Dataphos Schema Registry vs Lenses
Dataphos Schema Registry
docs.dataphos.comLenses
lenses.ioSide by side
| Figure | Dataphos Schema Registry | Lenses |
|---|---|---|
| Price from | — | $0.33/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 0 | 6 |
| Spec score · Schema Registry Software | 7.0 (#18) | 8.1 (#9) |
| Deployment | The Registry and Validator run as deployments in a Kubernetes environment. | Lenses can be deployed in a cloud, on-premises, or hybrid environment. |
Plans
Lenses
- K2K CommunityFree
- Lenses DevX Community EditionFree
- K2K add-on$1 a month
- Lenses DevX Team Edition$4 a year
- K2K EnterprisePriced on request
- Lenses DevX Multi-Kafka EnterprisePriced on request
In their own words
Dataphos Schema Registry
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.
Lenses
Lenses describes its Operating Fabric as a platform for building, governing, and operating Kafka applications with engineers and AI agents. Users can discover streaming data across domains with SQL, prepare it for consumption, and deploy data streams independently. It connects to Confluent Platform, Confluent Cloud, Amazon MSK, Redpanda, and self-managed Apache Kafka, and can run in cloud, on-premises, or hybrid environments. Work interfaces include a Web App, VS Code Extension, Lenses MCP, and Lenses CLI. Lenses says OAuth 2.1 gives agents scoped, short-lived, revocable, and audited access. It also lists open-source Kafka connectors for systems including Amazon S3, Azure Event Hubs, GCP Storage, Cassandra, MongoDB, Redis, and Elasticsearch; the connectors are Apache 2.0 licensed and have enterprise support. The DevX Community Edition supports up to five free users, while SQL Studio supports up to two Kafka clusters. A trial key is available through the guided demo. Team Edition is listed from $4,000 per year and supports up to 15 users with SSO/SAML, RBAC, and Team Support.