Software Alternatives, Accelerators & Startups
Register | Login

Google BigQuery VS Automate

Compare Google BigQuery VS Automate and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google BigQuery logo Google BigQuery

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

Automate logo Automate

Automate various tasks on your Android smartphone or tablet.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Automate Landing page
    Landing page //
    2023-05-08

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.

Automate features and specs

  • User-friendly GUI
    Automate offers a visual flowchart-based interface that makes it easy for users to create automation scripts without needing extensive programming knowledge.
  • Customizability
    The app provides a high degree of customization, allowing users to create complex automation tasks tailored to their specific needs.
  • Extensive connectivity
    Automate supports a wide range of actions and triggers, including connectivity with other apps and services through intents and plugins.
  • Free with premium features
    The basic version of the app is free, with an option to unlock premium features through a one-time purchase, offering great value.
  • Active Community
    Automate has an active user community and extensive documentation, making it easier for new users to get support and find examples.

Possible disadvantages of Automate

  • Learning Curve
    Despite its user-friendly interface, there can still be a learning curve for users unfamiliar with automation concepts or flowchart-based designs.
  • Reliability
    Some users have reported occasional reliability issues, such as flows not executing correctly or inconsistency in triggers.
  • Battery Usage
    Automation tasks can sometimes lead to increased battery consumption, which may be a concern for users on devices with limited battery capacity.
  • Device-specific Limitations
    Certain features or actions may be limited or unavailable on specific devices due to hardware or OS restrictions.
  • Premium Features
    While the basic app is free, some advanced features require a paid upgrade, which may not be suitable for all users.

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

Automate videos

+ Add

How to Automate Android with the Automate App

More videos:

  • Review - ANDROID AUTO FOR ANY CAR. AUTOMATE APP REVIEW.
  • Review - Automate the Boring Stuff with Python: Review | Learn Python with this complete python course

Category Popularity

0-100% (relative to Google BigQuery and Automate)

Google BigQuery

Automate

Data Dashboard
100 100%
Data Dashboard
0% 0
Web Service Automation
0 0%
Web Service Automation
100% 100
Big Data
100 100%
Big Data
0% 0
Automation
0 0%
Automation
100% 100

User comments

Share your experience with using Google BigQuery and Automate. 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 Automate

Google BigQuery Reviews

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 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...
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
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.
Source: www.analytixlabs.co.in

Automate Reviews

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

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than Automate. It has been mentiond 42 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 (42)

  • Every Database Will Support Iceberg — Here's Why
    This isn’t hypothetical. It’s already happening. Snowflake supports reading and writing Iceberg. Databricks added Iceberg interoperability via Unity Catalog. Redshift and BigQuery are working toward it. - Source: dev.to / 30 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Many of these companies first tried achieving real-time results with batch systems like Snowflake or BigQuery. But they quickly found that even five-minute batch intervals weren't fast enough for today's event-driven needs. They turn to RisingWave for its simplicity, low operational burden, and easy integration with their existing PostgreSQL-based infrastructure. - Source: dev.to / about 1 month ago
  • How to Pitch Your Boss to Adopt Apache Iceberg?
    If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / about 1 month ago
  • Study Notes 2.2.7: Managing Schedules and Backfills with BigQuery in Kestra
    BigQuery Documentation: Google Cloud BigQuery. - Source: dev.to / 4 months ago
  • Docker vs. Kubernetes: Which Is Right for Your DevOps Pipeline?
    Pro Tip: Use Kubernetes operators to extend its functionality for specific cloud services like AWS RDS or GCP BigQuery. - Source: dev.to / 6 months ago
View more

Automate mentions (13)

  • Surveilling the Masses with Wi-Fi-Based Positioning Systems
    You can set that up pretty easily with Automate. https://llamalab.com/automate/. - Source: Hacker News / 12 months ago
  • How to capture new tickets instantly on Ticketswap?
    One could use one of the many phone automation tools to program a little script that automatically clicks the Ticketswap popup and then goes through the rest of the menus until it's in your shopping cart. Source: almost 2 years ago
  • Auto Reboot config
    In the past, I used https://llamalab.com/automate/ and it was simple to use. Back then, I had to reboot my phone at least once a day for it to work properly and Automate helped a bunch. Source: about 2 years ago
  • IPhone 15 might be a worthy successor to S10
    Zero customizability. I like to bind actions to volume buttons, scripts and programs to make my life easier (super-bright flashlight, call recording, automation). On iPhones you can... Change the wallpaper. Source: about 2 years ago
  • Is there a way to signal to the driver their car has been turned on?
    You're gonna have to get something like a bouncie bouncie.com/device $77 to buy, $8 /mo for LTE, for notification that car has been turned on. I actually don't have a bouncie, since I have a DIY system: To watch live stream of the inside of my car, I mounted on my dash, an old galaxy s4 with Alfred security camera app alfred.camera/ , the video showing the inside of my car. It’s also set to record if detecting a... Source: about 2 years ago
View more

What are some alternatives?

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

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

AutoDealer Plus - AutoDealer Plus is an all-in-one car dealer management software solution with a set of sales tools and integrated F&I products to manage your operations.

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.

Mathnary DMS - Automobile Dealership Management and Car Dealer

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.

Dealer.com - Online marketing solutions for the automotive industry

Loading...