Software Alternatives, Accelerators & Startups

Google BigQuery VS LNAV

Compare Google BigQuery VS LNAV and see what are their differences

Google BigQuery logo Google BigQuery

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

LNAV logo LNAV

The Log File Navigator (lnav) is an advanced log file viewer for the console.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • LNAV Landing page
    Landing page //
    2022-10-04

Google BigQuery videos

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

LNAV videos

LNAV: Easy Color Coded Real Time Log File Viewer for Linux

Category Popularity

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

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.

LNAV Reviews

Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
If Enterprise-level log management tool is overwhelming you by now, you may want to look into LNAV — an advanced log data manager intended to be used by smaller-scale IT teams. With direct terminal integration, it can stream log data as it is incoming in real-time. You don’t have to worry about setting anything up or even getting an extra server; it all happens live on your...
Source: stackify.com

Social recommendations and mentions

Based on our record, LNAV should be more popular than Google BigQuery. It has been mentiond 60 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 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 / 9 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 / 9 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 / 10 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: 11 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: 11 months ago
View more

LNAV mentions (60)

  • Ask HN: Interesting TUIs (text user interfaces), maybe forgotten ones?
    The Logfile Navigator (https://lnav.org) is a log file viewer/merger/tailer for the terminal. It has some advanced UX features, like showing previews of operations and displaying context sensitive help. For example, the preview for filtering out logs by regex is to highlight the lines that will be hidden in red. This can make crafting the right regex a bit easier since the preview updates as you type. lnav... - Source: Hacker News / 28 days ago
  • Angle-grinder: Slice and dice logs on the command line
    See https://lnav.org for a powerful mini-ETL CLI power tool; it embeds SQLite, supports ~every format, has great UX and easily handles a few million rows at a time. - Source: Hacker News / about 1 month ago
  • Toolong: Terminal application to view, tail, merge, and search log files
    The code base seems like a good reference as a small Python project. My fav option in this class of apps: https://lnav.org/ It lets you use journalctl with pipes as requested here: https://github.com/Textualize/toolong/issues/4. - Source: Hacker News / 4 months ago
  • Logdy.dev – web based logs viewer UI for local development environment
    For local development, I cannot recommend lnav[1] enough. Discovering this tool was a game changer in my day to day life. Adding comments, filtering in/out, prettify and analyse distribution is hard to live without now. I don't think a browser tool would fit in my workflow. I need to pipe the output to the tool. [1] https://lnav.org/. - Source: Hacker News / 4 months ago
  • Logdy.dev – web based logs viewer UI for local development environment
    If it's just files, lnav [1] is pretty good. [1] https://lnav.org/. - Source: Hacker News / 4 months ago
View more

What are some alternatives?

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

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

BareTail - BareTail is a real-time log file monitoring tool. Features Real-time file viewing

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.

glogg - glogg is a multi-platform GUI application to browse and search through long or complex log files.

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.

klogg - klogg is the fork of glogg - the fast, smart log explorer.