Overview
Conduktor Scale provides organizations with the right balance of central oversight for compliance and decentralized autonomy for innovation in data streaming with Kafka. It empowers teams to manage their own data and applications with self-service controls, while keeping compliance in check with centralized data policies and governance.
Implement data governance at scale: Manage access and permissions for data at cluster, individual or team-level. Enable granular permissions for users and groups on all Kafka resources, and get visibility into user access and actions through a user-friendly interface.
Boost developer productivity: Simplify operations by connecting applications with shared, trusted data. Increase org-wide data discovery and usage for faster time to market. Find a needle in the haystack with advanced message search, sort, and filter for messages. Manage brokers, topics, and partitions across your data streaming ecosystem.
Create data you can trust: Track cluster health, partition status, topic activity, and storage usage effortlessly. Quickly identify security breaches and operational issues with customizable, real-time alerts, keeping platform and application teams informed when it matters most.
Conduktor acts as a bridge between applications and data infrastructure (whether it is on AWS MSK, Confluent, Redpanda, Aiven, etc), ensuring compatibility, data quality and a seamless user experience across all data sources.
Highlights
- Empower developers with self-service controls to streamline application building and management, while ensuring compliance.
- Accelerate new streaming use cases with minimal friction and faster time-to-value. Enhance AI/ML performance and insights by optimizing real-time data access and ensuring accurate input data.
- Boost release quality and frequency with better observability for faster iterations and continuous updates.