RSKafka vs Secor
Overview
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Detailed Comparison
It aims to be a minimal Kafka implementation for simple workloads that wish to use Kafka as a distributed write-ahead log. It is not a general-purpose Kafka implementation, instead, it is heavily optimised for simplicity, both in terms of implementation and its emergent operational characteristics. | It is a service persisting Kafka logs to Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage and Openstack Swift. |
Supports compression and decompression of messages;
Allow transport via SOCKS5 proxy;
Allows TLS transport via rustls;
Exposes some internal data structures so that they can be used by our fuzzers | Strong consistency;
Fault tolerance;
Load distribution;
Horizontal scalability;
Output partitioning;
Configurable upload policies |
Statistics | |
GitHub Stars 318 | GitHub Stars 1.9K |
GitHub Forks 43 | GitHub Forks 536 |
Stacks 0 | Stacks 0 |
Followers 0 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to RSKafka, Secor?
Kafka Manager
This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.
Kafka REST
It provides a RESTful interface to a Kafka cluster. It makes it easy to produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients. Examples of use cases include reporting data to Kafka from any frontend app built in any language, ingesting messages into a stream processing framework that doesn't yet support Kafka, and scripting administrative actions.
rdkafka
This gem is a modern Kafka client library for Ruby based on librdkafka. It wraps the production-ready C client using the ffi gem and targets Kafka 1.0+ and Ruby 2.3+.
Kafka UI
It is a simple tool that makes your data flows observable, helps find and troubleshoot issues faster and deliver optimal performance. Its lightweight dashboard makes it easy to track key metrics of your Kafka clusters - Brokers, Topics, Partitions, Production, and Consumption.
Kafdrop
It is a web UI for viewing Kafka topics and browsing consumer groups. The tool displays information such as brokers, topics, partitions, consumers, and lets you view messages.
Kowl
It is a web application that helps you to explore messages in your Apache Kafka cluster and get better insights on what is actually happening in your Kafka cluster in the most comfortable way.
KafkaHQ
It is a Kafka GUI for topics, topics data, consumers group, schema registry, connect and more. It works with modern Kafka cluster.
Lenses
It is a simple and secure self service DataOps platform, to operate with confidence on Apache Kafka & Kubernetes.
KafkaCenter
It is a unified one-stop platform for Kafka cluster management and maintenance, producer / consumer monitoring, and use of ecological components.
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.
