Software Alternatives & Reviews

Google Cloud Dataflow VS LogicMonitor

Compare Google Cloud Dataflow VS LogicMonitor and see what are their differences

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

LogicMonitor logo LogicMonitor

LogicMonitor is the SaaS performance monitoring platform for the world's best IT teams. Deploy Fast, Monitor More, Improve Ops.
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03
  • LogicMonitor Landing page
    Landing page //
    2023-10-18

Google Cloud Dataflow videos

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

LogicMonitor videos

An Introduction to LogicMonitor

More videos:

  • Review - Step Inside LogicMonitor [OUTDATED 2/4/20]
  • Review - Ted Baker Customer Fireside Chat | LogicMonitor Level Up Event June 2019

Category Popularity

0-100% (relative to Google Cloud Dataflow and LogicMonitor)
Big Data
100 100%
0% 0
Monitoring Tools
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Log Management
0 0%
100% 100

User comments

Share your experience with using Google Cloud Dataflow and LogicMonitor. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Google Cloud Dataflow and LogicMonitor

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

LogicMonitor Reviews

Top 10 PRTG Alternatives for Monitoring Networks and IT Infrastructure
If you’re not looking to be overwhelmed with network alerts, consider using LogicMonitor to automatically identify and take action for the most important alerts with 90% less noise.
7 Best Containerization Software Solutions of 2022
LogicMonitor’s dynamic topology mapping feature provides an at-a-glance view of your entire infrastructure, including networks, servers, containers, and more.
Source: techgumb.com
8 Dynatrace Alternatives to Consider in 2021
LogicMonitor is a massive proponent of hybrid IT. It is extensible and secure infrastructure monitoring on a single platform. With over 2,000 integrations available, it is a powerful package with many features that support configuration monitoring and AIOps early warning systems.
Source: scoutapm.com
Best New Relic Alternatives for Application Performance Monitoring (Cloud & SaaS)
Their Auto-Discover feature scans your systems and pulls data and information into easy to read graphs and data points that help you manage and monitor pain points. LogicMonitor helps you be more proactive about monitoring mission critical systems and lets you look at historical data to plan for future growth and capacity planning.
15 Best IT Monitoring Tools and Software
LogicMonitor offers monitoring templates and frequently expands to include new features that increase its functionality.
Source: blog.inedo.com

Social recommendations and mentions

Based on our record, Google Cloud Dataflow seems to be more popular. It has been mentiond 14 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 Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 1 year ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 2 years ago
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LogicMonitor mentions (0)

We have not tracked any mentions of LogicMonitor yet. Tracking of LogicMonitor recommendations started around Mar 2021.

What are some alternatives?

When comparing Google Cloud Dataflow and LogicMonitor, you can also consider the following products

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

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

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

Dynatrace - Cloud-based quality testing, performance monitoring and analytics for mobile apps and websites. Get started with Keynote today!

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

Zabbix - Track, record, alert and visualize performance and availability of IT resources