What users are saying about
Top Rated
111 Ratings
Top Rated
111 Ratings
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Score 8.8 out of 100
210 Ratings
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Score 7.7 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

Oracle Data Warehouse

Including other products, Oracle is very specialized in business support. Choosing Oracle Data Warehouse would be a safe choice for an enterprise-level company (more than a thousand employees). Healthcare organizations may want to consider Oracle, as they are typically conservative with privacy and security issues with patient data. Although cloud-based systems are widely being adopted in the healthcare industry (such as population research or genomics), core data sets (such as patients' sensitive medical records) may be better stored with a home-grown data center and warehouse solution.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Database-as-a-Service

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

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

Oracle Data Warehouse

  • Able to handle very large data sizes efficiently from a performance, high availability and manageability perspective. This is accomplished through the Oracle Partitioning functionality. Partitioning allows large segments (tables, IOT index-organized tables, indexes) to be broken into smaller segments at the physical layer but treated as a whole at the logical layer.
  • Provides support for dual-format architecture through Oracle In-Memory functionality. Without any change to application code one can obtain in-memory performance. This functionality enables us to have the tables represented in both the row format and the column format using in-memory format. This is a huge boost for BI/analytic queries since the Oracle optimizer is able to intelligently choose the appropriate format.
  • Provision to materialize a subset of table data or table joins. This is through materialized views and the optimizer will rewrite the query against the base tables to make use of this materialized view. This provides a huge performance boost and is critical in VLDBs as in a data warehouse. The query rewrite is fully transparent to users.
  • Provides multiple compression capabilities. This is very useful not only for deducing the storage foot print but as well as increase performance at different layers of the infrastructure including query performance. The compression functionality can be applied against both structured and unstructured data.
  • With the advent of Engineered Systems (Exadata, Database Machine, SuperCluster) there are specific features and functionalities that can further boost the Oracle data warehouse. These are related to consolidation, Smart Scan, Storage Indexes, EHCC (Exadata hybrid columnar compression) and much more.
  • RAC - Real Application Clusters (with 2 or more nodes) provides functionality for high availability, performance and scaling as the work load increases. The parallelism is provided both within a node and as well as across nodes. If for any reason a node goes down the data warehouse is still available through other nodes and the running queries are transparently failed over to the surviving nodes.
Suresh Muddaveerappa | 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

Oracle Data Warehouse

  • Customer support isn't the best out there. We usually have to wait about an hour to get some form of assistance.
  • Pricing is a bit higher than many of its competitors such as AWS Redshift.
  • Tweaking features requires dedicated staff. Software is fairly advanced. Would be difficult to use for newcomers.
Anonymous | 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

Oracle Data Warehouse

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

Oracle Data Warehouse

No score
No answers yet
No answers on this topic

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

Oracle Data Warehouse

Oracle is, in my opinion, the top dog in this space. I feel like the other vendors are playing catch-up to where Oracle is right now. It is also likely the most expensive option out there.
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

Oracle Data Warehouse

  • Very cost effective for large databases.
  • Very fast results on simple queries.
  • Analytical functionalities are of wide range, which makes it very cost effective.
  • For smaller businesses, it might be a great asset.
  • Some features are supposed to be bought separately, so one needs to consider this before licensing with Oracle DW.
Kartik Chavan | 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

Oracle Data Warehouse

General

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

Oracle Data Warehouse Editions & Modules

Additional Pricing Details

Rating Summary

Likelihood to Recommend

Google BigQuery
8.7
Oracle Data Warehouse
6.2

Usability

Google BigQuery
9.0
Oracle Data Warehouse

Support Rating

Google BigQuery
8.4
Oracle Data Warehouse

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