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Beam Alternatives
Similar projects and alternatives to beam
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Stream
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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Laravel
Laravel is a web application framework with expressive, elegant syntax. We’ve already laid the foundation for your next big idea — freeing you to create without sweating the small things.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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materialize
Real-time Data Integration and Transformation: use SQL to transform, deliver, and act on fast-changing data. (by MaterializeInc)
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Redash
Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
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Apache Arrow
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better beam alternative or higher similarity.
beam discussion
beam reviews and mentions
Posts with mentions or reviews of beam.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-07-30.
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A Quick Developer’s Guide to Effective Data Engineering
Use distributed data processing frameworks like Apache Beam or Apache Spark.
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No SNAPSHOTs
Even ASF does not use Maven to build some of its projects anymore: Beam, Groovy, Lucene, Geode, POI, and Solr are not built with Maven. Those are not the most popular ASF projects, I know, but still, it is something.
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Ask HN: Does (or why does) anyone use MapReduce anymore?
The "streaming systems" book answers your question and more: https://www.oreilly.com/library/view/streaming-systems/97814.... It gives you a history of how batch processing started with MapReduce, and how attempts at scaling by moving towards streaming systems gave us all the subsequent frameworks (Spark, Beam, etc.).
As for the framework called MapReduce, it isn't used much, but its descendant https://beam.apache.org very much is. Nowadays people often use "map reduce" as a shorthand for whatever batch processing system they're building on top of.
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beam VS quix-streams - a user suggested alternative
2 projects | 7 Dec 2023
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How do Streaming Aggregation Pipelines work?
Apache Beam is one of many tools that you can use
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Releasing Temporian, a Python library for processing temporal data, built together with Google
Flexible runtime ☁️: Temporian programs can run seamlessly in-process in Python, on large datasets using Apache Beam.
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Kafka cluster loses or duplicates messages
To perform the tests I'm using a Kafka cluster on Kubernetes from the Beam repo (here).
- Apache Beam
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Real Time Data Infra Stack
Apache Beam: Streaming framework which can be run on several runner such as Apache Flink and GCP Dataflow
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Google Cloud Reference
Apache Beam: Batch/streaming data processing 🔗Link
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A note from our sponsor - Stream
getstream.io | 16 Jul 2025
Stats
Basic beam repo stats
32
8,213
10.0
3 days ago
apache/beam is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of beam is Java.
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Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.
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