Google BigQuery
Google BigQuery : Reviews, Pricing, Features & AlternativesGoogle BigQuery is a Big Data Mining tool. Review Google BigQuery : Overview & Pricing
Google BigQuery Overview : Features, Pricing, Reviews & Alternatives
Google BigQuery is a Big Data Mining tool intended for businesses. Let’s discover user reviews, features and prices of this business app.
Google BigQuery is listed as a Big Data Mining and Data Science for companies and is used for Business Intelligence and Analytics Data science Big data analyticss …
Google BigQuery prices are available on demand .
A fully managed data warehouse for large-scale data analytics.
What is Google BigQuery ?
Run lightning-fast SQL-like queries against terabytes of data in seconds, using the processing power of Google’s infrastructure. Load data with ease. Bulk upload your data using Google Cloud Storage or stream it. Easy access. Access BigQuery using a browser tool, a command-line tool, or by calling the BigQuery REST API with client libraries such as Java, PHP, or Python.
BigQuery is Google’s highly scalable serverless enterprise data warehouse designed to make all your data analysts productive.
It gives users the ability to build and host web applications on Google’s infrastructure.
Pros & Cons
When it comes to finding the right Big Data Mining tools to manage your business, you have too many options – and they all come with their strengths and weaknesses.
One such familiar name in this arena is Google BigQuery, and as you may have guessed from the title, this review will tell you more about Google BigQuery’s pros and cons.
Weighing the pros & cons is essential before selecting this tool for your business and your team.
Google BigQuery Pros : Key Benefits
– Everything behind the scenes: Your queries can be executed asynchronously in the background and queried on their status.
– SaaS platform.
– Scalability and integration
– Frequent releases / updates
– High Compatibility
Google BigQuery Cons
– Con : Not always the cheapest option : Big Data Mining average cost is $ 9,99 .
– Con : Custom integrations can come at a price.
Google BigQuery Features
Here is the list of the main features of this computer software :
– SaaS software
Main function & Pro Features
– Cloud Services
Google BigQuery Integrations
Google BigQuery integrates with more than 61 applications & plugins like PopSQL, Fastly and Fluentd (…) : database connection, synchronize data, share files (…) to improve your workflow and increase your productivity !
It also provides a powerful API toolkit that allows developers to build web services and exchange data.
Top 20 Google BigQuery integrations
– Fluentd
– Looker
– Chartio
– Treasure Data
– Xplenty
– Cluvio
– Fastly
– Franchise
– Numeracy
– Vero
– Retool
– Snowplow
– Cube.js
– strongDM
– Redash
– Alooma
– Mode
– Fomo
– Google BigQuery Data Transfer Service
– Jaime
Google BigQuery Pricing
The Google BigQuery pricing plan is available on request, but this price is likely to change because different options are offered by the developer : number of licenses, additional functions, add-ons, bundles …
Google BigQuery offers several pricing plans :
– Free Trial : $ 0 per user / per month
– Start : Price on demand
– Professional : Price on demand
– Enterprise : Price on demand
– Premium : Price on demand
Free Trial | Start | Professional | Enterprise | Premium |
$0 | Price on demand | Price on demand | Price on demand | Price on demand |
Per month | Per month | Per month | Per month | Per month |
Per user | Per user | Per user | Per user | Per user |
Save $$$ on SaaS and on-premise Software Subscriptions to help your create, grow and scale your business : annual billing usually is cheaper than monthly billing and you can expect 10% to 20% discount.
Sign up for a trial and start using it right away !
Free trials usually are time limited or feature limited but this is a good way to ensure it is the right option for your business before making a purchase.
Screenshot of the Vendor Pricing Page :
Pricing Details
Pricing Model : Subscription
Free trial : No information
Free plan : No information
Freemium : No information
Starting price : Prices can vary depending on your business needs.
Entry-level set up fee : No setup fee
The pricing details were last updated this year from the vendor website or retrieved from publicly accessible pricing materials and may be different from actual. Please confirm pricing and deals with the vendor website before purchasing.
Deployment & Setup
Google BigQuery is a cloud-based Big Data Mining platform : its infrastructure is hosted in the United States (probably on AWS, Microsoft Azure or Google Cloud Platform).
google-bigquery is a SaaS (Software as a Service) / web application : a web browser on a computer is required for full functionality of features and manage dashboard.
It supports desktop operating systems (like Windows and Mac OS …).
Technical Details & Specifications
Deployment : Cloud / SaaS
Desktop Operating Systems : Windows / Mac OS / Linux …
Mobile Platforms : –
Native Apps / Mobile Applications : –
GDPR compliance : No information
Supported languages
This application software supports the following languages : English …
Support & Training
Any problem with this computer program ? The vendor offers the following customer service & support to help teams get the most out of their business application : Online Support …
Hotline : Yes
Training options : …
Industry & Customers
Who use Google BigQuery ?
This software package is tailored to business needs : SME …
This web-based application is recommended for trades : Management, IT …
This cloud software is used in the sectors : Services …
Customer References
Testimonials & Customer References to decide if this is the right business software or service for your company : Agilebits, Trustpilot, Linkedin, Hewlett-Packard, Qubit, Adyogi, Sentifi …
Awards & Recognitions
No information .
