Cassandra vs. Hadoop vs. InfluxDB

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Cassandra

Hadoop

InfluxDB

Favorites

57

Favorites

45

Favorites

32

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  • 1.15K

GitHub Stats

Description

What is Cassandra?

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

What is Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

What is InfluxDB?

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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Why do you like Cassandra?

Pros
Why do you like Hadoop?

Pros
Why do you like InfluxDB?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for InfluxDB

Companies

278 Companies Using Cassandra
208 Companies Using Hadoop
89 Companies Using InfluxDB

Integrations

Cassandra Integrations
Hadoop Integrations
InfluxDB Integrations

Latest News

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Using Instaclustr and Cassandra with Kong
Cassandra Query Language
Elasticsearch for Apache Hadoop 6.2.0 Released
How to Get Hadoop Data into a Python Model
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
A Deep Dive into InfluxDB


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