG graphical development interface, you can build a complete data synchronization and scheduling process. Intelligent monitoring and alerting: Built-in full-link task monitoring, execution log query, operation status visualization, and support alarm configuration, exception notification, index collection and audit tracking. Open and expandable: Provides standardized plug-in mechanisms and API interfaces to facilitate enterprises to carry out secondary development and system integration, and adapt to various business systems and data platforms.
Applicable scenarios Build an enterprise-level data center to achieve unified data collection, cleaning, aggregation and scheduling Build a real-time data bus to achieve low latency data synchronization between multiple sources and heterogeneous systems Build an AI data pipeline to help quickly collect and distribute model training data Upgrade to traditional ETL tools such as Informatica, Talend, FiveTran, etc., to reduce costs and improve efficiency
WhaleStudio makes data connections simpler, scheduling smarter, and more efficient delivery. Start your smart data upgrade journey now!
Highlights
- Strong connectivity: Built-in 250+ data source connectors cover mainstream databases, big data platforms, message queues, object storage, SaaS services, SAP, etc., and supports two-way data flow synchronization.
- Scheduling is orchestration: Inherits the powerful scheduling capabilities of Apache DolphinScheduler, and also supports advanced commercial task orchestration such as complex dependencies, calendar scheduling, independent business date management, DataOps processes, permission management, and resource isolation.
- Real-time and offline integration: The SeaTunnel streaming batch function provides a visual operation interface, supports the construction of low-latency real-time tasks and stable offline batch tasks, and can respond flexibly to various data scenarios
Details
Pricing
WhaleOps WhaleStudio
Vendor refund policy
The world's leading open source native DataOps platform: https://www.whaleops.com/
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Usage information
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
WhaleScheduler provides a scheduling engine, dozens of scheduling job types, simple IDE editing interface, rich scheduling and operation functions, scheduling lineage analysis, operation and maintenance monitoring, and enterprise-level authority control
Additional details
Usage instructions
Linked to the operating system via ssh, the default username is “ec2-user”. Access the web management interface through a browser https://PublicIP:12345/dolphinscheduler/ui,默认用户名为admin
Resources
Vendor resources
Support
Vendor support
WhaleStudio customer service hotline: 4000868555,
Amazon Web Services infrastructure support
Amazon Web Services 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.