Aklivity provides the Zilla Data Platform to govern, secure, and manage real-time data streams at scale, maximizing Kafka investments. This platform enables the transformation of operational data streams into self-service, governed Data Products accessible via multiple protocols. By centralizing governance and observability, the platform accelerates innovation and increases operational efficiency for streaming deployments.
Funding
$4.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Integrating web applications, IoT devices, and microservices with Apache Kafka often requires custom integration code and intermediary services. This complexity increases latency, duplicates data unnecessarily, and widens the security surface area, creating a disjointed interface to event-driven architectures.
Solution
Aklivity's Zilla is an event-native API infrastructure that simplifies the integration of various clients and applications with Apache Kafka. Zilla acts as a multi-protocol proxy, enabling direct interaction with Kafka topics and services through declaratively defined, stateless APIs. By eliminating the need for custom integration code, Kafka Connect, or other intermediaries, Zilla reduces latency, streamlines security, and maximizes the performance of event-driven architectures. Developers can use REST, SSE, MQTT, and gRPC APIs to consume and produce event streams, extending Kafka's benefits across the entire application stack.
Target Audience
Zilla targets data-driven organizations, including developers and architects building event-driven applications, integrating microservices, and connecting IoT devices to Apache Kafka.
Features
- Multi-protocol support: REST, SSE, MQTT, gRPC, and Kafka native protocol
- Declarative, YAML-based configuration for API endpoint mappings, eliminating the need for coding
- OpenAPI and AsyncAPI support for schema validation and API definition
- Integrations with Apicurio, Karapace, and Confluent Schema Registry for Avro, JSON, and Protobuf schema validation
- Low-latency, high-throughput runtime using shared memory streams and parallel execution
- Real-time cache synchronized with Kafka for specific topics, improving performance and reducing broker load
- JWT authentication, continuous stream authorization, and entitlement-based messaging for secure access
- Integration with Prometheus for monitoring and observability
- Kubernetes-native deployment with autoscaling support