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Akutan

Stacks6

Followers32

+ 1

Votes0

TerminusDB

Stacks6

Followers18

+ 1

Votes0

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Beam vs TerminusDB: What are the differences?

Developers describe Beam 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. On the other hand, TerminusDB is detailed as "*An open source in-memory graph database *". It is a database built for data people. Terminus is a model driven graph database designed specifically for the web-age The result is unified, well-structured & refined data - the jet fuel of future business. It greatly reduces the time and effort required to build any application that shares, manipulates or edits data..

Beam and TerminusDB can be categorized as "Graph Databases" tools.

Beam and TerminusDB are both open source tools. It seems that Beam with 1.5K GitHub stars and 82 forks on GitHub has more adoption than TerminusDB with 463 GitHub stars and 21 GitHub forks.

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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 TerminusDB?

It is a database built for data people. Terminus is a model driven graph database designed specifically for the web-age. The result is unified, well-structured & refined data - the jet fuel of future business. It greatly reduces the time and effort required to build any application that shares, manipulates or edits data.

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What tools integrate with Akutan?

What tools integrate with TerminusDB?

No integrations found

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What are some alternatives to Akutan and TerminusDB?

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.

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.

See all alternatives

Akutan vs TerminusDB

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

What is Akutan?

What is TerminusDB?

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

What tools integrate with Akutan?

What tools integrate with TerminusDB?

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

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