# Amazon Kinesis Data Analytics Reviews
**Vendor:** Amazon Web Services (AWS)  
**Category:** [Stream Analytics Software](https://www.g2.com/categories/stream-analytics)  
**Average Rating:** 4.1/5.0  
**Total Reviews:** 14
## About Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time with Apache Flink. Kinesis Data Analytics reduces the complexity of building, managing, and integrating Apache Flink applications with other AWS services. Kinesis Data Analytics takes care of everything required to run streaming applications continuously, and scales automatically to match the volume and throughput of your incoming data. With Kinesis Data Analytics, there are no servers to manage, no minimum fee or setup cost, and you only pay for the resources your streaming applications consume.



## Amazon Kinesis Data Analytics Pros & Cons
**What users like:**

- Users value the **scalable and flexible analytics solutions** of AWS, which simplify workflows and enhance data analysis capabilities. (1 reviews)
- Users highlight the **scalable and flexible solutions** of Amazon Kinesis Data Analytics, simplifying data analysis workflows effectively. (1 reviews)
- Users value the **cost-efficient pay-as-you-go model** of Amazon Kinesis Data Analytics, which simplifies budgeting and resource management. (1 reviews)
- Users appreciate the **seamless integration** with other AWS services, simplifying their analytics workflows significantly. (1 reviews)
- Users value the **seamless integration with other AWS services** , simplifying workflows while enhancing data analysis capabilities. (1 reviews)
- Security Protection (1 reviews)

**What users dislike:**

- Users struggle with the **complexity** of tool selection, setup, and the learning curve associated with AWS Analytics. (1 reviews)
- Users face **complexity issues** in tool selection and setup, struggling with learning curves and limited customization options. (1 reviews)
- Users face **complex setup challenges** with AWS Analytics, making tool selection and learning curves difficult for newcomers. (1 reviews)
- Users face challenges with **cost management** , requiring careful monitoring and potential for unexpected expenses. (1 reviews)
- Users face a steep **learning curve** with Amazon Kinesis Data Analytics, making it challenging for new users to engage effectively. (1 reviews)
- Limited Customization (1 reviews)

## Amazon Kinesis Data Analytics Reviews
  ### 1. Data Analysis ,opportunity to work extensively with AWS Analytics services.

**Rating:** 2.5/5.0 stars

**Reviewed by:** Verified User in Hospital & Health Care | Small-Business (50 or fewer emp.)

**Reviewed Date:** August 23, 2023

**What do you like best about Amazon Kinesis Data Analytics?**

according to understanding past 2 year i worked on it AWS Analytics offers scalable and flexible solutions for data analysis. Its cost efficient pay as you go model, seamless integration with other AWS services, and managed nature simplify workflows. Real-time capabilities, security features, and machine learning integration enhance its value for various use cases

**What do you dislike about Amazon Kinesis Data Analytics?**

according to me in Aws Analytics Challenges with the complexity in tool selection and setup, learning curves for new users, careful cost monitoring, potential service and limited customization.

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

AWS Analytics helps businesses by enabling scalable data processing, realtime insights, cost efficient analysis, data driven decision making, advanced analytics, enhanced customer experiences, operational efficiency, market insights, compliance and security, and data monetization. It addresses these challenges and empowers businesses to make informed decisions, improve processes, and stay competitive.

  ### 2. Best use case for data streaming with IOT devices

**Rating:** 5.0/5.0 stars

**Reviewed by:** Jayanna T. | Senior Consultant, Enterprise (> 1000 emp.)

**Reviewed Date:** November 21, 2022

**What do you like best about Amazon Kinesis Data Analytics?**

Easy to setup and integrate with IOT devices and IOT applications with scalable data streaming and processing real-time data analytics with multiple peer devices

**What do you dislike about Amazon Kinesis Data Analytics?**

At max we can create 50 data streams at a time, if we need more we may need to contact support .. again it is a tedious task. A single shard can ingest upto max 1MB of data or 1000 messages at a time.

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

The main solution is easy to setup and monitoring, next is easy integration with any application using full fledged api's. well documented and api details to integrate.

  ### 3. The right tool for mass data transformation? KDA!

**Rating:** 5.0/5.0 stars

**Reviewed by:** Verified User in Entertainment | Small-Business (50 or fewer emp.)

**Reviewed Date:** November 03, 2022

**What do you like best about Amazon Kinesis Data Analytics?**

I really like to work with the tool and like its capabilities. Easy to deploy even Flink is complex stuff. After understanding the concept, it can be used in a very intense situation. The possibility of the use cases is endless. What I also really like about the product, is that AWS guys are really supportive of this product.