Screenshots
This computer program has an ergonomic, intuitive and customizable user interface, which will improve team productivity and collaborative work within your company (Shop Manager, Small Company, SME …)
Google BigQuery Screenshots & Images : UI, dashboard …
Videos
Video #1
Google BigQuery Reviews
Here is our opinion on Google BigQuery : this is an innovative big data mining tool to experience .
Google BigQuery User Reviews & Ratings
Online and customer reviews of Google BigQuery software are quite plentiful and overall medium :
Overall rating : 3/5
Value for money : 3/5
Functionality : 3/5
Usefulness : 3/5
Ease of use : 3/5
User rating Excellent : 10%
User rating Very Good : 80%
User rating Average : 10%
User rating Poor : 0%
User rating Terrible : 0%
Everything behind the scenes: Your queries can be executed asynchronously in the background and queried on their status.
Popularity on social networks :
Your Customer Review on Google BigQuery
What is your opinion about this app ? Submit your review and tell us about your overall opinion : experience with this SaaS software, rating, ease of use, customer service, value for money, Pros & Cons …
Customer reviews and feedbacks play an increasingly important role in the business software buying process. You can provide in-depth review and share your buying advice / reviewer sentiment : what is your likelihood to recommend Google BigQuery ? What is your likelihood to renew ?
FAQs
Why use a Big Data Mining tool ?
Big data mining software allows users to apply semi-automated and predictive analytics to analyze raw data and find new ways to view information. It generally applies to very large datasets, those with many associated variables or functions, or any dataset that is too large or complex for human analysis.
According to various sources, most used business software are : Umeng (market share : 84,50%), Talend (11,40%), Microsoft Power Bi (7,70%), Keen.io (4,50%), Pig (1,20%), Context Relevant (1,00%), Amazon Machine Learning (0,90%), IBM Watson Analytics (0,20%), Metamarkets (0,10%), Arcadia Data (0,10%), GridGain (0,10%), Platfora (0,10%)
Main functions are : Data preprocessing, Cluster analysis, Anomaly detection, Process automation, Drill down, Prioritization
Main characteristics are : Big Data, Business Intelligence, Big Data, Business Intelligence, Zoom in, Tierarchy, Big Data, interactive data, data visualization, data visualization tools, power bi, microsoft power bi, bi tools, microsoft bi, Employee application, analysis visual, modern BI, data visualization platform, Big Data
Big Data Mining Average Price : from $ 9,99 to $ 9,99 with an average price of $ 9,99 . We have identified more than 97 competitors on the market.
Company details
Developed by GOOGLE, Inc. (@googlecloud on Twitter)
HQ location : USA
Founded :
Total revenue :
Industry : B2B SaaS company
Software Category : IT Management & Big Data Software > Data Science > Big Data Mining
Schema : SoftwareApplication > DeveloperApplication
Tags : …
Website : visit cloud.google.com
About This Article
This page was composed and published by SaaS-Alternatives.
The information (and product details) outlined above is provided for informational purposes only. Please Check the vendor’s website for more detailed information.
Our opinion on Google BigQuery is independent in order to highlight the strengths and weaknesses of this Big Data Mining tool. Our website is supported by our users. We sometimes earn affiliate commission when you click through the affiliate links on our website.
Google BigQuery Alternatives
If you’re understanding the drawbacks and you’re looking for a Google BigQuery alternative, there are more than 17 competitors listed on SaaS-Alternatives !
If you’re in the market for a new software solution, the best approach is to narrow down your selection and then begin a free trial or request a demo.
Top 10 Alternatives & Competitors to Google BigQuery
– Toucan Toco
– Microsoft Power Bi
– Databricks
– Beekeeper
– Zoomdata
– OpenText
– Apache Zeppelin
– Google BigQuery
– Google Cloud Dataproc
– Cooladata
SaaS alternatives
Google Cloud Bigtable : Google Cloud Bigtable gives you a fast, fully managed, and massively scalable NoSQL database service ideal for web, mobile, and IoT applications that require terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn’t require you to sacrifice speed, scalability, or cost effectiveness as your applications grow. Google has tested Cloud Bigtable for over 10 years: it’s the database that powers top apps like Google Analytics and Gmail.
Amazon Redshift : It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, or one-tenth the cost of most traditional data storage solutions.
Hadoop : The Apache Hadoop software library is a framework that enables distributed processing of large data sets across groups of computers using simple programming models. It is designed to scale from a single server to thousands of machines, each providing local compute and storage.
Snowflake : Snowflake removes the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS), with no infrastructure to manage and no knobs to turn.
Google Analytics : Google Analytics allows you to measure your return on advertising spend and track your Flash, video and social media sites and applications.
You can also take a look at other business apps, like our Symantec ServiceDesk review and our AutoDesk Fusion 360 review.
Comparison with Similar Software & Contenders
Take an in-depth look at popular IT Management & Big Data Software and Data Science to find out which one is right for your needs. Discover how these Big Data Mining compare to Google BigQuery when it comes to features, ease of use, customer support and user reviews. Explore software, Compare options and alternatives, Read reviews and Find your solution !