Software Alternatives, Accelerators & Startups

Google BigQuery VS MadMapper

Compare Google BigQuery VS MadMapper and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Google BigQuery logo Google BigQuery

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

MadMapper logo MadMapper

The Mapping Software
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • MadMapper Landing page
    Landing page //
    2022-09-16

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.

MadMapper features and specs

  • User-Friendly Interface
    MadMapper features a highly intuitive and visually-oriented interface, making it relatively easy for beginners to get started and for experienced users to work efficiently.
  • Versatile Mapping Capabilities
    The software supports a wide range of mapping possibilities, including 2D and 3D projection, LED mapping, and laser control, allowing for versatile creative expression.
  • Real-time Preview
    MadMapper provides real-time preview capabilities, which enables users to see the effects of their adjustments immediately, thereby streamlining the workflow.
  • Cross-Platform Compatibility
    MadMapper is available on both macOS and Windows, ensuring that users on different operating systems can utilize the software without compatibility issues.
  • Extensive Content Library
    The software comes with an extensive library of sample media and templates, which can be handy for users who need quick assets for their projects.

Possible disadvantages of MadMapper

  • High Cost
    MadMapper comes with a relatively high price tag, which may be a barrier for hobbyists or small businesses with limited budgets.
  • Steep Learning Curve for Advanced Features
    While the basic interface is user-friendly, mastering the more advanced features can require a considerable time investment, particularly for users who are new to projection mapping.
  • Resource-Intensive
    The software can be resource-intensive, requiring a robust computer setup to run smoothly, especially when dealing with complex projects involving high-resolution media.
  • Limited Customer Support
    Some users have reported that official customer support can be slow to respond, which can be a disadvantage for those needing quick assistance with issues or questions.
  • No Mobile App
    MadMapper does not currently offer a mobile app version, limiting its usability to desktop and laptop environments only.

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

Analysis of MadMapper

Overall verdict

  • Yes, MadMapper is considered a good tool, especially for artists and professionals focusing on projection mapping and visual installations. Its robust functionality, combined with ease of use, makes it a preferred choice.

Why this product is good

  • MadMapper is highly regarded for its powerful features designed for video mapping and LED mapping. It is appreciated for its user-friendly interface, which allows both beginners and professionals to create intricate projections. Moreover, it supports various video formats and integrates well with other creative software, making it versatile for multimedia projects.

Recommended for

  • Visual artists looking to create projection mapping installations
  • Event organizers needing dynamic and interactive visuals
  • Designers interested in LED mapping for immersive experiences
  • Educators and students in the field of multimedia and digital arts

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

MadMapper videos

MadMapper MiniMAD Demo & Review

More videos:

  • Review - MadMapper Analysis
  • Tutorial - Interactive Wall Kit: How to set up projection mapping with MadMapper

Category Popularity

0-100% (relative to Google BigQuery and MadMapper)
Data Dashboard
100 100%
0% 0
3D
0 0%
100% 100
Big Data
100 100%
0% 0
Audio & Music
0 0%
100% 100

User comments

Share your experience with using Google BigQuery and MadMapper. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Google BigQuery and MadMapper

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...
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

MadMapper Reviews

7 Best Projection Mapping Software 2024 (#1 Video Mapper)
Buy MadMapper: Starts at 449โ‚ฌ one time (about $512.12), for committed visual artists, stage designers, and multimedia production companies that want full lifetime access to MadMapper.
Exploring the top 10 World of LCD Projector Mapping Softwares
MadMapper is a widely recognized software known for its user-friendly interface and powerful features. It offers real-time projection mapping capabilities that facilitate the overlaying of videos, images, and animations onto any surface. With its intuitive tools, users can easily reposition and manipulate content to create stunning projections. This MadMapper offers a nce...
Top 7 Alternatives to MadMapper โ€“ Amplify Your Projection Mapping Projects!
Projection mapping has become increasingly popular in recent years, transforming ordinary objects into captivating visual displays. MadMapper has long been a favored software tool for projection mapping enthusiasts, allowing users to create stunning projections with ease. However, if youโ€™re looking to explore other options or seeking additional functionality, we have...
Source: www.uubyte.com
5+ best video mapping software for PC
MadMapper is backed by a big community, so they keep updating the software constantly, which is why it has new features such as a Dark User Interface, a live editor to code your own materials, and an online library to share the materials.
Top 5 VJ Softwares In 2021
If youโ€™ve been keen to start VJing as a career or even just thought about taking it up part-time to make some extra money on the weekends, chances are youโ€™ve heard of tools like Resolume or MadMapper.

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than MadMapper. It has been mentiond 47 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 (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 / 3 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 / 4 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 / 5 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 / 7 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 / 8 months ago
View more

MadMapper mentions (8)

  • Bridging Madmapper and Web: A Real-world Integration Story Guide
    I recently faced a challenge when trying to connect Madmapper to a web application. Since Madmapper only accepts OSC (Open Sound Control) messages, integrating it directly with today's web and mobile technologies was tricky. To overcome this limitation, I built a workaround using Firebase and Node.js โ€” and I'm sharing this guide in case anyone else runs into the same problem. - Source: dev.to / over 1 year ago
  • NestDrop Midnight Edition v23.15 - PRO VERSION FREE DOWNLOAD
    โ‡’ Resolume โ‡’ NestMap โ‡’ TouchDesigner โ‡’ MadMapper โ‡’ Any other software listed on the Spout website. Source: about 3 years ago
  • Shared control of pixel-mapped LED fixtures
    Letโ€™s assume these are traditional DMX controlled fixtures - (ie, Colour Force 72). Use something like mad mapper to merge your two sources. While not easy - it is very straightforward. Source: over 3 years ago
  • Simple Projection Mapping Player?
    You also have Millumin and MadMapper for both Windows and Mac, and FaรงadeSignage on Windows. Source: almost 4 years ago
  • 4k video sliced to nine 720p videos for videowall
    Ive done a number of these sets ups and there should be software to break up the comp for you. The workflow ive used the past is make one 4k comp and then send it thru https://madmapper.com or similar. If you HAVE to do it the way you describe check out render region of interest. Source: over 4 years ago
View more

What are some alternatives?

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

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

QLab - QLab, Live show control for Mac OS X.

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.

Resolume - Resolume is an application for live video performances.

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.

VPT - VPT 8 by HC Gilje, released may 2018. Video Projection Tool (VPT) is a free multipurpose realtime projection software tool for Mac and Windows. VPT 7 was downloaded over 100000 times, so in spite oโ€ฆ