BigQuery Reviews & Pricing

by Google Inc. | Founded 1998, Menlo Park, CA

REQUEST WITH NO OBLIGATION$ Request Pricing Get Free Demo

Request Pricing Request Demo

Overview Pricing Benefits Reviews Features

Categories:

What is BigQuery?

Industry Specialties: Serves all industries

BigQuery, a cloud-based data warehouse offered by Google, provides businesses with a scalable and cost-effective solution for analyzing massive datasets. It eliminates the need for infrastructure management, allowing users to focus on extracting valuable insights from their data using familiar SQL and built-in machine learning capabilities. BigQuery's serverless architecture enables efficient scaling, allowing you to query terabytes of data in seconds and petabytes in minutes.

BigQuery is particularly well-suited for organizations dealing with large and complex datasets that require rapid analysis. Its ability to integrate data from various sources, including Google Cloud Platform and other cloud providers, makes it a versatile tool for businesses with diverse data landscapes. Key benefits include scalability, ease of use, and cost-effectiveness. BigQuery offers a pay-as-you-go pricing model, allowing you to only pay for the resources you consume. You are billed based on the amount of data processed by your queries and the amount of data stored.

While BigQuery offers numerous advantages, it's important to consider factors such as your specific data analytics needs and budget when comparing it to similar products. User experiences with BigQuery have generally been positive, highlighting its speed, scalability, and ease of use. However, some users have noted that the pricing structure can become complex for highly demanding workloads.

PRICE

COMPANY SIZE

DEPLOYMENT

PLATFORM

Try Before You Buy.

Request a Free Demo Today!

Request Demo

It's completely free!

User Sentiment

Based on 724 reviews:

Add your rating:

Product Screenshots and Videos

BigQuery Pricing

Based on our most recent analysis, BigQuery pricing starts at $6 (Per TiB, Usage-Based).

Get Price Quote

Price: $
$
$
$
$

i
Starting From: $6.25
Pricing Model: Per TiB, Usage-Based
Free Trial: Yes, Request for Free

Training Resources

BigQuery is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for BigQuery:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

BigQuery Benefits and Insights

Why use BigQuery?

Key differentiators & advantages of BigQuery

Forecast and Plan Ahead: Ingest large amounts of data quickly to strengthen forecasting and boost decision-making processes.
Deliver Insights: Find discrepancies in data and act on them accordingly.
Focus on Analytics and Not Infrastructure: Handles large volumes of data without putting strain on an organization’s IT resources.
Provide a User-Friendly Environment: It’s user-friendly for both technical and non-technical users. High-level knowledge is not necessary to operate the software effectively.
Speed Up Processes: Utilizes fast SQL databases to quickly and efficiently analyze terabytes worth of data.

Industry Expertise

Named a leader in 2019 by Gartner’s Magic Quadrant for Data Management Solutions, Google BigQuery serves a number of customers across different industries. Google has customers in retail, IT and media.

BigQuery Reviews

Average customer reviews & user sentiment summary for BigQuery:

724 reviews

90%

of users would recommend this product

Synopsis of User Ratings and Reviews

Based on an aggregate of BigQuery reviews taken from the sources above, the following pros & cons have been curated by a SelectHub Market Analyst.

Pros

Performance: The system can execute queries on massive amounts of data with agility, as specified by about 89% of users who mentioned performance.
Functionality: About 68% of users who reviewed functionality talked about its robust inbuilt features.
Ease of Use: The UI is simple and easy to navigate, according to about 72% of users who talked about user-friendliness.
Integration: Approximately 75% of reviewers who talked about integration said that it connects to numerous other tools seamlessly.
Scalability: All users who reviewed scalability said that the platform scales to thousands of servers.

Cons

Cost: Approximately 76% of users who mentioned cost complained that it’s expensive, and charges can rack up quickly if queries aren’t properly constructed.
Learning Curve: About 82% of users mentioned that the software has a steep learning curve.
Resources: About 89% of users who spoke about resources said that documentation and video tutorials are lacking and need improvement.
Visualization: Data visualization capabilities aren’t up to the mark, according to all users who talked about visualization.

Researcher's Summary:

Bigquery is a scalable big data warehouse solution. It enables users to pull correlated data streams using SQL like queries. Queries are executed fast regardless of the size of the datasets. It manages the dynamic distribution of workloads across computational clusters. The easy-to-navigate UI is robust and allows the user to create and execute machine learning models seamlessly. Users liked that it can connect to a variety of data analytics and visualization tools. However, users complained that query optimization is an additional hassle they have to deal with, as the solution is expensive and poorly constructed queries can quickly accumulate charges. It can be overwhelming for the non-technical user, and SQL coding knowledge is required to leverage its data analysis capabilities. Data visualization features are lacking and in need of improvement.

Key Features

Machine Learning: Comes with machine learning modules that can perform mass-segmentation and recommendations in seconds. These modules can be built and trained within minutes without ingesting data for training.
Cloud Hosted: Handles all the hardware provisioning, warehousing and hardware management from the cloud.
Real-Time Analytics: Large volumes of business data are quickly analyzed and presented to the user to ensure that insights and data discrepancies can be immediately uncovered.
Automated Backups: Data is automatically stored and backed up multiple times a day. Data histories can be easily restored to prevent loss and major changes.
Big Data Ecosystem Integrations: Integrate with other big data products such as Hadoop, Spark and Beam. Data can be directly written from the system into these products.
Data Governance: Features such as access management, filter views, encryption and more are included in the software. The product is compliant with data regulations such as the GDPR.

Limitations

Some of the product limitations include:

Data type compatibility issues with visualization tools.
Can’t be used outside Google platforms.
Limited ETL connectors.

Suite Support

Google customers will receive varying levels of support depending on whether or not they belong to G Suite, Google’s enterprise-grade suite of software.

Email: Users cannot receive email support at this time.

Phone: G Suite customers can get 24/7 phone and chat support for their products. Users should log in to their G Suite account and visit cloud.google.com/support-hub to get a hold of a representative.

Training: There are several training options available from Google as well as certification courses that can be completed. Training is self-guided or taught by instructors, and certification exams cost $200 to take. In addition, there is a resource library with documentation and videos.

Tickets: By logging in to their Google accounts, administrators can submit support tickets and monitor their progress.