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Clustrix VS MapR Converged Data Platform

Compare Clustrix VS MapR Converged Data Platform and see what are their differences

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Clustrix logo Clustrix

Clustrix is the leading scale-out SQL database engineered for the cloud.

MapR Converged Data Platform logo MapR Converged Data Platform

An enterprise-grade distributed data platform that you can trust to reliably store and process big and fast data.
  • Clustrix Landing page
    Landing page //
    2023-06-17
  • MapR Converged Data Platform Landing page
    Landing page //
    2022-10-08

Clustrix videos

+ Add

Clustrix Employee Reviews - Q3 2018

More videos:

  • Review - Clustrix - Scaleout SQL Database Engineered for the Cloud
  • Review - Photobox CTO, Graham Hobson, describes the benefits of Clustrix

MapR Converged Data Platform videos

+ Add

Lab Video Summary - MapR Converged Data Platform with MapR Streams

Category Popularity

0-100% (relative to Clustrix and MapR Converged Data Platform)

Clustrix

MapR Converged Data Platform

NoSQL Databases
100 100%
NoSQL Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Databases
100 100%
Databases
0% 0
Development
38 38%
Development
62% 62

User comments

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What are some alternatives?

When comparing Clustrix and MapR Converged Data Platform, you can also consider the following products

Realm.io - Realm is a mobile platform and a replacement for SQLite & Core Data. Build offline-first, reactive mobile experiences using simple data sync.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

ObjectBox - ObjectBox empower edge computing with an edge device database and synchronization solution for Mobile & IoT. Store and sync data from edge to cloud.

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

CompactView - Viewer for Microsoft® SQL Server® CE database files (sdf)

SingleStore - SingleStore DB is a high-performance SQL compliant relational database management tool that offers data processing, ingesting, and transaction processing.

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