Need advice about which tool to choose?Ask the StackShare community!

Amazon Kinesis

638
505
+ 1
11
Confluent

129
152
+ 1
9
Add tool
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Amazon Kinesis
Pros of Confluent
  • 7
    Scalable
  • 4
    Cons
  • 2
    No hypercloud lock-in
  • 2
    Dashboard for kafka insight
  • 2
    Zero devops
  • 2
    Free for casual use
  • 1
    Easily scalable

Sign up to add or upvote prosMake informed product decisions

Cons of Amazon Kinesis
Cons of Confluent
  • 2
    Cost
  • 1
    Proprietary

Sign up to add or upvote consMake informed product decisions

What is Amazon Kinesis?

Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.

What is Confluent?

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

Need advice about which tool to choose?Ask the StackShare community!

What companies use Amazon Kinesis?
What companies use Confluent?
See which teams inside your own company are using Amazon Kinesis or Confluent.
Sign up for Private StackShareLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Amazon Kinesis?
What tools integrate with Confluent?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

Jul 2 2019 at 9:34PM

Segment

Google AnalyticsAmazon S3New Relic+25
10
5896
GitHubPythonNode.js+47
50
69460
GitHubDockerAmazon EC2+23
12
6360
GitHubSlackMySQL+44
109
49990
What are some alternatives to Amazon Kinesis and Confluent?
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Amazon SQS
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.
Amazon Kinesis Firehose
Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today.
Firehose.io
Firehose is both a Rack application and JavaScript library that makes building real-time web applications possible.
See all alternatives