Sold by: CLOUDBASIX
Deployed on AWS
Free Trial
CloudBasix Zero-ETL automatically ingests and centralizes your data from numerous data sources (including AzureSQL/Managed Instance, Aurora PostgreSQL/MySQL, Amazon RDS, Google CloudSQL, SQL Server), into various targets (including Amazon S3 Data lake, Snowflake, Google cloud BigQuery, Aurora, RDS, CloudSQL).
For more information, visit https://cloudbasic.net/zero-etl
Overview
CloudBasix Zero-ETL automatically ingests and centralizes your data from numerous data sources (including AzureSQL/Managed Instance, Aurora PostgreSQL/MySQL, Amazon RDS, Google CloudSQL, SQL Server), into various targets (including Amazon S3 Data lake, Snowflake, Google cloud BigQuery, Aurora, RDS, CloudSQL).
For more information, visit https://cloudbasic.net/zero-etl
Highlights
- Setup in minutes, no scripting, zero-ELT Data pipelines
- Infrastructure-level security: Cloud-native solution - process data safely inside your infrastructure, ensuring your data stays as secure as the security of your infrastructure. For more information, see https://cloudbasic.net/security
- Always in compliance: Because data moves within your cloud environment, it never leaves your regulatory-compliant environment, allowing you to comply with further industry security requirements
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Win2025 2025 x64
Deployed on AWS
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Features and programs
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Pricing
Free trial
Try this product free for 5 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 |
|---|---|
m7i.xlarge Recommended | $5.959 |
m5.2xlarge | $6.657 |
m5.xlarge | $5.959 |
m7i.2xlarge | $6.657 |
m6i.2xlarge | $6.657 |
m7a.2xlarge | $6.657 |
m6a.2xlarge | $6.657 |
m6a.xlarge | $5.959 |
m7a.xlarge | $5.959 |
m6i.xlarge | $5.959 |
Dimensions summary
You pay by the hour for the EC2 instance that runs CloudBasix Zero-ETL inside your own VPC. The ten dimensions map to ten instance types across the m5, m6a, m6i, m7a, and m7i families. Each family comes in two sizes: xlarge and 2xlarge. The 2xlarge size gives you more compute capacity than the xlarge in the same family. You choose one instance type, and billing accrues only while that instance runs. No upfront commitment applies; costs scale with how long you run the instance.
Top-of-mind questions for buyers
You pay for the EC2 instance that runs the CloudBasix Zero-ETL engine inside your own VPC. The engine reads changes from your source databases and lands them in your data lake or warehouse. Charges accrue per hour while the chosen instance runs, regardless of how much data you replicate.
Software charges meter running instance-hours only. A fully stopped instance stops accruing hourly software charges. Idle time still counts if the instance stays running, since billing tracks running time, not data volume. Stopped instances may still incur underlying AWS storage fees separate from this software.
Both sizes run the same engine and connectors. The 2xlarge size gives more compute capacity per hour than the xlarge in the same family. Choose the larger size for higher change-data-capture throughput or more concurrent replication tasks. You pick one instance type, and billing follows that choice.
cloudbasix.com
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Vendor refund policy
All fees are non-refundable and non-cancellable except as required by law.
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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) .
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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
Additional details
Usage instructions
Once the instance is running, and port 80 opened in the security group, connect to it by pointing a browser to the public DNS root URL (or IP) at default www port 80. Login with user: admin, initial temporary password: {EC2 Instance ID}.
Resources
Vendor resources
Support
Vendor support
Advisory Enterprise Support: https://cloudbasic.net/about/#Support . Documentation is available at https://cloudbasic.net/documentation/
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.
Updated weekly
Top
10
In ELT/ETL, Data Integration
Top
25
In Data Warehouses, ELT/ETL
Top
10
In ELT/ETL, Data Integration
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AI generated from product descriptions
Multi-Source Data Ingestion
Automatically ingests data from multiple database sources including Azure SQL, Aurora PostgreSQL/MySQL, Amazon RDS, Google CloudSQL, and SQL Server
Multi-Target Data Centralization
Centralizes ingested data into various targets including Amazon S3 Data Lake, Snowflake, Google Cloud BigQuery, Aurora, RDS, and CloudSQL
Infrastructure-Level Security
Processes data within customer infrastructure using cloud-native architecture to ensure data remains secure within the customer's cloud environment
Regulatory Compliance
Maintains data within the customer's cloud environment to ensure compliance with industry security and regulatory requirements
Zero-Scripting Pipeline Configuration
Enables setup and configuration of data pipelines without requiring scripting or manual code development
Agentic Automation
Autonomous AI agents that build, modify, and maintain production data pipelines across the delivery lifecycle
Schema Drift Detection
Automated detection and remediation workflows for schema drift in data pipelines
Git-Compatible Pipeline Output
Production-ready pipeline output with Git compatibility for version control and CI/CD integration
Integrated Data Lineage and Visibility
Built-in lineage tracking and operational visibility for data pipeline monitoring and governance
Pushdown SQL Architecture
SQL computation pushdown architecture for optimized query execution and performance
No-Code Data Integration Platform
Automated data movement from hundreds of SaaS applications, databases, and on-premises sources without requiring code configuration
Multi-Destination Support
Data ingestion capability to Amazon Redshift, Databricks, Snowflake, and S3 data lakes
High Availability and Uptime
99.9% uptime service level agreement with fully-managed, zero-maintenance pipelines
Reverse ETL Functionality
Capability to move transformed and enriched data back to business applications for data operationalization and activation
Security and Governance Controls
Industry-leading security and compliance features with advanced governance capabilities for data movement control
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
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