Ask On Data

Pros and Cons : AWS Zero-ETL Option

AWS’s Zero-ETL integration between Amazon RDS/Aurora and Amazon Redshift simplifies analytics by automating data replication, but it comes with specific challenges and limitations. Here are key issues to consider based on the [official documentation](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/zero-etl.html ) and real-world use:

1. Limited Source/Target Support

   – Sources: Only Aurora MySQL 3 (MySQL 8.0+) and RDS for MySQL 8.0.28+ are supported (as of 2025). No PostgreSQL, SQL Server, Oracle, etc.

   – Targets: Exclusively Redshift Serverless or RA3 instances. Classic Redshift (DC2/DS2) isn’t supported.

2. Data Latency

   – Near-real-time ≠ real-time: Data typically appears in Redshift within seconds to minutes, but this isn’t guaranteed for sub-second use cases.

   – Batching: Changes are replicated in micro-batches, which may cause delays during low activity periods.

3. Schema & Data Type Constraints

   – No Schema Customization: The Redshift schema mirrors the source 1:1. You can’t exclude columns, rename tables, or merge data from multiple sources.

   – Unsupported Data Types: Certain types (e.g., spatial/geospatial data, large binary objects (BLOBs), or custom types) may not replicate or require workarounds.

   – Schema Changes: Altering source tables (e.g., adding columns) requires careful coordination to avoid replication failures.

4. Transformation Limitations

   – Zero-ETL ≠ Zero-Transform: Data lands in Redshift *untouched*. Complex transformations (joins, aggregations, cleansing) still need to be handled downstream via materialized views or scheduled queries.

   – No On-the-Fly Processing: Unlike traditional ETL, you can’t apply transformations *during* replication.

5. Security & Compliance Complexities

   – Encryption: Both source (RDS/Aurora) and target (Redshift) must use AWS KMS keys. Managing keys across services adds overhead.

   – Network Isolation: Requires VPC peering or AWS Transit Gateway, complicating network architecture.

   – Audit Gaps: Monitoring replication status requires correlating logs from RDS, Redshift, and CloudWatch.

6. Cost Implications

   – Redshift Serverless Costs: Auto-scaling can lead to unpredictable costs if query patterns spike.

   – Data Transfer Fees: Replication incurs cross-service data transfer charges.

   – Storage Duplication: Data is stored in *both* RDS/Aurora and Redshift.

7. Operational Challenges

   – Failure Handling: Replication can break due to schema conflicts, unsupported DDL, or network issues. Debugging requires checking both RDS and Redshift logs.

   – Backup/Restore Complexity: Restoring a source database doesn’t auto-sync Redshift. You may need to reset the Zero-ETL link and reload data.

   – Limited CDC Control: No access to raw CDC logs; replication is managed entirely by AWS.

8. Feature Gaps

   – No Data Filtering: Replicates entire tables—no row/column filtering.

   – Multi-Region Limitations: Cross-region replication isn’t natively supported.

   – Max Tables/DBs: Default limits apply (e.g., 50 linked databases per Redshift instance).

   – Complex Transformations Needed: If heavy data cleansing or merging is required pre-load.

   – Multi-Source Analytics: Combining RDS data with non-RDS sources (e.g., DynamoDB, S3).

   – Legacy Databases: Using unsupported engines (PostgreSQL, SQL Server, etc.).

   – Strict Cost Control: Unpredictable Redshift Serverless costs may be prohibitive.

Alternative to Zero-ETL

Chat based data engineering tool Ask On Data is worth looking at. It addresses the shortcoming of this

  • Ask On Data can support various kind of datasources including flat files, databases, API, Google Sheets etc.
  • Ask On Data can support structured, semi structured and unstructured data sources.
  • It can help in achieving things like joins, transformations, merging, calculations etc which is not possible in Zero-ETL
  • No new coding language required. Everything is AI powered and chat driven.
  • Unlike ZeroETL, AskOnData can be used by anyone including technical and non technical users.
  • Multi source supported
  • Predictable cost with costing depending on the usage.
  • Strong auditing and logging capabilities

Reach out on support@askondata.com for free trial, POC.

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