--- title: Apache Beam Reviews meta_title: 'Apache Beam Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 16 reviews by the users' company size, role or industry to find out how Apache Beam works for a business like yours. aggregate_rating: rating_value: 4.1 review_count: 16 scale: '5' date_modified: '2026-06-14' parent_category: name: Big Data url: https://www.g2.com/categories/big-data --- # Apache Beam Reviews **Vendor:** The Apache Software Foundation **Category:** [Big Data Processing And Distribution Systems](https://www.g2.com/categories/big-data-processing-and-distribution) **Average Rating:** 4.1/5.0 **Total Reviews:** 16 ## About Apache Beam Apache Beam is an open source unified programming model designed to define and execute data processing pipelines, including ETL, batch and stream processing. ## Apache Beam Reviews ### 1. Batch and strEAM processing with Beam! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Enterprise (> 1000 emp.) **Reviewed Date:** May 12, 2023 **What do you like best about Apache Beam?** Beam is awesome. Both Batch and Stream processing handled via the same semantics/code. Just switch out your IOs, ex: database or files for batch, or a message queue for streaming use cases **What do you dislike about Apache Beam?** People sometimes have trouble learning. I wish it was easier for people **What problems is Apache Beam solving and how is that benefiting you?** We use Beam to handle most of our data processing needs. Both Batch and Stream use cases, and across our clouds and with a bunch of inputs and outputs. ### 2. Experience with Apache Beam ---> So far so Good. **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Automotive | Small-Business (50 or fewer emp.) **Reviewed Date:** August 18, 2020 **What do you like best about Apache Beam?** Liked the way Beam provides abstraction for the complex distributed paradigm using pCollection and Transforms etc. Also its unified approach to deal with both Batch and Stream processing is unique and efficient. **What do you dislike about Apache Beam?** At the time of doing development , i found doing Join operation was not that simple and we had to use coGroupByKey for that which was a bit confusing for us. May be providing abstraction as simple join operation would help the users community. May be the developer community might have already provided that option but it was not there when we were doing our use case. **What problems is Apache Beam solving and how is that benefiting you?** We have been using Beam for a batch data processing with Source as Google Cloud Storage and Destination is Big Query. We found it very efficient as we did various tranformations on the fly as well. ### 3. Excellent parallel processing experience **Rating:** 4.5/5.0 stars **Reviewed by:** Amazon C. | Human Resources Manager, Mid-Market (51-1000 emp.) **Reviewed Date:** August 21, 2020 **What do you like best about Apache Beam?** I have used Apache Beam to design my pipeline on Google cloud platform. My experience was seamless. I have designed for both batch and streaming data. **What do you dislike about Apache Beam?** Lack of available courses on apache beam which can help newbies to learn Beam **Recommendations to others considering Apache Beam:** I could easily recommend anyone to use Apache Beam for its simplicity and detailed documentation. **What problems is Apache Beam solving and how is that benefiting you?** I have used windowing technique to accommodate late dat within my pipeline which was a brilliant task. ### 4. Great choice for implementing complex and portable data pipelines. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Small-Business (50 or fewer emp.) **Reviewed Date:** April 25, 2020 **What do you like best about Apache Beam?** In terms of capabilities and generality, I think Apache Beam is currently the most advanced and most flexible framework for designing and implementing modern data-intensive applications. Perfectly able to specify both batch and streaming computations, plus in terms of streaming capabilities, it offers really a lot! It takes some time to get comfortable with the APIs, but after that is goes pretty smoothly. Finally the support for various execution engine thanks to the "runner" abstraction makes it a great choice when portability across different platforms either on premise or in the Cloud becomes a factor. Definitely recommended. **What do you dislike about Apache Beam?** Currently the APIs are not exactly super friendly. **Recommendations to others considering Apache Beam:** Definitely recommended for modern data pipeline. **What problems is Apache Beam solving and how is that benefiting you?** Implementing scalable ETL pipelines running on the Cloud. Implementing business triggers based on a high workload of incoming events. ### 5. Easy to implement and plenty of example to follow **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** August 16, 2020 **What do you like best about Apache Beam?