**What do you dislike about Amazon Kinesis Data Analytics?**

It's not about the product but the available resource that can support you. Since it's a complex tool, and not widely used, it's hard to find reliable support, even in AWS. I believe a lot has to invest in evangelization and learning possibilities of the tool.

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

It's capable of mass-transform json or avro based messages for a specific model (can it be a metric or other data). In our use case, we are using it for client-data-transformation for monitoring purposes.

  ### 4. Amazon Kinesis for Streaming Data.

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in E-Learning | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 03, 2022

**What do you like best about Amazon Kinesis Data Analytics?**

Well managed, easy to use. One can learn and use it very easily.

**What do you dislike about Amazon Kinesis Data Analytics?**

It is a very well-managed service. Not a queue system, so little visibility into "backlog" if there is any.

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

Was working on some streaming-based data processing. With help of Kinesis Analytics was able to apply analysis on streaming data directly.

  ### 5. A savior for reliable processing of real-time data.

**Rating:** 4.5/5.0 stars

**Reviewed by:** AbdulMajeed M. | Senior Scrum Master, Enterprise (> 1000 emp.)

**Reviewed Date:** February 17, 2021

**What do you like best about Amazon Kinesis Data Analytics?**

Apart from its scalability, I would say processing real-time data collected from the web services that we use in our organization. In my personal opinion I have used Kinesis for developing applications for customers who asked about real-time data processing.

**What do you dislike about Amazon Kinesis Data Analytics?**

My team and myself have been using Kinesis for quite some time and I will be very honest that I have nothing that I can mention about what I dislike about Kinesis.

**Recommendations to others considering Amazon Kinesis Data Analytics:**

its one of the best applications which helps the research and development teams to process real-time data directly from the AWS console. Among all the features I think its feature to allow scalability is the best. It gives a holistic experience for a developer when its comes to deployments of the product. It stores data which can be easily processed by using the AI tools for near real time applications. One of the best and most helpful when it comes to managing real-time streaming data.

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

In my opinion, its one of the best applications which helps the research and development teams to process real-time data directly from the AWS console. Among all the features I think its feature to allow scalability is the best. It gives a holistic experience for a developer when its comes to deployments of the product. It stores data which can be easily processed by using the AI tools for near real time applications. One of the best and most helpful when it comes to managing real-time streaming data.

  ### 6. Great!

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Computer Networking | Enterprise (> 1000 emp.)

**Reviewed Date:** November 26, 2018

**What do you like best about Amazon Kinesis Data Analytics?**

Mimesis has been working well for us. Initially it took some time to get around this technology but later. After reading in detail could implement it. The examples were limited too at the time of the development. After initial hiccups, the availability and speed has no comparison. We could get data from SAP to caching layer in milliseconds.

**What do you dislike about Amazon Kinesis Data Analytics?**

AWS Team, you have made this service very daunting at the first sight. There is limited help to look at streaming data in Production. You need to make it combine KPL, KCL and kinesis correctly. Also, we had to work much on increasing or reducing shards in real time. This is awesome service like many others you have but material and support is NOT that great. May be lately it has which I haven’t checked.

**Recommendations to others considering Amazon Kinesis Data Analytics:**

Yes. Kafka is good competition 

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

Real time ingestion & analytics

  ### 7. I love Kinesis

**Rating:** 5.0/5.0 stars

**Reviewed by:** Gavin R. | Softare Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** November 28, 2018

**What do you like best about Amazon Kinesis Data Analytics?**

The scalability and ease of use. The KCL and KPL libraries along with the AWS SDK make it really easy to work with,

**What do you dislike about Amazon Kinesis Data Analytics?**

Working with shard iterators is not so great.

**Recommendations to others considering Amazon Kinesis Data Analytics:**

Make sure you understand the difference between Kinesis and SQS and their relative strengths and weaknesses before deciding to use either product.

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

HIgh volume event data streaming, consumption, processing and storage.

  ### 8. Live event streaming done right

**Rating:** 2.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.)

**Reviewed Date:** November 28, 2018

**What do you like best about Amazon Kinesis Data Analytics?**

We chose kinesis because of the ability to consume messages with the right sharding.and a managed serviced .

