Sold by: WhaleOps
Deployed on AWS
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High-performance data integration expert powered by Apache Seatunnel. Unifies CDC, real-time, and batch data synchronization with 290+ ETL connectors.
Overview
WhaleTunnel provides a mature solution for enterprise usage dilemma in data integration scenarios such as multiple data sources with incompatible versions, difficulty in separate management and maintenance of batch stream services, and high data processing latency. At the same time, the self-developed engine solves the problems of large fault tolerance granularity, serious waste of resources, unstable data sources caused by too many JDBC connections, and does not support table structure changes and data caching in the synchronization process, so as to meet the usage requirements of data consumers more quickly, efficiently and accurately. It supports hundreds of data sources including cloud databases, and can meet the synchronization scenarios of batch, real-time, and CDC at the same time, and can seamlessly integrate data scheduling products into DataOps processes.
Highlights
- 290 PLUS UNIFIED CONNECTORS: Supports diverse data sources including SaaS, DB, Data Lakes, IoT, and more.
- REAL TIME AND BATCH UNIFICATION: Unified support for Change Data Capture (CDC) and high throughput offline synchronization.
- HIGH EFFICIENCY DATA TRANSFER: Designed for large scale, high throughput data migration and synchronization.
Details
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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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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
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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
Access the application via a browser at http://<public_dns>:12345/dolphinscheduler. Default username is "user" and password is EC2 instance id. To connect to the operating system, use SSH and the username ec2-user.
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.
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AI generated from product descriptions
Data Source Connectivity
Supports 290+ unified connectors across diverse data sources including SaaS platforms, databases, data lakes, IoT systems, and cloud databases.
Change Data Capture and Synchronization
Unified support for Change Data Capture (CDC), real-time data synchronization, and batch data synchronization within a single platform.
High-Throughput Data Transfer
Designed for large-scale, high-throughput data migration and synchronization with optimized performance for enterprise-scale operations.
Self-Developed Processing Engine
Custom-built engine with improved fault tolerance granularity, resource optimization, connection pooling efficiency, and support for table structure changes and data caching during synchronization.
Data Scheduling Integration
Seamless integration with data scheduling products and DataOps processes for unified workflow management.
Real-time Data Capture
Scalable capture from Kinesis, databases using CDC, and SaaS applications
Streaming SQL Transformation
Data transformation using streaming SQL with scalable and cost-effective processing
Multi-destination Materialization
Materialization of transformed data to warehouses (Redshift, Snowflake), vector databases, search systems, and NoSQL stores
Change Data Capture
Scalable CDC technology for capturing data changes from databases
Data Pipeline Orchestration
Managed real-time data pipeline orchestration for capture, transformation, and materialization workflows
Pre-built Connector Library
Includes more than 600 out-of-the-box connectors for APIs, databases, and files that can be adapted to specific requirements.
Custom Connector Development
Supports creation of custom connectors using low-code/no-code interfaces and AI Connector Builder for rapid development.
Flexible Replication Modes
Supports full-refresh, incremental, and log-based Change Data Capture (CDC) replication configurations across all destinations.
Multi-destination Data Movement
Enables data synchronization from various sources to data warehouses, data lakes, and other destinations.
Infrastructure Control and Deployment Options
Provides deployment flexibility with cloud and on-premise options, offering complete control and data sovereignty over infrastructure.
Standard contract
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