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Akutan

Stacks6

Followers32

+ 1

Votes0

JanusGraph

Stacks41

Followers95

+ 1

Votes0

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Beam vs JanusGraph: What are the differences?

Beam: 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; JanusGraph: Open-source, distributed graph database. It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.

Beam and JanusGraph belong to "Graph Databases" category of the tech stack.

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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What is Akutan?

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.

What is JanusGraph?

It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.

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What companies use Akutan?

What companies use JanusGraph?

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What tools integrate with JanusGraph?

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What are some alternatives to Akutan and JanusGraph?

Apache Beam

It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Apache Flink

Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.

Arc

Arc is designed for exploratory programming: the kind where you decide what to write by writing it. A good medium for exploratory programming is one that makes programs brief and malleable, so that's what we've aimed for. This is a medium for sketching software.

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.

See all alternatives

Akutan vs JanusGraph

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What is Akutan?

What is JanusGraph?

Need advice about which tool to choose?Ask the StackShare community!

What companies use Akutan?

What companies use JanusGraph?

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What tools integrate with Akutan?

What tools integrate with JanusGraph?

Sign up to get full access to all the tool integrationsMake informed product decisions

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