What users are saying about
Top Rated
117 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8.8 out of 100
Based on 117 reviews and ratings
11 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener noreferrer'>trScore algorithm: Learn more.</a>Score 8.2 out of 100
Based on 11 reviews and ratings
Likelihood to Recommend
Google BigQuery
BigQuery is unlike anything we've used as a big data tool. It is perfectly suited to query large data sets quickly and to store those large data sets for any time use. It's perfect for storing data and using it for reports. Logging data is the perfect application for BigQuery, but transactional data is possible as well
Vice President of Shared Services
CloudbakersComputer Software, 51-200 employees
Hive
Hive will fit right in to any workflow that manages multiple projects. It's also a great fit for collaboration on a per-project basis as external users can collaborate with paid users. Across a very large team it would take more planning on how to fit multiple workflows and groups into the workspace but it can be done.

Verified User
Project Manager in Marketing
Higher Education Company, 501-1000 employeesFeature Rating Comparison
Database-as-a-Service
Google BigQuery
9.0
Hive
—
Automatic software patching
Google BigQuery
9.3
Hive
—
Database scalability
Google BigQuery
9.4
Hive
—
Automated backups
Google BigQuery
8.8
Hive
—
Database security provisions
Google BigQuery
8.8
Hive
—
Monitoring and metrics
Google BigQuery
8.8
Hive
—
Automatic host deployment
Google BigQuery
8.9
Hive
—
Project Management
Google BigQuery
—
Hive
7.4
Task Management
Google BigQuery
—
Hive
8.9
Resource Management
Google BigQuery
—
Hive
7.8
Gantt Charts
Google BigQuery
—
Hive
8.3
Scheduling
Google BigQuery
—
Hive
8.1
Workflow Automation
Google BigQuery
—
Hive
8.0
Team Collaboration
Google BigQuery
—
Hive
7.8
Support for Agile Methodology
Google BigQuery
—
Hive
7.7
Support for Waterfall Methodology
Google BigQuery
—
Hive
7.3
Document Management
Google BigQuery
—
Hive
8.2
Email integration
Google BigQuery
—
Hive
7.0
Mobile Access
Google BigQuery
—
Hive
5.9
Timesheet Tracking
Google BigQuery
—
Hive
6.2
Change request and Case Management
Google BigQuery
—
Hive
6.7
Budget and Expense Management
Google BigQuery
—
Hive
6.1
Professional Services Automation
Google BigQuery
—
Hive
5.9
Quotes/estimates
Google BigQuery
—
Hive
6.4
Invoicing
Google BigQuery
—
Hive
5.8
Project & financial reporting
Google BigQuery
—
Hive
6.1
Integration with accounting software
Google BigQuery
—
Hive
5.5
Pros
Google BigQuery
- How many pros can a person type? This storage program gives workers and students the reality of unlimited storage space. I have never came close to overfilling my google cloud storage because it's huge and the best. I can view anything I save on there from any of my internet devices which is very important.
- Depending on how you have the program set up - either online or through an application that lives on your desktop, dragging and dropping files to and from Cloud Storage couldn't be any more uncomplicated. Plus, new users who meet certain criteria - like updating personal security, or share the program receive additional free online storage.
- The array of tools is very impressive, intuitive to use, and well organized in the sense that you don't have to go looking for individual apps. They're all easily accessed via a single dropdown.
Head of Digital Marketing
YachtLifeInternet, 11-50 employees
Hive
- Very intuitive user interface that makes project management, tracking and collaboration easy. Multiple project visualisation options (Gantt, Kanban, calendars, tables)
- Great integration with a large number of tools

Verified User
C-Level Executive in Corporate
Computer Software Company, 11-50 employeesCons
Google BigQuery
- Though it is SQL some syntax are different but they are getting used to after you use for some time.
- The legacy SQL is in beta state but can be used and you can run the query with simple SQL.
- More documentation is needed for using User-defined functions in Big Query.

