AWS Glue Schema Registry vs Dataphos 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.

Dataphos Schema Registry is an open-source API and self-hosted service for managing schemas in streaming data systems and validating events in flight. It keeps versioned schema history and exposes a REST API for registering, updating, retrieving, and deleting schemas, plus validity and compatibility checks. Validators support JSON, Avro, Protocol Buffers, XML, and CSV. They work with GCP Pub/Sub, Azure Service Bus, Azure Event Hubs, Apache Kafka, Apache Pulsar, and NATS JetStream, and can support producers and consumers using different protocols. Validation sends passing messages to a valid topic and failures to a dead-letter topic. Compatibility modes include backward, forward, and full variants, with transitive options and NONE; BACKWARD is the default. Validity defaults to FULL, with FULL, NONE, and SYNTAX_ONLY documented. The registry and validators run as Kubernetes deployments, using Shell, Helm, or Pulumi options. The Shell quickstart calls for at least 8 GB of available RAM on cluster nodes. Prometheus is optional for metrics and log monitoring.