Amazon SQS vs DistributedLog: What are the differences?
Developers describe Amazon SQS as "Fully managed message queuing service". Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use. On the other hand, DistributedLog is detailed as "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.
Amazon SQS and DistributedLog can be categorized as "Message Queue" tools.
Some of the features offered by Amazon SQS are:
- A queue can be created in any region.
- The message payload can contain up to 256KB of text in any format. Each 64KB ‘chunk’ of payload is billed as 1 request. For example, a single API call with a 256KB payload will be billed as four requests.
- Messages can be sent, received or deleted in batches of up to 10 messages or 256KB. Batches cost the same amount as single messages, meaning SQS can be even more cost effective for customers that use batching.
On the other hand, DistributedLog provides the following key features:
- High Performance
- Durable and Consistent
- Efficient Fan-in and Fan-out
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.
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