Verified User
Analyst in Information Technology
Internet Company, 11-50 employeesHive
- You can't move urgent actions to the top.
- It takes a little too much time to load up on the desktop version.
- There's definitely room for improvement in keyboard shortcuts.

Verified User
Employee in Sales
Hospital & Health Care Company, 11-50 employeesUsability
Google BigQuery
Google BigQuery 9.0
Based on 1 answer
BigQuery is a little bit difficult to learn at first. The tools are all there but it takes a few hours of practice and trial and error to be comfortable processing a large dataset. It can handle quite a bit and the cloud storage makes those experimental practice hours much easier to do in your spare time. The software is capable of doing a lot, it's just a matter of being patient and learning the ways of BigQuery.

Verified User
Employee in Professional Services
Environmental Services Company, 1-10 employeesHive
Hive 9.0
Based on 1 answer
I love Hive so much because it has made a huge difference regarding team communication and project management at the same time. We experienced almost no bugs and in the few cases that we did have some trouble, the customer service team was very responsive and solved our problems very quickly.

Verified User
Employee in Sales
Hospital & Health Care Company, 11-50 employeesSupport Rating
Google BigQuery
Google BigQuery 8.4
Based on 16 answers
I rated the overall support for Google BigQuery as a mediocre five because it has limited support from Google. Instead, it is heavily dependent on an organization's IT resources such as SQL analysts and Data Architects to run big data reports or maintain data quality. Additionally, if errors occur during a run of complex SQL queries or when sending data to Google BigQuery from other sources, Google provides basic email support which needs to be complemented with internal data warehouse support to fix the root cause of the database errors. Finally, due to constraints on the amount of data an analyst can query or pay the additional cost when exceeding the limit, basic Google support is not sufficient to meet data needs without interruption.

Verified User
Analyst in Marketing
Food & Beverages Company, 10,001+ employeesHive
Hive 9.1
Based on 5 answers
Our CSR is easily accessible and they have support built into the app itself. They also have a pretty robust support site. We also took advantage of the free trial and learned so much by putting Hive through the paces and figuring out the best way to mold it to our needs.

Verified User
Project Manager in Marketing
Higher Education Company, 501-1000 employeesAlternatives Considered
Google BigQuery
Spinning up, provisioning, maintaining and debugging a Hadoop solution can be non-trivial, painful. I'm talking about both GCE based or HDInsight clusters. It requires expertise (+ employee hire, costs). With BigQuery if someone has a good SQL knowledge (and maybe a little programming), can already start to test and develop. All of the infrastructure and platform services are taken care of. Google BigQuery is a magnitudes simpler to use than Hadoop, but you have to evaluate the costs. BigQuery billing is dependent on your data size and how much data your query touches.
Software Engineer
SportsBoard Mobile Player Assessment SolutionsResearch, 1-10 employees
Hive
I would say that in comparison to Asana, Hive is a better interface an UI. I think Asana is more robust in terms of what it can do in conjunction with Confluence but I think Hive is a better entry-level model for new employees. Hive is much simpler and more straight forward and its integration with Slack is preferred.
Director of Accounts
Business Optimization SpecialistsMarketing and Advertising, 11-50 employees
Return on Investment
Google BigQuery
- Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
- Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
- Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.
Solution Architect
Ovative/groupMarketing and Advertising, 51-200 employees
Hive
- Positive ROI comes from our whole team being on the same board. We used to have separate boards for each group.
Content Supervisor
AceableE-Learning, 51-200 employees
Pricing Details
Google BigQuery
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Google BigQuery Editions & Modules
Edition
Queries (On-Demand) | $51 |
---|---|
Queries (Hourly Flex Slots) | $42 |
Queries (Monthly Flat Rate) | $20002 |
Queries (Annual Flat Rate) | $1,7002 |
- per TB
- per 100 slots
Additional Pricing Details
—Hive
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Hive Editions & Modules
—