Software Alternatives, Accelerators & Startups

Ganttic VS Google BigQuery

Compare Ganttic VS Google BigQuery and see what are their differences

Ganttic logo Ganttic

Ganttic is a flexible resource management platform for scheduling teams, equipment, vehicles and multiple projects simultaneously. Save time, eliminate double bookings, and increase efficiency.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Ganttic Landing page
    Landing page //
    2021-07-05

With a real-time overview of your organization's resources, projects, and tasks, Ganttic simplifies resource scheduling and management. Visual Gantt charts help you to not only allocate resource quickly, but check in on the progress of your projects. While features such as drag and drop scheduling make it easy to update plans smoothly and on-the-go.

With Ganttic you can make a clear plan of action for your projects and their capacity planning. Plus, built in metrics such as utilization tracking ensures you're getting the best efficiency from your team. Create plans from the POV of resources or projects, switching at anytime for new insights.

All this plus automated reports, unlimited sharing and users, and world-class customer support make Ganttic the perfect planner for your resource planning. For the past 10 years Ganttic has been serving clients from every industry and in every corner of the world. Start with a free trial and see why!

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

Ganttic

$ Details
freemium $25.0 / Monthly (Pro 20: up to 20 resources, unlimited users)
Platforms
Browser REST API Web Android iOS
Release Date
2010 August

Ganttic features and specs

  • Drag and drop: Yes
  • Reporting: Yes
  • API: Yes
  • Project Management: Yes
  • Resource Management: Yes
  • Project Tracking: Yes
  • Gantt Timeline: Yes
  • Kanban board: Yes
  • Time Tracking: Yes
  • Time Tracking Reports: yes
  • Free Trial: Yes
  • Workflow Management: Yes
  • Customizable: Yes
  • Share: yes
  • Cloud-based: Yes
  • Google Calendar Sync: Yes
  • SSO Integration: Yes

Google BigQuery features and specs

No features have been listed yet.

Ganttic videos

Ganttic | Resource Planning Software

More videos:

  • Review - Ganttic - List and Single View for Projects
  • Review - Ganttic - Setup Projects

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 Ganttic and Google BigQuery)
Resource Scheduling
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Employee Scheduling
100 100%
0% 0
Big Data
0 0%
100% 100

Questions and Answers

As answered by people managing Ganttic and Google BigQuery.

Why should a person choose your product over its competitors?

Ganttic's answer

Ganttic is for managers unsatisfied with their one-size-fits-all software, and anyone who is looking for something more customizable, flexible and personalized.

User comments

Share your experience with using Ganttic and Google BigQuery. 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 Ganttic and Google BigQuery

Ganttic Reviews

We have no reviews of Ganttic yet.
Be the first one to post

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 36 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.

Ganttic mentions (0)

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

Google BigQuery mentions (36)

  • Next.js Deployment: Vercel's Charm vs. GCP's Muscle
    GCP offers a comprehensive suite of cloud services, including Compute Engine, App Engine, and Cloud Run. This translates to unparalleled control over your infrastructure and deployment configurations. Designed for large-scale applications, GCP effortlessly scales to accommodate significant traffic growth. Additionally, for projects heavily reliant on Google services like BigQuery, Cloud Storage, or AI/ML tools,... - Source: dev.to / 4 days ago
  • 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 / 10 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 / 10 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 / 11 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: about 1 year ago
View more

What are some alternatives?

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

Float - The leading resource management software for agencies, studios, and firms. With a simple, drag and drop interface and powerful editing tools, Float saves you time and keeps projects on track.

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

ResourceGuru - The fast, simple way to schedule people, equipment, and other resources online.

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.

When I Work - When I Work is an employee scheduling and communication app using the web, mobile apps, text messaging, social media, and email.

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.