** Frequently update and supports multiple language **What do you dislike about Apache Beam?** More tedious in debugging the application code. Also, not very informative error logs. **Recommendations to others considering Apache Beam:** Do more research before you get started to see if this is a suitable product for you. **What problems is Apache Beam solving and how is that benefiting you?** Creating a pipeline for collecting data from IOT devices to analyse the insights provided by them. The data are health care data and navigation data. ### 6. Apache Beam Experience on Google Cloud Platform **Rating:** 4.0/5.0 stars **Reviewed by:** Praneet P. | Data Analyst (Deep Learning and Data Processing Engine), Computer Software, Small-Business (50 or fewer emp.) **Reviewed Date:** October 30, 2019 **What do you like best about Apache Beam?** What I most like about Apache Beam is the ease of use when defining pipelines for ETL in both Batch and Streamline Processing. Being open-source software, Beam is one of the most powerful tools out there. **What do you dislike about Apache Beam?** It is a bit slower than Apache Flink as Beam is mainly classified in Graph Database tools while Flink is classified into Big Data Tools. Also, it doesn't provide any UI to monitor the job status while Flink does. Works pretty good for Small ETL Tasks in GCP rather than large tasks which involve a lot of streams processing. Flink is better if your use case has to deal with lot of streams at a time. **Recommendations to others considering Apache Beam:** I would suggest to first go through the docs of Apache Beam, as there is good content in there along with the blogs on Apache Beam. Explore many other ETL tools like Apache Spark, Flink, Storm, Samza before considering Beam as each of them has their own use case benefits and decide which one fits you the most. I have mostly used Beam in Google Cloud Platform DataFlow for transforming and saving some changes from database using Change Data Capture into Apache Druid and found that Beam is pretty good for small tasks rather than for large ones. **What problems is Apache Beam solving and how is that benefiting you?** I've used Beam while writing some ETL for batch processing in Cloud DataFlow to transform the data in a timely manner and store them as features to some Time Series Database. ### 7. Data processing pipelines made easy **Rating:** 5.0/5.0 stars **Reviewed by:** Dhavala A. | Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** October 30, 2019 **What do you like best about Apache Beam?** With Apache beam, data processing pipelines are made really easy. We've been using this over the past 3 months and found it really successful especially for the ETL process of data we produce. **What do you dislike about Apache Beam?** It is good for smaller processes, but not advisable for large streamline processes. **Recommendations to others considering Apache Beam:** Just use it, it is worth it. **What problems is Apache Beam solving and how is that benefiting you?** We do ETL and producing features in ML. ### 8. Great Streaming Data Processing Workflow Engine **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** October 30, 2019 **What do you like best about Apache Beam?** It's an open-source workflow engine that lets you code your logic of data processing workflow. It allows you to process your data based on batch and streams. **What do you dislike about Apache Beam?** You should learn the basic function of your workflow using Java. So, it takes time (depends on your learning curve) **Recommendations to others considering Apache Beam:** it's a great streaming data processing workflow engine that you could customize your own logic to your workflow engine. **What problems is Apache Beam solving and how is that benefiting you?** streaming data from Apache Kafka to BigQuery with implement several additional logic (customized from google dataflow) ### 9. Big Data **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** October 30, 2019 **What do you like best about Apache Beam?** Apache beam have good feature "Pardo" and "dofn" which is help to write customized code and make powerful parallel operation. **What do you dislike about Apache Beam?** Apache beam have only Jdbc connectivity and after the write operation again you can not open new pcollection . **What problems is Apache Beam solving and how is that benefiting you?** Apache beam is good for event stream data. ### 10. Apache beam is good for orchestrating your stream processing pipelines **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** November 01, 2019 **What do you like best about Apache Beam?** Freedom to choose your own runtimes. This gives immense flexibility to devs **What do you dislike about Apache Beam?** deployment and production instructions and case studies should be improved **What problems is Apache Beam solving and how is that benefiting you?** We were evaluating it for PCF environment in Azure and did not find documentation ### 11. Good technology **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** October 30, 2019 **What do you like best about Apache Beam?