CloudBasix Zero-ETL No-ETL data ingestion
NO-ETL DATA INGESTION · CLOUD-NATIVE

Centralize every database into your data lake — with zero pipelines

CloudBasix Zero-ETL automatically ingests and centralizes data from many sources — Azure SQL, Aurora PostgreSQL/MySQL, Amazon RDS, Google Cloud SQL, SQL Server — into S3 data lakes, Snowflake, BigQuery, Aurora, RDS and Cloud SQL. No scripting, no pipelines to maintain.

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✓ Setup in minutes
✓ Runs in your VPC
✓ Stays in compliance

Built on 10+ years of database-replication evolution. Looking to replicate multi-tenant SQL Server between clouds? See the InterCloud Replication edition →

// ZERO-ETL TOPOLOGY
SOURCES · IN YOUR VPC
Azure SQL
Aurora PG/MySQL
Amazon RDS
SQL Server
+ many more connectors
Open AI connector*SOON
↓
ZERO-ETL ENGINE
CloudBasix
CloudBasix Zero-ETL
CDC capture · auto schema transforms
↓
S3 Data Lake
Snowflake
BigQuery
Aurora / RDS
+ many more connectors
Open AI connector*SOON
INGESTS FROM & LANDS INTO
S3 Snowflake BigQuery Aurora RDS Cloud SQL
HIGHLIGHTS

Centralized data without the pipeline tax

Stand up zero-ELT data pipelines in minutes — and because everything runs inside your own cloud, your data never crosses a regulatory boundary.

Setup in minutes

No scripting, zero-ELT data pipelines. Launch the AMI, point at a source and target, and start streaming.

Infrastructure-level security

A cloud-native solution that processes data safely inside your own infrastructure — as secure as the infrastructure itself.

Always in compliance

Because data moves within your cloud environment, it never leaves your regulatory-compliant boundary.

HOW IT WORKS

Many sources in, any target out — one engine in your VPC

CloudBasix Zero-ETL reads changes from your operational databases via change data capture and continuously lands them in your data lake or warehouse — transforming schema and types automatically, with no staging and no ETL code.

DATA SOURCES
Azure SQL / Managed Instance
Aurora PostgreSQL
Aurora / RDS MySQL
Amazon RDS
SQL Server
Google Cloud SQL
CDC/CT
CloudBasix
Zero-ETL Engine
Runs in your VPC
Log-based change data capture
Automatic schema transformation
SCD Type 1 & Type 2 history
No staging, no ETL code
ingest
CENTRALIZED TARGETS
Amazon S3 Data Lake
Partitioned, query-ready files
Snowflake
Direct table loads
Google BigQuery
Type 1 / Type 2 datasets
Aurora / RDS · Cloud SQL
Postgres & MySQL targets
1
Capture

Log-based CDC tracks inserts, updates and deletes on each source with no load on production.

2
Transform

Schema and types map to the target automatically — with sensible defaults you can override.

3
Land & centralize

Data streams continuously into your lake or warehouse, ready for analytics and BI.

SOURCES & TARGETS

Connect what you have to where your analytics live

SUPPORTED SOURCES
Azure SQL / Managed Instance
Aurora PostgreSQL
Aurora / RDS MySQL
Amazon RDS
Google Cloud SQL
SQL Server (Enterprise, Standard & Web)
+ many more connectors
Open AI connector — any REST-API sourceCOMING SOON
SUPPORTED TARGETS
Amazon S3 Data Lake
Snowflake
Google BigQuery
Amazon Aurora / RDS
Google Cloud SQL
PostgreSQL / MySQL
+ many more connectors
Open AI connector — any REST-API targetCOMING SOON
// SUPPORTED INTERCLOUD FLOW
CloudBasix Zero-ETL supported sources and targets flow diagram
CONFIGURATION

From launch to first sync in four steps

Deploy from AWS Marketplace into your own VPC, connect your databases through a browser, and create a replication task — no scripting required to start.

1
Launch into your VPC

Launch CloudBasix Zero-ETL from the AWS Marketplace, or from a private AMI, into your own Virtual Private Cloud.

2
Connect & log in

Open port 80 in the security group and browse to the public DNS root URL. Log in with user admin and your EC2 Instance ID as the temporary password.

3
Grant S3 access S3 TARGET ONLY

Configure an IAM role letting the CloudBasix EC2 access S3, add an inline policy restricting it to the target bucket, and attach an EC2-S3 trust policy scoped to that one instance.

4
Create a replication task

Pick a source and target, choose folder structure and naming for S3, select tables, and let CloudBasix apply transformation defaults — or customize them.

Enable change tracking per source

Create a custom cluster parameter group inheriting the default, set the value below, and restart the instance. SQL Server uses native CDC — no parameter change required.

Aurora / RDS PostgreSQL
rds.logical_replication = 1
Aurora / RDS MySQL
binlog_format = ROW
RDS SQL Server
native CDC · no change
REST API

Automate replication tasks programmatically

Everything you can configure in the UI is available over a REST API — define source, target, transformation policy and table set in a single call.

POST /api/v1/CreateReplicationTask 
{
  "source": {
    "sqlServer": {
      "host": "cloudbasix-zero-etl-endpoint",
      "port": "1433",
      "database": "sourcedatabasename",
      "changeTrackingMethod": "ChangeDataCapture",
      "retentionPeriod": "2"
    }
  },
  "target": {
    "bigquery": {
      "project": "project1-XX7904",
      "dataset": "mybigquerydataset",
      "location": "us",
      "prependSchemaToTableName": true,
      "type": "Type1",
      "retentionPolicy": 5
    }
  },
  "tables": {
    "add": [
      { "schema": "dbo", "name": "departments" },
      { "schema": "dbo", "name": "employees" }
    ]
  }
}
SECURITY & COMPLIANCE

Your data never leaves your environment

The engine runs entirely inside your VPC. Because data moves only within your cloud, it stays inside your regulatory boundary — helping you meet industry security and residency requirements.

Runs in your VPC

No external data plane; you own the network path.

Scoped IAM access

Trust policy authorizes only the CloudBasix instance to the target bucket.

Stays in compliance

Data never crosses your regulatory boundary.

VPN & AD ready

Works over any VPN; supports cross-cloud Active Directory.

TRUSTED BY

Enterprise-grade data replication, trusted by data-driven companies

10+ years of software evolution led to today's enterprise-grade replication technology — powering analytics, BI and disaster recovery for regulated and global teams alike.

“We use CloudBasic to continually replicate our databases into one place where we centralize and consolidate data and generate updated reports in real time. Fast, reliable, with a very intuitive interface.”

Rodrigo Silva · DBA & Cloud Architect
CloudBasix customers

Start centralizing your data today

Launch from AWS Marketplace, or request a no-cost proof of concept with our advisory support team.

Get started on AWS Marketplace Request a no-cost POC →