StreamSets vs Amazon Kinesis

Struggling to choose between StreamSets and Amazon Kinesis? Both products offer unique advantages, making it a tough decision.

StreamSets is a Development solution with tags like data-pipelines, etl, big-data.

It boasts features such as Drag-and-drop interface, Pre-built connectors, Real-time data pipelines, Data drift monitoring, Data lineage tracking and pros including Easy to use, Fast setup, Scalable, Open source, Cloud native.

On the other hand, Amazon Kinesis is a Ai Tools & Services product tagged with realtime, ingestion, processing.

Its standout features include Real-time data streaming, Scalable data ingestion, Data processing through Kinesis Data Analytics, Integration with other AWS services, Serverless management, Data replay capability, and it shines with pros like Handles massive streams of data in real-time, Fully managed service, no servers to provision, Automatic scaling to match data flow, Integrates nicely with other AWS services, Replay capability enables reprocessing of data.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

StreamSets

StreamSets

StreamSets is an open source data integration platform for building and managing big data pipelines. It offers a simple and intuitive drag-and-drop interface to help users quickly build pipelines to transfer data between a variety of sources and destinations including databases, data lakes, and cloud platforms.

Categories:
Development Data Integration
data-pipelines etl big-data

StreamSets Features

  1. Drag-and-drop interface
  2. Pre-built connectors
  3. Real-time data pipelines
  4. Data drift monitoring
  5. Data lineage tracking

Pricing

  • Open Source
  • Enterprise Edition (Subscription)

Pros

Easy to use

Fast setup

Scalable

Open source

Cloud native

Cons

Limited transformation capabilities

Less flexible than coding

Steep learning curve

Amazon Kinesis

Amazon Kinesis

Amazon Kinesis is a managed service that allows for real-time streaming data ingestion and processing. It can ingest data streams from multiple sources, process the data, and route the results to various endpoints.

Categories:
Ai Tools & Services Data Streaming
realtime ingestion processing

Amazon Kinesis Features

  1. Real-time data streaming
  2. Scalable data ingestion
  3. Data processing through Kinesis Data Analytics
  4. Integration with other AWS services
  5. Serverless management
  6. Data replay capability

Pricing

  • Pay-As-You-Go

Pros

Handles massive streams of data in real-time

Fully managed service, no servers to provision

Automatic scaling to match data flow

Integrates nicely with other AWS services

Replay capability enables reprocessing of data

Cons

Can get expensive with high data volumes

Complex to set up and manage

Limits on maximum stream size and shard throughput

No automatic data retention policies