--- title: Amazon Kinesis Data Analytics Reviews meta_title: 'Amazon Kinesis Data Analytics Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 15 reviews by the users' company size, role or industry to find out how Amazon Kinesis Data Analytics works for a business like yours. aggregate_rating: rating_value: 4.1 review_count: 15 scale: '5' date_modified: '2026-08-07' parent_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration --- # 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:** 15 ## 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, appreciating its real-time capabilities and seamless integration. (1 reviews) - Users appreciate the **scalable and cost-efficient solutions** of Amazon Kinesis Data Analytics for enhanced data analysis workflows. (1 reviews) - Users value the **cost efficient pay as you go model** of AWS Analytics, simplifying budgeting and resource management. (1 reviews) - Users value the **seamless integration with other AWS services** , enhancing their data analysis workflows effectively. (1 reviews) - Users value the **seamless integration with other AWS services** , which simplifies workflows and enhances data analysis efficiency. (1 reviews) - Security Protection (1 reviews) **What users dislike:** - Users highlight the **complexity** of tool selection and setup, often struggling with steep learning curves and limited customization. (1 reviews) - Users face **complexity issues** with tool selection and learning curves, making setup and customization challenging. (1 reviews) - Users find the **complex setup** of AWS Analytics challenging, complicating tool selection and onboarding for newcomers. (1 reviews) - Users face challenges with **cost management** , requiring careful monitoring and complicating the overall experience with Kinesis Data Analytics. (1 reviews) - Users face a **steep learning curve** with Amazon Kinesis Data Analytics, making initial setup and tool selection challenging. (1 reviews) - Limited Customization (1 reviews) ## Amazon Kinesis Data Analytics Reviews ### 1. Powerful, Low-Latency Stream Processing with Amazon Managed Service for Apache Flink **Rating:** 4.5/5.0 stars **Reviewed by:** Atharva P. | Cloud BI Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2026 **What do you like best about Amazon Kinesis Data Analytics?** We previously used Amazon Kinesis Data Analytics for real-time stream processing. AWS later renamed the service to Amazon Managed Service for Apache Flink, and with the retirement of SQL Applications, we've transitioned our workloads to Apache Flink applications while maintaining the same streaming architecture. Amazon Kinesis Data Analytics allowed us to build real-time streaming pipelines without managing Apache Flink clusters ourselves. I particularly liked support for event-time processing, stateful streaming, windowed aggregations, checkpointing, and automatic scaling. After migrating to Amazon Managed Service for Apache Flink, these capabilities became even more powerful while maintaining operational simplicity. The service integrates naturally with Kinesis streams, Kafka, Amazon S3, and CloudWatch. Performance has been excellent for processing millions of streaming events with very low latency. Automatic scaling and managed infrastructure significantly reduced operational overhead compared to self-hosted Flink clusters. **What do you dislike about Amazon Kinesis Data Analytics?** Developing complex streaming applications requires familiarity with Apache Flink concepts, making the learning curve steeper than traditional batch processing. Debugging distributed stream processing jobs can also be challenging. **What problems is Amazon Kinesis Data Analytics solving and how is that benefiting you?** The platform enabled near real-time analytics on streaming application data without requiring us to manage streaming infrastructure. Example: Application logs and clickstream events were continuously ingested, enriched, aggregated, and written into analytical data stores. Business dashboards reflected user behaviour within seconds instead of waiting for scheduled ETL jobs, allowing operational teams to react much faster. ### 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. 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. ### 7. 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 ### 8. 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. - [View Amazon Kinesis Data Analytics pricing details and edition comparison](https://www.g2.com/products/amazon-kinesis-data-analytics/reviews?filters%5Bnps_score%5D%5B%5D=5§ion=pricing&secure%5Bexpires_at%5D=2026-08-10+17%3A43%3A54+-0500&secure%5Bsession_id%5D=648125ea-15a5-49ef-8de7-47ce4aeb87e7&secure%5Btoken%5D=6ea4b78b90970308d0357821cc68b077f7088aea820fd5fc6a72ec266a731027&format=llm_user) ## Amazon Kinesis Data Analytics Integrations - [Apache Flink](https://www.g2.com/products/apache-flink/reviews) - [Flink](https://www.g2.com/products/flink/reviews) - [FlinkML](https://www.g2.com/products/flinkml/reviews) ## 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 - Real-Time Data - Real-Time Data - Third-Party Integrations - Third-Party Integrations **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications - Mobile Access - Metadata Management ## Top Amazon Kinesis Data Analytics Alternatives - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (774 reviews) - [HubSpot Data Hub](https://www.g2.com/products/hubspot-data-hub/reviews) - 4.5/5.0 (562 reviews) - [Tealium](https://www.g2.com/products/tealium-2026-07-21/reviews) - 4.3/5.0 (445 reviews)