What users are saying about
89 Ratings
9 Ratings
89 Ratings
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Score 8.3 out of 101
9 Ratings
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Score 8.3 out of 101

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
Tristan Dobbs profile photo

Hive

Hive is very well suited for those looking for a team communication app that has Kanban board support and you don't want to use two different apps for project management and communication. It fails a little bit when some of your team members or bosses don't have much time to read all emails, so we still haven't found a way for them to get only important notification emails.
No photo available

Feature Rating Comparison

Database-as-a-Service

Google BigQuery
8.8
Hive
Automatic software patching
Google BigQuery
9.3
Hive
Database scalability
Google BigQuery
9.0
Hive
Automated backups
Google BigQuery
8.2
Hive
Database security provisions
Google BigQuery
9.0
Hive
Monitoring and metrics
Google BigQuery
8.6
Hive
Automatic host deployment
Google BigQuery
9.1
Hive

Project Management

Google BigQuery
Hive
7.0
Task Management
Google BigQuery
Hive
8.6
Resource Management
Google BigQuery
Hive
7.2
Gantt Charts
Google BigQuery
Hive
7.4
Scheduling
Google BigQuery
Hive
8.2
Workflow Automation
Google BigQuery
Hive
7.8
Team Collaboration
Google BigQuery
Hive
7.4
Support for Agile Methodology
Google BigQuery
Hive
7.7
Support for Waterfall Methodology
Google BigQuery
Hive
7.5
Document Management
Google BigQuery
Hive
8.3
Email integration
Google BigQuery
Hive
5.3
Mobile Access
Google BigQuery
Hive
5.7
Timesheet Tracking
Google BigQuery
Hive
5.7
Change request and Case Management
Google BigQuery
Hive
5.3
Budget and Expense Management
Google BigQuery
Hive
6.0

Professional Services Automation

Google BigQuery
Hive
5.5
Quotes/estimates
Google BigQuery
Hive
6.0
Invoicing
Google BigQuery
Hive
5.3
Project & financial reporting
Google BigQuery
Hive
5.7
Integration with accounting software
Google BigQuery
Hive
5.0

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.
Sam Lepak profile photo

Hive

  • Time tracking.
  • Project flow tracking.
  • Information integration.
John Bianchi profile photo

Cons

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.
No photo available

Hive

  • Organizing tasks by assignees could be better. It's a little cumbersome to check off each person you want. Can you group these?
  • I don't really use any view besides task view. Is there something better I could be using?
  • It would be nice if attachments showed up in a nicer format, maybe with a preview?
Cameron Michael Rhoads profile photo

Usability

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.
No photo available

Hive

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.
No photo available

Support

Google BigQuery

Google BigQuery 8.7
Based on 3 answers
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
Tristan Dobbs profile photo

Hive

Hive 10.0
Based on 2 answers
I always felt like the support was awesome!
No photo available

Alternatives 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.
Csaba Toth profile photo

Hive

I prefer Hive because we are able to connect and share with our local network
Tera Ogorzalek profile photo

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.
Alex Andrews profile photo

Hive

  • Workflow Management will help you better move your projects along which saves time and money.
  • Time tracking will allow you to better manage the hours and keep your contractors accountable.
  • Overall visibility of projects allow you to keep your margins down and combat "bleeding" and hidden costs or surprises.
John Bianchi profile photo

Pricing Details

Google BigQuery

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Hive

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

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