Logz.io VS Google BigQuery

Logz.io Reviews

Google BigQuery Reviews

Logz.io mentions (26)

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Logz.io — Free up to 1 GB/day, one day retention. - Source: dev.to / 3 months ago

• 10 Best performance monitoring tools

  Logz.io is like a cloud-based control center for your applications, systems, and infrastructure. It keenly observes their performance and health and provides you with any required insights that will help with the smooth running of your digital platform. With its log management, metrics analysis, and distributed tracing capabilities, Logz.io is one of the best performance monitoring tools to ensure your tech stack... - Source: dev.to / 5 months ago

• What strategy to go with in order to save data logs in DB tables?

  You better use a logs tool like logz.io or something, Don't re-invent the wheel. Source: 12 months ago

• Log Retention "SIEM" to complement Huntress

  However, if you don't have the resources to manage something, solutions like the one above can get VERY expensive and even managed purpose built solutions like https://logz.io/ can get pricy. I think logz.io is the closest you will get to a no frills log storage platform. Source: about 1 year ago

• Top 11 Splunk Alternatives that you may consider in 2023

  Logz.io is an observability and security monitoring tool that provides cloud-based log analytics targeted at data security and minimizing the need for capacity management. - Source: dev.to / about 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 / 9 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