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WhaleOps WhaleStudio

By: 白鲸开源 Latest Version: v 2.6
Linux/Unix
Linux/Unix

Product 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!

Version

v 2.6

Operating System

Linux/Unix, Amazon Linux 2019_01

Delivery Methods

  • Amazon Machine Image

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