AWS Glue Schema Registry vs Azure Data Factory
AWS Glue Schema Registry
docs.aws.amazon.com
Azure Data Factory
azure.microsoft.comSide by side
| Figure | AWS Glue Schema Registry | Azure Data Factory |
|---|---|---|
| Price from | Free | $0.10/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 4 |
| Spec score · ETL and ELT Tools | 7.9 (#10) | 9.1 (#2) |
| Regional availability | AWS Glue Schema Registry is not supported in the AWS Glue console in the Middle East (UAE) Region. | Microsoft says Data Factory is available in more than 25 Azure regions. |
Plans
Azure Data Factory
- Data movement (self-hosted IR)$0.10 a month
- Data movement (Azure or managed VNET IR)$0.25 a month
- Pipeline orchestration (Azure integration runtime)$1 a month
- Pipeline orchestration (self-hosted integration runtime)$1.50 a month
In their own words
AWS Glue Schema Registry
AWS Glue Schema Registry is a free cloud service for centrally discovering, controlling, and evolving schemas used by streaming applications. It supplies serializers and deserializers so producers and consumers can share schema definitions during data exchange. Supported formats are Avro v1.11.4, JSON Schema Draft-04, Draft-06, and Draft-07, plus Protocol Buffers proto2 and proto3; Protobuf extensions and groups are not supported. Eight compatibility modes are available: NONE, DISABLED, BACKWARD, BACKWARD_ALL, FORWARD, FORWARD_ALL, FULL, and FULL_ALL. Features include automatic registration, metadata-based schema sourcing, IAM compatibility, and optional ZLIB compression. Documented integrations cover Apache Kafka, Amazon MSK, Kinesis Data Streams, Amazon Managed Service for Apache Flink, AWS Lambda, AWS Glue streaming, and Apache Kafka Streams. Client API traffic uses TLS over HTTPS, and schemas are encrypted at rest with an AWS KMS service-managed key. Registry ARNs organize permissions for schema operations.
Azure Data Factory
Azure Data Factory has no write-up on Specifiction yet; its figures are above.