--- title: Amazon Kinesis Data Firehose Reviews meta_title: 'Amazon Kinesis Data Firehose Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 25 reviews by the users' company size, role or industry to find out how Amazon Kinesis Data Firehose works for a business like yours. aggregate_rating: rating_value: 4.2 review_count: 25 scale: '5' date_modified: '2026-08-09' parent_category: name: Cloud Data Integration url: https://www.g2.com/categories/cloud-data-integration --- # Amazon Kinesis Data Firehose Reviews **Vendor:** Amazon Web Services (AWS) **Category:** [ETL Tools](https://www.g2.com/categories/etl-tools) **Average Rating:** 4.2/5.0 **Total Reviews:** 25 ## About Amazon Kinesis Data Firehose Amazon Kinesis Data Firehose is the easiest way to reliably load real-time streams into data lakes, warehouses, and analytics services. Kinesis Data Firehose can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon OpenSearch Service, and Splunk, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. It is a fully managed service that automatically scales to match the throughput of your data and requires no ongoing administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of storage used at the destination and increasing security. ## Amazon Kinesis Data Firehose Reviews ### 1. Reliable, Low-Ops Streaming Ingestion with Amazon Data Firehose **Rating:** 4.0/5.0 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 Firehose?** We originally adopted Amazon Kinesis Data Firehose. AWS has since renamed the service to Amazon Data Firehose, but the functionality remains the same and we continue using it under its new name. Amazon Data Firehose greatly simplified streaming data ingestion by automatically delivering data to analytics and storage platforms without managing consumer applications. I particularly like automatic batching, compression, buffering, format conversion, dynamic partitioning, and serverless scaling. The service requires very little operational effort and integrates naturally with Amazon S3, Redshift, OpenSearch, Iceberg-based data lakes, and third-party observability platforms. Performance has been consistently reliable for high-volume streaming pipelines, making it an excellent choice for building modern lakehouse architectures. **What do you dislike about Amazon Kinesis Data Firehose?** Transformation capabilities are intentionally lightweight, so more complex business logic typically requires AWS Lambda or downstream processing frameworks such as Spark or Flink. **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** Data Firehose eliminated the need to build and maintain custom streaming ingestion services. Example: Application logs, audit events, and IoT telemetry were continuously delivered into Amazon S3 as Parquet files with automatic partitioning. This significantly reduced ingestion latency while improving downstream query performance in Athena and Redshift. ### 2. A decent tool to build your Data Pipelines in action **Rating:** 3.5/5.0 stars **Reviewed by:** Suru S. | Data Science Trainee, Mid-Market (51-1000 emp.) **Reviewed Date:** May 03, 2023 **What do you like best about Amazon Kinesis Data Firehose?** Most of the infrastructure, basically some configurations like monitoring the pipelines, receiving notifications or alert messages, status etc... are managed by the service provider. Fairly an easy learning curve to build pipelines with good scaling capabilities as your data needs increase. Everything is secured and regulated with the necessary compliances too. **What do you dislike about Amazon Kinesis Data Firehose?** I feel the pipelines fail or there is a downtime crash that happens sometimes. The Data Pipelines you build should be good enough to run efficiently. Takes a steep learning curve when you use it for real-time data processing as it needs a higher understanding and expertise to be able to handle that. No as fast when it comes to real-time processing. **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** Saves a lot of time building pipelines because things are done automatically, as in data is moving from one place to another automatically. The fact that it also saves us the cost as we only pay for how much we use. Helps us Data Professionals build robust and scalable data solutions. ### 3. Easy integration with other services **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Design | Small-Business (50 or fewer emp.) **Reviewed Date:** March 28, 2023 **What do you like best about Amazon Kinesis Data Firehose?** One of the best features of Amazon Kinesis is its easy integration of it with other AWS services. We often require the streaming data from Kinesis to be stored and later analyzed. This requires easy integration with services like Lambda, S3, Data lakes, etc. This can be done very easily in the case of Kinesis. **What do you dislike about Amazon Kinesis Data Firehose?** There is very less visibility when the data is within AWS Kinesis. The user of the data has no idea where it resides. This is especially important in situations where there are drops in messages. Although it's not an exact science Kinesis can make it better. **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** Amazon Kinesis Data Firehose integrates with Amazon CloudWatch Logs so that you can view the specific error logs if data transformation or delivery fails. You can enable error logging when creating your delivery stream. ### 4. A great tool to automate your pipelines **Rating:** 4.0/5.0 stars **Reviewed by:** Henry C. | Mid-Market (51-1000 emp.) **Reviewed Date:** February 23, 2023 **What do you like best about Amazon Kinesis Data Firehose?** - It is a reliable service - It integrates very well with other AWS solutions (lambdas, data streams, etc.) - Easy to set up and maintain - It gives almost real-time data delivery. **What do you dislike about Amazon Kinesis Data Firehose?