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DoctorKafka

3
17
+ 1
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KafkaCenter

3
7
+ 1
0
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DoctorKafka vs KafkaCenter: What are the differences?

What is DoctorKafka? A service for Kafka cluster auto healing and workload balancing. DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings.

What is KafkaCenter? A unified one-stop platform for Kafka cluster management and maintenance. It is a unified one-stop platform for Kafka cluster management and maintenance, producer / consumer monitoring, and use of ecological components.

DoctorKafka and KafkaCenter can be categorized as "Kafka" tools.

DoctorKafka and KafkaCenter are both open source tools. It seems that DoctorKafka with 563 GitHub stars and 84 forks on GitHub has more adoption than KafkaCenter with 536 GitHub stars and 62 GitHub forks.

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What is DoctorKafka?

DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings.

What is KafkaCenter?

It is a unified one-stop platform for Kafka cluster management and maintenance, producer / consumer monitoring, and use of ecological components.

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What tools integrate with DoctorKafka?
What tools integrate with KafkaCenter?
What are some alternatives to DoctorKafka and KafkaCenter?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Redis
Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
Amazon S3
Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
See all alternatives