Sold by: WhaleOpsÂ
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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Content disclaimer
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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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By Estuary
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In Data Integration
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In ELT/ETL, Streaming solutions
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AI generated from product descriptions
Data Source Connectivity
Supports 290+ ETL connectors across diverse data sources including cloud databases, SaaS, data lakes, and IoT platforms
Data Integration Paradigms
Unified support for Change Data Capture (CDC), real-time, and batch data synchronization methodologies
Data Processing Engine
Self-developed engine with enhanced fault tolerance, resource optimization, and support for dynamic table structure changes
Synchronization Performance
Designed for large-scale, high-throughput data migration with optimized data transfer capabilities
Connector Compatibility
Handles multiple data sources with incompatible versions and supports seamless integration across heterogeneous data environments
Data Capture Mechanism
Supports scalable real-time data capture from multiple sources including Kinesis, databases, and SaaS applications using Change Data Capture (CDC)
Streaming Transformation
Enables data transformation using streaming SQL with scalable processing capabilities
Multi-Destination Materialization
Supports data materialization to diverse destinations including data warehouses, vector databases, search systems, and NoSQL stores
Real-Time Processing
Provides continuous, low-latency data pipeline processing with streaming architecture
Source Connectivity
Offers comprehensive integration capabilities across different data sources and systems using native connectors
Data Integration Platform
Open-source platform supporting extraction, loading, and transformation of data from multiple sources
Connector Ecosystem
Comprehensive library with over 600 pre-built connectors for APIs, databases, and file systems
Replication Strategies
Supports full-refresh, incremental, and log-based change data capture (CDC) synchronization methods
Deployment Flexibility
Supports cloud and on-premise infrastructure with complete control and data sovereignty
Connector Development
Low-code/no-code and AI-powered connector builder for rapid custom connector creation
Standard contract
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