Apache Beam vs Beam

Overview

Apache Beam

Stacks183

Followers361

Votes14

Akutan

Stacks6

Followers32

Votes0

GitHub Stars1.7K

Forks105

Apache Beam vs Beam: What are the differences?

Developers describe Apache Beam as "A unified programming model". It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments. On the other hand, Beam is detailed as "A Distributed Knowledge Graph Store". A distributed knowledge graph store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world.

Apache Beam and Beam are primarily classified as "Workflow Manager" and "Graph Databases" tools respectively.

Beam is an open source tool with 1.39K GitHub stars and 67 GitHub forks. Here's a link to Beam's open source repository on GitHub.

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CLI (Node.js)

Manual

Detailed Comparison

Apache Beam	Akutan
It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.	A distributed knowledge graph store. Knowledge graphs are suitable for modeling data that is highly interconnected by many types of relationships, like encyclopedic information about the world.
Statistics
GitHub Stars -	GitHub Stars 1.7K
GitHub Forks -	GitHub Forks 105
Stacks 183	Stacks 6
Followers 361	Followers 32
Votes 14	Votes 0
Pros & Cons
Pros 5 Cross-platform 5 Open-source 2 Unified batch and stream processing 2 Portable	No community feedback yet
Integrations
No integrations available	Kubernetes Golang Make Visual Studio Code Docker Kafka RocksDB gRPC OpenTracing Homebrew

What are some alternatives to Apache Beam, Akutan?

Neo4j

Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.

Airflow

Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.

GitHub Actions

It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.

Zenaton

Developer framework to orchestrate multiple services and APIs into your software application using logic triggered by events and time. Build ETL processes, A/B testing, real-time alerts and personalized user experiences with custom logic.

Dgraph

Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.

Luigi

It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

RedisGraph

RedisGraph is a graph database developed from scratch on top of Redis, using the new Redis Modules API to extend Redis with new commands and capabilities. Its main features include: - Simple, fast indexing and querying - Data stored in RAM, using memory-efficient custom data structures - On disk persistence - Tabular result sets - Simple and popular graph query language (Cypher) - Data Filtering, Aggregation and ordering

Cayley

Cayley is an open-source graph inspired by the graph database behind Freebase and Google's Knowledge Graph. Its goal is to be a part of the developer's toolbox where Linked Data and graph-shaped data (semantic webs, social networks, etc) in general are concerned.

Unito

Build and map powerful workflows across tools to save your team time. No coding required. Create rules to define what information flows between each of your tools, in minutes.