What users are saying about
Top Rated
120 Ratings
23 Ratings
Top Rated
120 Ratings
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Score 8.8 out of 100
23 Ratings
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Score 7.9 out of 100

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 | TrustRadius Reviewer

Vertica

Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.
Eva Donaldson | TrustRadius Reviewer

Feature Rating Comparison

Database-as-a-Service

Google BigQuery
9.0
Vertica
Automatic software patching
Google BigQuery
9.3
Vertica
Database scalability
Google BigQuery
9.4
Vertica
Automated backups
Google BigQuery
8.8
Vertica
Database security provisions
Google BigQuery
8.8
Vertica
Monitoring and metrics
Google BigQuery
8.8
Vertica
Automatic host deployment
Google BigQuery
8.8
Vertica

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 | TrustRadius Reviewer

Vertica

  • Extremely fast query performance - Vertica is one of the fastest query engines out there.
  • Scales to TBs - Scales reasonably well up to 10-20 nodes and 10 - 100s of TB of data.
  • Easy to Use - Fairly easy to user, we made quite some headway with just 1 person running it for a while.
Praveen Murugesan | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

Vertica

  • Could use some work on better integrating with cloud providers and open source technologies. For AWS you will find an AMI in the marketplace and recently a connector for loading data from S3 directly was created. With last release, integration with Kafka was added that can help.
  • Managing large workloads (concurrent queries) is a bit challenging.
  • Having a way to provide an estimate on the duration for currently executing queries / etc. can be helpful. Vertica provides some counters for the query execution engine that are helpful but some may find confusing.
  • Unloading data over JDBC is very slow. We've had to come up with alternatives based on vsql, etc. Not a very clean, official on how to unload data.
Traian Antonescu | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

Vertica

No score
No answers yet
No answers on this topic

Support 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.
Anonymous | TrustRadius Reviewer

Vertica

Vertica 7.6
Based on 2 answers
I haven't had any recent opportunity to reach out to Vertica support. From what I remember, I believe whenever I reached out to them the experience was smooth.
Anonymous | TrustRadius Reviewer

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 | TrustRadius Reviewer

Vertica

SAP HANA, Oracle, MySQL, and PostgreSQL are too heavyweight for achieving real-time latency requirements. Google BigQuery is limited to Cloud that makes hard to integrate with a large ingestion pipeline that may have both Cloud-based and on-prem components. Hadoop is much more complex to setup. Snowflake is again Cloud-based and is a new player so its reputation is not well known.
Anonymous | TrustRadius Reviewer

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 | TrustRadius Reviewer

Vertica

  • The ROI on fast, interactive querying is very high.
  • Table size limitations force us to use other tools, slowing things down.
  • Relatively expensive pricing forces us to regularly upgrade our Vertica subscription and database. Each upgrade leads to a downtime of a few days.
Anonymous | TrustRadius Reviewer

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
  1. per TB
  2. per 100 slots
Additional Pricing Details

Vertica

General

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

Vertica Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Google BigQuery
8.7
Vertica
7.6

Usability

Google BigQuery
9.0
Vertica

Support Rating

Google BigQuery
8.4
Vertica
7.6

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