Software Alternatives & Reviews

Google Cloud Dataproc VS OpenCensus

Compare Google Cloud Dataproc VS OpenCensus and see what are their differences

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

OpenCensus logo OpenCensus

Application and Data, Monitoring, and Monitoring Tools
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09
  • OpenCensus Landing page
    Landing page //
    2023-05-25

Google Cloud Dataproc videos

Dataproc

OpenCensus videos

Custom metrics with OpenCensus

More videos:

  • Review - OpenTelemetry: Overview & Backwards Compatibility of OpenTracing + OpenCensus - Steve Flanders
  • Review - OpenTelemetry: Overview & Backwards Compatibility of OpenTracing + OpenCensus - Steve Flanders

Category Popularity

0-100% (relative to Google Cloud Dataproc and OpenCensus)
Data Dashboard
100 100%
0% 0
Dev Ops
0 0%
100% 100
Big Data
100 100%
0% 0
Monitoring Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, OpenCensus should be more popular than Google Cloud Dataproc. It has been mentiond 13 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.

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 / almost 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

OpenCensus mentions (13)

  • OpenTelemetry Journey #01 - Important concepts
    First of all, let's start with the basics. There are some important concepts to be clarified before we dive into the OpenTelemetry world. The vast majority of the naming conventions and concepts are from projects and papers that inspired OpenTelemetry, such as OpenTracing, OpenCensus and Dapper. - Source: dev.to / about 1 month ago
  • OpenTelemetry Journey #00 - Introduction to OpenTelemetry
    OpenTelemetry it's a result from the merge of two important projects that are now archived: OpenTracing and OpenCensus. The project is incubated in Cloud Native Computing Foundation (CNCF) and has a strong community behind it. The CNCF is part of the Linux Foundation and hosts critical components of the global technology infrastructure, including Kubernetes and Prometheus. Currently, OpenTelemetry is the second... - Source: dev.to / 2 months ago
  • Distributed Tracing with OpenTelemetry - Part I
    OpenTelemetry was born from the merger of two other standards that decided to unify forces instead of competing with each other; these projects were OpenTracing and OpenCensus. - Source: dev.to / over 1 year ago
  • Google Cloud Reference
    OpenCensus: Cloud native observability framework 🔗Link. - Source: dev.to / over 1 year ago
  • Tracing Gorm queries with OpenCensus & Google Cloud Tracing
    At incident.io we use gorm.io as the ORM library for our Postgres database, it's a really powerful tool and one I'm very glad for after years of working with hand-rolled SQL in Go & Postgres apps. You may have seen from our other blog posts that we're heavily invested in tracing, specifically with Google Cloud Tracing via OpenCensus libraries. A huge amount of our application's time is spent talking to Postgres... - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing Google Cloud Dataproc and OpenCensus, you can also consider the following products

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

OpenTracing - Consistent, expressive, vendor-neutral APIs for distributed tracing and context propagation.

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

Thanos.io - Open source, highly available Prometheus setup with long term storage capabilities.

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

InsightCat - Full-stack monitoring platform for your software and hardware. InsightCat is a cloud-based and AI-powered solution to enhance your system health estate through infrastructure monitoring and alerting capabilities.