**What do you dislike about Amazon Kinesis Data Analytics?**

1 megabyte limit, in our use case we have files that go beyond 1 mg even after compression.

**Recommendations to others considering Amazon Kinesis Data Analytics:**

Sure, if they have the money.

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

We were in need to quickly set up an architecture that allowed us to consume live streaming data in order to do some processing and enrichment to make our customers more efficient with their data.


  ### 9. Data replication for APIs/Analytics using Kinesis streams 

**Rating:** 4.5/5.0 stars

**Reviewed by:** Sri Harsha M. | Tech Lead, Automotive, Enterprise (> 1000 emp.)

**Reviewed Date:** November 28, 2018

**What do you like best about Amazon Kinesis Data Analytics?**

Easy to set up and throttle the size/messages limits

**What do you dislike about Amazon Kinesis Data Analytics?**

The size limit can be further increased and the frequency can be reduced to less than a minute

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

Analytics and machine learning data ingres using Kinesis streams for external users

  ### 10. Need more bulk message support for FInancial service applications

**Rating:** 3.5/5.0 stars

**Reviewed by:** Lavina K. | Senior Data and BI Analyst, Enterprise (> 1000 emp.)

**Reviewed Date:** November 28, 2018

**What do you like best about Amazon Kinesis Data Analytics?**

Access to granularity, batch and shard processing

**What do you dislike about Amazon Kinesis Data Analytics?**

No support for bulk messaging and not very latency sensitive

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

Streaming our data to customers 

  ### 11. Streaming to Data Lake

**Rating:** 4.0/5.0 stars

**Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.)

**Reviewed Date:** November 27, 2018

**What do you like best about Amazon Kinesis Data Analytics?**

currently leverage to bring all our data streamsStream data to S3. Planning to leverage Kinesis Analytics to analyze the data in stream to produce live analytics.

**What do you dislike about Amazon Kinesis Data Analytics?**

Expensive if you dont configure it correctly. Fan out was missing and recently got added.

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

Real time Analytics

  ### 12. Easy Analytics

**Rating:** 4.5/5.0 stars

**Reviewed by:** Verified User in Computer Games | Mid-Market (51-1000 emp.)

**Reviewed Date:** November 27, 2018

**What do you like best about Amazon Kinesis Data Analytics?**

Ease of use, were able to setup a telemetry pipeline in one week

**What do you dislike about Amazon Kinesis Data Analytics?**

Some of the lambda hookups are strange in regards to provisioning

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

Telemetry pipelines. Able to have adata flowing with little overheard on the ops team.

  ### 13. Data analisis streaming

**Rating:** 4.0/5.0 stars

**Reviewed by:** Obaib E. | Engineer Software, Enterprise (> 1000 emp.)

**Reviewed Date:** July 26, 2018

**What do you like best about Amazon Kinesis Data Analytics?**

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information

**What do you dislike about Amazon Kinesis Data Analytics?**

Hard to configuration and setup on production

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

big data streaming

  ### 14. Great product

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Consumer Electronics | Enterprise (> 1000 emp.)

**Reviewed Date:** July 26, 2018

**What do you like best about Amazon Kinesis Data Analytics?**

Kinesis is simple to set up and can be used to stream real-time data from various data sources to Amazon Redshift database.  This eliminates the creating and maintenance of complicated ETL.

**What do you dislike about Amazon Kinesis Data Analytics?**

I have only used it for a short time and don’t have any problems or concerns as of yet.

**What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?**

I use it to solve the realtime data processing throgh Amazon Kinesis



- [View Amazon Kinesis Data Analytics pricing details and edition comparison](https://www.g2.com/products/amazon-kinesis-data-analytics/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-03+01%3A39%3A10+-0500&secure%5Bsession_id%5D=3a882950-1919-4856-aedd-c7a2dff3e78f&secure%5Btoken%5D=2a0519dc5cb384c3fa58a666078d269e601455b4f96db54af3983cc601533052&format=llm_user)

## Amazon Kinesis Data Analytics Features
**Data**
- Data Processing
- Data Sources
- Integration
- Real-Time Processing

**Analytics**
- Reporting & Analytics

**Building Reports**
- Data Transformation
- Data Modeling
- WYSIWYG Report Design
- Integration APIs

**Platform**
- Mobile User Support
- Customization 
- User, Role, and Access Management
- Internationalization
- Sandbox / Test Environments
- Performance and Reliability
- Breadth of Partner Applications

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