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Thomson Reuters Datastream VS Google Cloud Dataproc

Compare Thomson Reuters Datastream VS Google Cloud Dataproc and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Thomson Reuters Datastream Landing page
    Landing page //
    2021-10-16
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Thomson Reuters Datastream videos

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

Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to Thomson Reuters Datastream and Google Cloud Dataproc)

Thomson Reuters Datastream

Google Cloud Dataproc

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Time Series Database
100 100%
Time Series Database
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Thomson Reuters Datastream and Google Cloud Dataproc. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Google Cloud Dataproc seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Thomson Reuters Datastream mentions (0)

We have not tracked any mentions of Thomson Reuters Datastream yet. Tracking of Thomson Reuters Datastream recommendations started around Mar 2021.

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing Thomson Reuters Datastream and Google Cloud Dataproc, you can also consider the following products

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

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

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.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Spotify Heroic - Heroic time series database.

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

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