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Axibase Time Series Database VS Google Cloud Dataproc

Compare Axibase Time Series Database VS Google Cloud Dataproc and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Axibase Time Series Database logo Axibase Time Series Database

ATSD is purpose-built for analyzing and reporting on massive volumes of time-series data collected...

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Axibase Time Series Database Landing page
    Landing page //
    2021-07-24
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Axibase Time Series Database videos

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Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to Axibase Time Series Database and Google Cloud Dataproc)

Axibase Time Series Database

Google Cloud Dataproc

Office & Productivity
100 100%
Office & Productivity
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Axibase Time Series Database 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.

Axibase Time Series Database mentions (0)

We have not tracked any mentions of Axibase Time Series Database yet. Tracking of Axibase Time Series Database 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 Axibase Time Series Database and Google Cloud Dataproc, you can also consider the following products

Celonis - Celonis offers process mining tool for analyzing & visualizing business processes.

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

Soroco Scout Platform - Scout Platform is an artificial intelligence bases process mining and execution management software, helps large enterprises, Visualize their entire process in one place with interactive task maps that allow teams to work collaboratively.

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

Software AG webMethods - Software AG’s webMethods enables you to quickly integrate systems, partners, data, devices and SaaS applications

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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