** fast implementation of all methods to try change data **What do you dislike about Apache Beam?** Difficult to use and ehat exactly you need to do **What problems is Apache Beam solving and how is that benefiting you?** Clean data and save it on bigquery (gogle cloud) ### 12. Scalable analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Ole D. | CTO & Co-founder, Small-Business (50 or fewer emp.) **Reviewed Date:** March 16, 2019 **What do you like best about Apache Beam?** The SDKs are good and easy to use. It's amazing how fast you get something up and running. **What do you dislike about Apache Beam?** Not yet support for python3 and still there are some benefits to using JAVA and not really a fan of JAVA **Recommendations to others considering Apache Beam:** Just jump right into it. **What problems is Apache Beam solving and how is that benefiting you?** Streaming high volumes of data from APIs/message queue into an datastore adding things like session_id on the way. ### 13. Streaming made possible and easier with Beam **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** April 11, 2019 **What do you like best about Apache Beam?** How it makes it easier for us to implement the entire dataflow pipeline. We are using it from Streaming and Batch Dataflow services and it has been very reliable and eay to develop. There are enough examples and documentation to get you going. Works really well with ingestion into BQ on GCP. **What do you dislike about Apache Beam?** Some edge use-cases are hard to implement and some of the instances we required for the data pipeline were not yet supported. **What problems is Apache Beam solving and how is that benefiting you?** Pulling data to our Data Warehouse from third party APIs is vital for the business and through apache beam, the code we developed has become a lot more compact and easy to maintain. ### 14. Tech way ahead of it's time **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** June 11, 2019 **What do you like best about Apache Beam?** distributed stream processing as data flows in. **What do you dislike about Apache Beam?** It's bit complicated to setup and autoscaling is bit clunky **What problems is Apache Beam solving and how is that benefiting you?** Data processing for real time aggregate data ### 15. Amazing SDK Programs **Rating:** 2.0/5.0 stars **Reviewed by:** Kerri D. | Enterprise (> 1000 emp.) **Reviewed Date:** June 12, 2018 **What do you like best about Apache Beam?** It’s vision of helping make my apps better by providing a sdk. It’s very simple to implement. **What do you dislike about Apache Beam?** I wish it offered more tools to use, because I realy do like the platform. **What problems is Apache Beam solving and how is that benefiting you?** The aspect of the processing engin was a issue before this sdk launched but now it solved my issues. ### 16. Simplified big data **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in E-Learning | Small-Business (50 or fewer emp.) **Reviewed Date:** July 10, 2018 **What do you like best about Apache Beam?** Supported by google. Is a solution that has everything, many systems can handle both batch and streaming, but they often do so via separate APIs. Beam focus on capturing properties of your data and your logic, instead of letting details. The project uses the correct programming model for streaming and batch data processing. **What do you dislike about Apache Beam?** capabilities will not always be exactly the same across different Beam runners at a given point in time **Recommendations to others considering Apache Beam:** You should try beam if you are starting a new data project. **What problems is Apache Beam solving and how is that benefiting you?** Big data, data science ## Apache Beam Discussions - [Please create more videos which teaches Apache Beam](https://www.g2.com/discussions/30870-please-create-more-videos-which-teaches-apache-beam) - 1 upvote - [View Apache Beam pricing details and edition comparison](https://www.g2.com/products/apache-beam/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-02+12%3A15%3A38+-0500&secure%5Bsession_id%5D=0bc06b9d-f024-487f-8024-4cb57a8218d4&secure%5Btoken%5D=ad6236d2fd3e8ef34e5ab0ea8c8e39d04caa6d4594e54010368a0055b5e6d00e&format=llm_user) ## Apache Beam Features **Database** - Real-Time Data Collection - Data Distribution - Data Lake **Integrations** - Hadoop Integration - Spark Integration **Platform** - Machine Scaling - Data Preparation - Spark Integration **Processing** - Cloud Processing - Workload Processing **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 ## Top Apache Beam Alternatives - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,285 reviews) - [Amazon EMR](https://www.g2.com/products/amazon-emr/reviews) - 4.2/5.0 (62 reviews) - [Azure Data Lake Store](https://www.g2.com/products/azure-data-lake-store/reviews) - 4.5/5.0 (37 reviews)