Software Alternatives, Accelerators & Startups

logit.io VS Google BigQuery

Compare logit.io VS Google BigQuery and see what are their differences

logit.io logo logit.io

Logit.io provides complete observability of logs, metrics and traces. The platform also offers alerting & monitoring, as well as Prometheus, OpenSearch & Grafana. Ingest any type of data to see real-time insights about your applications and services

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • logit.io Landing page
    Landing page //
    2021-08-11

Centralise logs, metrics and traces into a single platform for observability with Logit.io. The Logit.io platform provides complete data reporting, monitoring and alerting by harnessing the best open source tools including ELK, OpenSearch, Prometheus & Grafana.

As the Logit.io platform operates in compliance with GDPR, HIPAA, SOC 2 and is ISO 27001 & PCI Service Provider certified, you can rest assured that we uphold the best security standards possible to protect our user’s data and information security interests. The platform can also be used to meet compliance with the Cybersecurity Maturity Model certification for the following ID numbers AU.2.041, AU.2.042, AU.2.044, AU.3.045, AU.3.046, AU.3.048, AU.3.049, AU.3.050, AU.3.051 and AU.3.052.

In addition to this, our platform can also be used to detect and mitigate issues such as Log4Shell CVE-2021-44228.

Whether you need to conduct application performance monitoring, log management, infrastructure monitoring, SIEM, or data visualisation, the Logit.io platform is here to provide a complete platform for data management and analysis.

  • Google BigQuery Landing page
    Landing page //
    2023-10-03

logit.io

Website
logit.io
$ Details
paid Free Trial $0.74 (per GB per day)
Platforms
Ruby Java Python .Net GoLang Log4net Logary Node JS Fastly CloudFront Windows Google Chrome Linux iOS REST API Slack Apache Windows IIS
Release Date
2014 November

logit.io features and specs

  • Retention Period: 365+ days with Enterprise
  • Free Trial: 14-day free trial, no credit card required
  • Grafana: Unlimited
  • ELK Stack: Unlimited
  • Logs Per Day: 2GB - 15TB+ with Enterprise
  • Users: Unlimited
  • Search and Filtering: Yes
  • Stack Version Management: Yes
  • Logging: Yes
  • Metrics: Yes
  • Elasticsearch Cluster: Yes
  • Logstash: Yes
  • Kibana: Yes
  • Custom Visualisations and Dashboards: Yes
  • Saved Searches: Yes
  • Integrations (Slack, Pagerduty, etc): Yes
  • Preconfigured Log/Metric Collection: Yes
  • Custom Log/Metric Collection: Yes
  • Auto-scaling: Yes
  • Over-usage Protection: Yes
  • Preconfigured Logstash Parsing: Yes
  • Two Factor Authentication (2FA): Yes
  • Role Based Access Control: Yes
  • Audit Log: Yes
  • Help Centre: Yes

Google BigQuery features and specs

No features have been listed yet.

logit.io videos

No logit.io videos yet. You could help us improve this page by suggesting one.

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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

Category Popularity

0-100% (relative to logit.io 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 logit.io and Google BigQuery

logit.io Reviews

The Top 14 Free and Open Source SIEM Tools For 2022
SIEM as a Service is Logit.io’s managed offering providing all of the key components required for organisations to secure their operations at one of the most affordable rates in the industry.
Source: logit.io

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 more popular. It has been mentiond 35 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.

logit.io mentions (0)

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

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 / 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 / 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: 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

What are some alternatives?

When comparing logit.io and Google BigQuery, you can also consider the following products

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.

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

AppOptics - Application performance management and infrastructure monitoring.

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.

OpenStudio - OpenStudio is a platform that offers business management tools to users to save their time and money in performing certain tasks.

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.