Apache Beam Reviews & Product Details


What is 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.

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Apache Beam Profile Details

Apache Beam Profile Details

Vendor
The Apache Software Foundation
Description
Community-led development since 1999. FoundationProjectsPeopleGet InvolvedDownloadSupport ApacheHome. We consider ourselves not simply a group of projects sharing a server, but rather a community of developers and users.
Company Website
Year Founded
1999
HQ Location
Wakefield, MA
LinkedIn® Page
www.linkedin.com
Employees on LinkedIn®
1,824
Twitter
@TheASF
Twitter Followers
53,780
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Apache Beam Reviews

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1-5 of 5 total Apache Beam reviews

Apache Beam Reviews

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1-5 of 5 total Apache Beam reviews
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CTO & Co-founder
Internet
Mid-Market
(501-1000 employees)
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"Scalable analytics"

What do you like best?

The SDKs are good and easy to use. It's amazing how fast you get something up and running.

What do you dislike?

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 the product:

Just jump right into it.

What problems are you solving with the product? What benefits have you realized?

Streaming high volumes of data from APIs/message queue into an datastore adding things like session_id on the way.

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(501-1000 employees)
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"Amazing SDK Programs"

What do you like best?

It’s vision of helping make my apps better by providing a sdk. It’s very simple to implement.

What do you dislike?

I wish it offered more tools to use, because I realy do like the platform.

What problems are you solving with the product? What benefits have you realized?

The aspect of the processing engin was a issue before this sdk launched but now it solved my issues.

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Mid-Market
(501-1000 employees)
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"Streaming made possible and easier with Beam"

What do you like best?

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?

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 are you solving with the product? What benefits have you realized?

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.

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Small-Business
(11-50 employees)
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Business partner of the vendor or vendor's competitor, not included in G2 scores.

"Simplified big data "

What do you like best?

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?

capabilities will not always be exactly the same across different Beam runners at a given point in time

Recommendations to others considering the product:

You should try beam if you are starting a new data project.

What problems are you solving with the product? What benefits have you realized?

Big data, data science

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Mid-Market
(51-200 employees)
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"Tech way ahead of it's time"

What do you like best?

distributed stream processing as data flows in.

What do you dislike?

It's bit complicated to setup and autoscaling is bit clunky

What problems are you solving with the product? What benefits have you realized?

Data processing for real time aggregate data

Apache Beam User Ratings

8.3
Ease of Use
Average: 8.2*
7.5
Quality of Support
Average: 8.2*
* Big Data Processing and Distribution Category
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