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DistributedLog vs Confluent: What are the differences?
DistributedLog: High-performance replicated log service, by Twitter. DistributedLog (DL) is a high-performance, replicated log service, offering durability, replication and strong consistency as essentials for building reliable distributed systems; Confluent: We make a stream data platform to help companies harness their high volume real-time data streams. It is a data streaming platform based on Apache Kafka: a full-scale streaming platform, capable of not only publish-and-subscribe, but also the storage and processing of data within the stream.
DistributedLog belongs to "Message Queue" category of the tech stack, while Confluent can be primarily classified under "Stream Processing".
Some of the features offered by DistributedLog are:
- High Performance
- Durable and Consistent
- Efficient Fan-in and Fan-out
On the other hand, Confluent provides the following key features:
- Reliable
- High-performance stream data platform
- Manage and organize data from different sources.
DistributedLog is an open source tool with 2.25K GitHub stars and 283 GitHub forks. Here's a link to DistributedLog's open source repository on GitHub.
Pros of Confluent
- Free for casual use4
- No hypercloud lock-in3
- Dashboard for kafka insight3
- Easily scalable2
- Zero devops2
Pros of DistributedLog
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Cons of Confluent
- Proprietary1
