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Akutan

Stacks6

Followers32

+ 1

Votes0

Arc

Stacks53

Followers36

+ 1

Votes0

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Akutan vs Arc: What are the differences?

Akutan: 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; Arc: A dialect of the Lisp programming language developed by Paul Graham and Robert Morris. 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.

Akutan belongs to "Graph Databases" category of the tech stack, while Arc can be primarily classified under "Languages".

Akutan is an open source tool with 1.57K GitHub stars and 89 GitHub forks. Here's a link to Akutan'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 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.

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What companies use Akutan?

What companies use Arc?

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What tools integrate with Akutan?

What tools integrate with Arc?

Common Lisp

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What are some alternatives to Akutan and Arc?

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.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

See all alternatives

Akutan vs Arc

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

What is Akutan?

What is Arc?

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

What companies use Akutan?

What companies use Arc?

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What tools integrate with Akutan?

What tools integrate with Arc?

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