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Float VS Google BigQuery

Compare Float VS Google BigQuery and see what are their differences

Topolog
Topolog is a goal planner that models your plans as a directed graph and allows you to execute tasks in order, then schedules your days around them. featured
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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Float logo 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.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Float Landing page
    Landing page //
    2023-02-11

Float is the world's leading resource management software for agencies, studios, and firms. Since 2012, Float has been helping the worldโ€™s best teams including RGA, VICE, Deloitte, and Buzzfeed schedule and deliver over 5.5million tasks, in more than 150 countries.

With an easy to use, intuitive interface, drag and drop features, and powerful editing tools, Float makes planning your projects and scheduling your team's time visual and simple. Search your schedule for practically anything and track your team's utilization with powerful reporting tools. Forecast your budget spend and plan ahead based on your team's real capacity and resources.

Integrate your schedule with Slack, Google Calendar and 1,000+ of your apps via Zapier. Access and update your Float schedule from anywhere with apps for iOS and Android.

By providing a single view of your real resource capacity and a shared calendar of who's working on what, Float makes team scheduling across multiple projects faster, easier and more efficient.

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

Float

Website
float.com
Pricing URL
Official Float Pricing
$ Details
$5.0 / Monthly ($5/person scheduled/month)
Platforms
Browser iOS Android
Release Date
2012 February
Edit details

Google BigQuery

Website
cloud.google.com
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Float features and specs

  • User-Friendly Interface
    Float offers an intuitive and easy-to-navigate interface, making it accessible for users of all skill levels.
  • Collaboration Tools
    Float provides robust collaboration features, including real-time updates and team communication capabilities, which enhance team coordination.
  • Resource Management
    The platform excels at resource management, allowing for efficient allocation and tracking of team members and project resources.
  • Integrations
    Float integrates with popular tools like Slack, Trello, and Asana, streamlining workflows and improving productivity.
  • Mobile Accessibility
    With mobile accessibility, users can manage schedules and resources on-the-go, adding flexibility to their project management.

Possible disadvantages of Float

  • Cost
    Float may be considered expensive for small businesses or startups due to its subscription pricing model.
  • Limited Customization
    Users may find limitations in terms of customization options for specific needs or preferences.
  • Learning Curve
    Despite its user-friendly design, there may still be a learning curve for users who are new to project management tools.
  • Performance Issues
    Some users report occasional performance issues, such as slow loading times or lag, particularly with larger projects.
  • Reporting Features
    While adequate for basic needs, the reporting and analytics features may not be as advanced as some competitors.

Google BigQuery features and specs

  • Scalability
    BigQuery can effortlessly scale to handle large volumes of data due to its serverless architecture, thereby reducing the operational overhead of managing infrastructure.
  • Speed
    It leverages Google's infrastructure to provide high-speed data processing, making it possible to run complex queries on massive datasets in a matter of seconds.
  • Integrations
    BigQuery easily integrates with various Google Cloud Platform services, as well as other popular data tools like Looker, Tableau, and Power BI.
  • Automatic Optimization
    Features like automatic data partitioning and clustering help to optimize query performance without requiring manual tuning.
  • Security
    BigQuery provides robust security features including IAM roles, customer-managed encryption keys, and detailed audit logging.
  • Cost Efficiency
    The pricing model is based on the amount of data processed, which can be cost-effective for many use cases when compared to traditional data warehouses.
  • Managed Service
    Being fully managed, BigQuery takes care of database administration tasks such as scaling, backups, and patch management, allowing users to focus on their data and queries.

Possible disadvantages of Google BigQuery

  • Cost Predictability
    While the pay-per-use model can be cost-efficient, it can also make cost forecasting difficult. Unexpected large queries could lead to higher-than-anticipated costs.
  • Complexity
    The learning curve can be steep for those who are not already familiar with SQL or Google Cloud Platform, potentially requiring training and education.
  • Limited Updates
    BigQuery is optimized for read-heavy operations, and it can be less efficient for scenarios that require frequent updates or deletions of data.
  • Query Pricing
    Costs are based on the amount of data processed by each query, which may not be suitable for use cases that require frequent analysis of large datasets.
  • Data Transfer Costs
    While internal data movement within Google Cloud can be cost-effective, transferring data to or from other services or on-premises systems can incur additional costs.
  • Dependency on Google Cloud
    Organizations heavily invested in multi-cloud or hybrid-cloud strategies may find the dependency on Google Cloud limiting.
  • Cold Data Performance
    Query performance might be slower for so-called 'cold data,' or data that has not been queried recently, affecting the responsiveness for some workloads.

Analysis of Float

Overall verdict

  • Float is generally well-regarded and is a strong choice for teams looking for a reliable resource management solution. While it may not suit all businesses, particularly those seeking a broader project management suite, it excels in its niche.

Why this product is good

  • Float is considered good due to its user-friendly interface, robust features, and seamless integrations with various project management tools. It allows teams to efficiently plan, schedule, and track resources, ensuring optimal utilization and project efficiency.

