BigQuery
by Google Inc. | Founded 1998, Menlo Park, CA
Categories:
What is BigQuery?
Industry Specialties: Serves all industries
Google BigQuery is a serverless solution that can handle large volumes of data and apply standard and sophisticated analytics techniques to deliver actionable insights to users.
It comes with a number of standard and unique inclusions to help technical and non-technical users perform analysis, deliver reports, create dashboards and generate insights.
PRICE
$
$
$
$
$
COMPANY SIZE
DEPLOYMENT
PLATFORM
Try Before You Buy.
Request a Free Demo Today!
Request Demo
It's completely free!
Product Screenshots and Videos
BigQuery Pricing
Based on our most recent analysis, BigQuery pricing and cost details are described here:
- Price
- $$$$$
- Starting From
- Still gathering data
- Pricing Model
- Still gathering data
- Free Trial
- Still gathering data
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
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
Cons
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.
mail_outlineEmail: Users cannot receive email support at this time.
phonePhone: 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.
schoolTraining: 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.
local_offerTickets: By logging in to their Google accounts, administrators can submit support tickets and monitor their progress.
Compare Big Data Analytics Tools
Compare Big Data Analytics Tools
Head-to-Head
Comparison
vs