** - Documentation is a bit confusing, but plenty of forums exist to deal with it. - The pricing is a little higher than other alternatives in the market. - There is no queue system, then it could be a problem in some scenarios. **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** We needed to stream events from orders created by our customers, and using this tool we can stream in a short amount of time to our datalake. Then we can now make insights about the status of the business. ### 5. Streamlining Data Delivery: An In-Depth Look at Amazon Kinesis Data Firehose **Rating:** 3.5/5.0 stars **Reviewed by:** Vikas M. | Technology Lead, Enterprise (> 1000 emp.) **Reviewed Date:** February 24, 2023 **What do you like best about Amazon Kinesis Data Firehose?** Amazon Kinesis Data Firehose is a fully managed service for loading streaming data into data stores and analytics tools. It is part of the Amazon Kinesis service family and is intended to handle real-time data streams at scale. The ease of use of Kinesis Data Firehose is one of its primary advantages. Users can create data streams in the AWS Management Console with a few clicks, and the service will handle tasks like buffering, compressing, and transforming the data before it is loaded into the destination. Kinesis Data Firehose also integrates with a number of AWS services, including Amazon S3, Amazon Redshift, and Amazon Elasticsearch, making it simple to load data into these services for further analysis. Scalability is another important feature of Kinesis Data Firehose. The service can handle large amounts of streaming data and automatically scales to handle data volume spikes without user intervention. This means that organizations can use Kinesis Data Firehose to capture and process data from various sources, such as IoT devices, social media feeds, and web logs, and then store that data for later analysis. **What do you dislike about Amazon Kinesis Data Firehose?** 1. Amazon Kinesis Data Firehose has limited integration with other third-party applications and services. 2. Amazon S3, Amazon Redshift, and Amazon Elasticsearch are among the destinations supported by Kinesis Data Firehose. This can be limiting for users who want to visit other places. 3.The cost of Kinesis Data Firehose can be expensive, especially when dealing with large volumes of data. 4. Kinesis Data Firehose doesn't provide real-time processing capabilities. Data must be buffered before it can be processed and delivered to the destination. **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** One of the main problems that Kinesis Data Firehose is solving is the difficulty of capturing and processing large volumes of streaming data in real-time. Traditional batch processing systems can be slow and inefficient when dealing with streaming data, which can lead to delays in data processing and analysis. Kinesis Data Firehose solves this problem by providing a fully managed service that can capture and process streaming data in real-time, allowing organizations to quickly analyze and respond to it. With Kinesis Data Firehose, you can easily load streaming data into various destinations, including S3, Redshift, Elasticsearch, and Splunk, without having to worry about managing the infrastructure. ### 6. For reliable load streaming **Rating:** 4.0/5.0 stars **Reviewed by:** Jitae K. | Devops Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** December 06, 2022 **What do you like best about Amazon Kinesis Data Firehose?** It is automatically scalable and very low cost. It is almost real time. No need to provision. It's highly customizable, and Data is typically made available in a stream for 24 hours, but for an additional cost, users can gain data availability for up to seven days. **What do you dislike about Amazon Kinesis Data Firehose?** The downside is the almost real time, which means sometimes it takes longer like 60 seconds to process your data **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** It can be easily integrated with lambda, which is that we deployed most of our product. Amazon Kinesis Data Firehose is highly customizable and best suited for developers building custom applications or streaming data for specialized needs and Firehose handles loading data streams directly into AWS products for processing(its automated scaling, no data storage needed, serverless data transformations with lambda and almost real time) ### 7. Streaming Data with Analytical Operations **Rating:** 4.0/5.0 stars **Reviewed by:** Shrikrishna P. | Vice President Group Head Operations & Quality at RTF Group, Enterprise (> 1000 emp.) **Reviewed Date:** February 22, 2023 **What do you like best about Amazon Kinesis Data Firehose?** It has easy integration with other 3rd party software as well as with s3 bucket and lambda which helped me a lot. It also helped me in gaining the data very efficiently and quickly from my data lakes **What do you dislike about Amazon Kinesis Data Firehose?** The documentation part of Amazon Web Services is a bit complex and sometimes confusing for a beginner like me. Sometimes a large amount of data gets stuck and gets an error. **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** It has moved in the right direction by providing the best ETL process platform for continuous data flow but there are some issues that need to be fixed like the UI. ### 8. Amazon kinesis a way to success not option **Rating:** 4.0/5.0 stars **Reviewed by:** Tushar V. | IT Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** May 13, 2023 **What do you like best about Amazon Kinesis Data Firehose?** The training, The way it derives the users to learn and how effective it is product development and management. This helps developer to setup there projects in great fashion **What do you dislike about Amazon Kinesis Data Firehose?