Recommended for

  • Project managers who need to allocate resources quickly and effectively.
  • Small to medium-sized businesses looking for a straightforward resource management tool.
  • Teams that integrate with other popular project management software and need complementary resource scheduling.

Analysis of Google BigQuery

Overall verdict

  • Google BigQuery is a powerful and flexible data warehouse solution that suits a wide range of data analytics needs. Its ability to handle large volumes of data quickly makes it a preferred choice for organizations looking to leverage their data effectively.

Why this product is good

  • Google BigQuery is a fully-managed data warehouse that simplifies the analysis of large datasets. It is known for its scalability, speed, and integration with other Google Cloud services. It supports standard SQL, has built-in machine learning capabilities, and allows for seamless data integration from various sources. The serverless architecture means that users don't need to worry about infrastructure management, and its pay-as-you-go model provides cost efficiency.

Recommended for

  • Businesses requiring fast processing of large datasets
  • Organizations that already utilize Google Cloud services
  • Companies looking for a cost-effective, scalable analytics solution
  • Teams interested in using SQL for data analysis
  • Data scientists integrating machine learning with their data workflows

Float videos

+ Add

Sonic NEW Lemonberry Slush Float Review ๐Ÿ‹๐Ÿ“

More videos:

  • Review - Swimways Baby Float Review | Dude Dad
  • Review - Glorious G Float Review.. Should You Upgrade To Ceramic Mouse Feet?

Google BigQuery videos

+ Add

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 Float and Google BigQuery)

Float

Google BigQuery

Resource Scheduling
100 100%
Resource Scheduling
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Employee Scheduling
100 100%
Employee Scheduling
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Float 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 Float and Google BigQuery

Float Reviews

20 Best Capacity Planning Software Tools
Why Choose FloatIf you value simplicity and need a visual, easy-to-use tool, Float is one of the best in the market. Perfect for design and creative shops.
Source: www.supervisible.com

Google BigQuery Reviews

Database for Data Analytics
Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis, historical analyticsSnowflake, Amazon Redshift, Google BigQueryContinuously ingests and processes data with minimal latency for real-time decision-making.Fraud...
Source: blog.devart.com
Data Warehouse Tools
Google BigQuery: Similar to Snowflake, BigQuery offers a pay-per-use model with separate charges for storage and queries. Storage costs start around $0.01 per GB per month, while on-demand queries are billed at $5 per TB processed.
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
You can also use BigQueryโ€™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 โ€œheavyโ€ queries that operate using a large set of data. This means itโ€™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...
Source: www.shipyardapp.com
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

Social recommendations and mentions

Based on our record, Google BigQuery seems to be a lot more popular than Float. While we know about 47 links to Google BigQuery, we've tracked only 2 mentions of Float. 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.

Float mentions (2)

  • 2022 Accounting/time billing ideas for SW dev consulting? On my second, not really happy
    You wouldn't want something like NetSuite just for time entry. Try float.com, one of my clients uses this and it seems to be work and is simple. Source: over 4 years ago
  • Project/Team Management software/platform assistance needed
    Schedule more than one task to a team member per day i.e. Hours per task per day - float.com and avasa.com allows this. Source: almost 5 years ago

Google BigQuery mentions (47)

  • Ruby on Rails Performance: 7 Lessons from Scaling FirstPromoter
    We migrated the analytics layer to Google BigQuery. Same queries that timed out in PostgreSQL now run in under 2 seconds. But not everything belongs in BigQuery โ€” we initially moved too aggressively and actually reverted some queries back when the added complexity wasn't justified. Our rule of thumb: if a query scans hundreds of thousands of rows or involves complex time-series aggregations, BigQuery. Everything... - Source: dev.to / 4 months ago
  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Google BigQuery - For large-scale data processing and SQL-based analysis. - Source: dev.to / 5 months ago
  • What if ML pipelines had a lock file?
    Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its meaning changes. Even when teams snapshot data, those snapshots are often implicit, not recorded as part of the pipeline run itself. - Source: dev.to / 6 months ago
  • Best SQL Courses with Certificates for 2026
    SQL endures because it's the non-negotiable interface for relational data. Enterprise data storage still relies heavily on relational databases despite new alternatives. What makes SQL valuable for learners is transferabilityโ€”while dialects differ across PostgreSQL, SQL Server, and BigQuery, the fundamentals stay consistent. - Source: dev.to / 8 months ago
  • Why Your Snowflake Bill is High and How to Fix It with a Hybrid Approach
    Within classic cloud data warehouses, Google BigQuery presents a different pricing model. Its on-demand, per-terabyte-scanned pricing can be cost-effective for sporadic forensic queries. But it carries the risk of a runaway query where a single mistake leads to a massive bill. - Source: dev.to / 9 months ago
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What are some alternatives?

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

ResourceGuru - Resource management software that helps teams schedule with clarity, plan with flexibility, and deliver projects with confidence.

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

MIDAS - MIDAS is a web based Room Booking & Resource Scheduling Software system. Available to download & run on your server or as an online hosted cloud application

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”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.

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