Software Alternatives, Accelerators & Startups

Thomson Reuters Datastream VS MapR Converged Data Platform

Compare Thomson Reuters Datastream VS MapR Converged Data Platform and see what are their differences

Thomson Reuters Datastream logo Thomson Reuters Datastream

Thomson Reuters Datastream is a financial time series database that allows to identify and examine trends, generate and test ideas and develop view points on the market.

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.
  • Thomson Reuters Datastream Landing page
    Landing page //
    2021-10-16
  • MapR Converged Data Platform Landing page
    Landing page //
    2022-10-08

Thomson Reuters Datastream videos

SEGMEN : LITERACY TALK WITH LIBRARIAN "INTRODUCTION TO THOMSON REUTERS DATASTREAM EIKON"

MapR Converged Data Platform videos

Lab Video Summary - MapR Converged Data Platform with MapR Streams

Category Popularity

0-100% (relative to Thomson Reuters Datastream and MapR Converged Data Platform)
Databases
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Time Series Database
100 100%
0% 0
Development
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Thomson Reuters Datastream and MapR Converged Data Platform, you can also consider the following products

InfluxData - Scalable datastore for metrics, events, and real-time analytics.

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

KX - Kx Systems has a high-performance vector database, kdb+, with a built-in programming language, q, that sets the standard for time-series analytics.

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

Spotify Heroic - Heroic time series database.

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