** Reuire expert level knowledge to start with and besic understanding is not enough to have a project status showing correct **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** Data load was very affective handled while working with aws ### 9. Good experience with Amazon Kinesis Data Firehose **Rating:** 4.0/5.0 stars **Reviewed by:** Vaishnavi L. | Mid-Market (51-1000 emp.) **Reviewed Date:** April 09, 2023 **What do you like best about Amazon Kinesis Data Firehose?** The best part of Amazon Kinesis Data Firehose is its ETL and data analytics services. They worked on there scalability and real time data processing results are just amazing. **What do you dislike about Amazon Kinesis Data Firehose?** I haven't found any as such drawback but sometimes found difficulty in horizontal scaling. **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** Amazon Kinesis solved my ETL process in real time, it provided me maximum output from minimal resources. Also helped me to build real time data pipelines. ### 10. This help us with our data needs and was already compatible with the source **Rating:** 4.0/5.0 stars **Reviewed by:** Ash B. | Director of IT, Mid-Market (51-1000 emp.) **Reviewed Date:** March 13, 2023 **What do you like best about Amazon Kinesis Data Firehose?** It was easy to setup and started working pretty quickly **What do you dislike about Amazon Kinesis Data Firehose?** Cost is kind of high compared to other options. **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** It was able to pull analytics from our streams and give us valuable info on our end user info ### 11. Best Solution for streaming data **Rating:** 3.5/5.0 stars **Reviewed by:** Omkar I. | SDE - Data Science, Small-Business (50 or fewer emp.) **Reviewed Date:** February 25, 2023 **What do you like best about Amazon Kinesis Data Firehose?** I like the Architecture of kinesis and It's features of data engineering **What do you dislike about Amazon Kinesis Data Firehose?** No dislike at current movement since couple of month i have started working on Kinesis **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** It help me to do processing on IOT data ### 12. Real-Time Analytics using Kinesis Data Streaming **Rating:** 4.0/5.0 stars **Reviewed by:** Ameya K. | Principal Programmer/Analyst (Big-Data), Consumer Electronics, Mid-Market (51-1000 emp.) **Reviewed Date:** June 08, 2016 **What do you like best about Amazon Kinesis Data Firehose?** The configuration of Kinesis Firehose is simple and can be used to stream real-time data from various data sources to Amazon Redshift database in a continuous manner. This eliminates the creating and maintenance of complicated ETL processing pipelines and batch processing delays. This definitely helps in having near real-time data available for analytic purposes. **What do you dislike about Amazon Kinesis Data Firehose?** The Kinesis agent configuration needs more flexibility in configuring the data steams to allow simple data manipulation and transformation before processing and loading the the target tables in Redshift. **Recommendations to others considering Amazon Kinesis Data Firehose:** Pros: Simple configuration for setting up and getting started. Easy to load real-time data to Amazon Redshift database in a continuous manner which allows us to have real-time data for analytics and dashboards. Cons: Needs improvement for on-the-fly data transformation manipulation. **What problems is Amazon Kinesis Data Firehose solving and how is that benefiting you?** Have near real-time data for analytics and data visualization using Tableau and QuickSight. Kinesis also allows us to eliminate ETL pipelines for staging the raw data in the database. - [View Amazon Kinesis Data Firehose pricing details and edition comparison](https://www.g2.com/products/amazon-kinesis-data-firehose/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-13+09%3A16%3A56+-0500&secure%5Bsession_id%5D=9af58a4f-c321-4857-8a7a-fede676cdb0e&secure%5Btoken%5D=2cbe2639a4f7147c134d892d52c49707d4161ad3a273dbfae0502da7e59e0d91&format=llm_user) ## Amazon Kinesis Data Firehose Integrations - [Amazon Kinesis Data Streams](https://www.g2.com/products/aws-amazon-kinesis-data-streams/reviews) - [Amazon Kinesis Video Streams](https://www.g2.com/products/amazon-kinesis-video-streams/reviews) - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews) ## Amazon Kinesis Data Firehose Features **Data** - Data Processing - Data Sources - Integration - Real-Time Processing **Management** - Reporting - Auditing **Analytics** - Reporting & Analytics **Functionality** - Extraction - Transformation - Loading - Automation - Scalability - Non-Relational Transformations - Data Extraction **Additional Functionality** - Data Mapping - Monitoring - Charting - Integration Management - Reporting/Analytics - Ad hoc Analysis - Access Controls/Permissions - API - Match & Merge - Real-Time Monitoring - Metadata Management - Pipeline Management - Job Scheduling - Dashboard Creation - Data Storage Management - Multiple Data Sources - Data Import/Export - Generative AI - Data Quality Control - Data Connectors - Customizable Reports - Single Sign On - Version Control - Visual Analytics - Accounting Integration - Real-Time Data - eCommerce Management - AI Copilot - CRM - Data Visualization - SSL Security - Search/Filter - Real-Time Analytics - Data Capture and Transfer - Collaboration Tools - Performance Management - Data Synchronization - Drag & Drop - Data Replication - Activity Dashboard - Database Support - Workflow Management - Alerts/Notifications - Predictive Analytics - Data Migration - Third-Party Integrations - Reporting & Statistics - Data Analysis Tools **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 Firehose Alternatives - [Azure Data Factory](https://www.g2.com/products/azure-data-factory/reviews) - 4.6/5.0 (96 reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - 4.5/5.0 (1,145 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,335 reviews)