Software Alternatives & Reviews

LogRhythm VS Google BigQuery

Compare LogRhythm VS Google BigQuery and see what are their differences

LogRhythm logo LogRhythm

LogRhythm is a log management, security information and event management solution for organizations.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • LogRhythm Landing page
    Landing page //
    2023-09-30
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

LogRhythm

Categories
  • Monitoring Tools
  • Log Management
  • Performance Monitoring
  • OS & Utilities
Website logrhythm.com
Pricing URL Official LogRhythm Pricing
Details $-

Google BigQuery

Categories
  • Data Management
  • Data Warehousing
  • Data Dashboard
  • Database Tools
  • ETL
  • Big Data
Website cloud.google.com
Pricing URL-
Details $

LogRhythm videos

LogRhythm SIEM Review: Gene C. (Security Engineer)

More videos:

  • Review - LogRhythm SIEM Review: Information Security Officer | Insurance
  • Review - Packets Don’t Lie: SANS Review of LogRhythm NetMon Freemium

Google BigQuery videos

No Google BigQuery videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to LogRhythm and Google BigQuery)
Monitoring Tools
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Log Management
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

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

LogRhythm Reviews

The Best Open Source Network Monitoring Tools in 2023
Description: LogRhythm NetMon Freemium is a free version of LogRhythm NetMon that provides the same enterprise-grade packet capturing and analysis capabilities as the full version. While there are limits on packet storage and data processing, it still allows users to perform network threat detection and response functions based on data packet analysis. It also provides the...
Top 11 Best SIEM Tools in 2022 For Real-Time Incident Response and Security
ArcSight ESM is good for sources ingestion and is available through the appliance, software, AWS, and Microsoft Azure. IBM Security QRadar supports the Linux platform and will focus on critical incidents. LogRhythm is an AI-based technology and can process unstructured data.
Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
Getting your focus lost in an ocean of log data can be detrimental to your work and business productivity. You know the information you need is somewhere in those logs, but don’t quite have the power to pick it out from the rest. LogRhythm is a next-generation log management platform that does all the work of unfolding your data for you. Using comprehensive algorithms and...
Source: stackify.com

Google BigQuery Reviews

Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or “heavy” queries that operate using a large set of data. This means it’s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.

Social recommendations and mentions

Based on our record, Google BigQuery seems to be a lot more popular than LogRhythm. While we know about 35 links to Google BigQuery, we've tracked only 1 mention of LogRhythm. 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.

LogRhythm mentions (1)

  • 26 best practices to secure your cloud environment
    Implement logging services such as Splunk or LogRhythm that can be used to audit activity across multiple servers and applications running on them. You should also implement monitoring services like Nagios or New Relic that can monitor system performance metrics such as CPU load and disk space usage so you know if there is any abnormal activity happening within the system at any given point in time. - Source: dev.to / over 1 year ago

Google BigQuery mentions (35)

  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 8 months ago
  • Modern data stack: scaling people and technology at FINN
    Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 8 months ago
  • Running Transformations on BigQuery using dbt Cloud: step by step
    Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 8 months ago
  • Do I need a cloud computing–based data cloud company
    You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 10 months ago
  • I used ChatGPT to get an Internship
    Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 10 months ago
View more

What are some alternatives?

When comparing LogRhythm and Google BigQuery, you can also consider the following products

Sumo Logic - Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights

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

Logz.io - Logz.io provides log analysis software with alerts, role-based access, unlimited scalability and free ELK apps. Index, search & visualize your log data!

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.