We performed a comparison between BigQuery and Oracle Exadata based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It has a proprietary way of storing and accessing data in its own data store and is 100% managed without you needing to install anything. There is no need to arrange for any infrastructure to be able to use this solution."
"It's pretty stable. It's fast, and it is able to go through large quantities of data pretty quickly."
"The feature called calibrating the capacity is valuable."
"I like that we can synch and run a large query. I also like that we can work with a large amount of data. You don't need to work separately, as it's a ready-made solution. It also comes with a built-in machine-learning feature. Once we start inputting the data, it will suggest some things related to the data, and we can come up with nice dashboards and statistics from a vast amount of data."
"The most valuable features of this solution, in my opinion, are speed and performance, as well as cost-effectiveness."
"When integrating their system into the cloud-based solutions, we were able to increase their efficiency and overall productivity twice compared with their on-premises option."
"BigQuery can be used for any type of company. It has the capability of building applications and storing data. It can be used for OLTP or OLAP. It has many other products within the Google space."
"It stands out in efficiently handling internal actions without the need for manual intervention in tasks like building cubes and defining final dimensions."
"The most valuable feature is the time to solution."
"Oracle is easy to use for peripheral things, such as the data vault and the data firewall, data sync, and partitions. These are the features that give an edge to other databases."
"The ease of setup is an eight out of ten."
"What I found most valuable in Oracle Exadata is its newer technology that gives better performance. It has more recent hardware and significant changes in the architecture, so it's better than older solutions."
"The storage capacity and the performance of Oracle Exadata are good. When comparing the performance to other technologies it is very good. I am satisfied with the management of the solution."
"Complete management occurs from one single address instead of different servers."
"We like the tool’s features like Smart Scan, Hybrid Columnar Compression, and the TFA."
"The offloading of data to the SIM is a valuable feature."
"The process of migrating from Datastore to BigQuery should be improved."
"So our challenge in Yemen is convincing many people to go to cloud services."
"They could enhance the platform's user accessibility."
"There are many tools that you have to use with BigQuery that are different services also provided for by Google. They need to all be integrated into BigQuery to make the solution easier to use."
"The main challenges are in the areas of performance and cost optimizations."
"An area for improvement in BigQuery is its UI because it's not working very well. Pricing for the solution is also very high."
"There is a good amount of documentation out there, but they're consistently making changes to the platform, and, like, their literature hasn't been updated on some plans."
"The processing capability can be an area of improvement."
"One small area for improvement in Oracle Exadata is integration, particularly at the consolidated application level."
"The setup is a little bit complex. We would like to see the installation part get easier."
"The handling of temp space has room for improvement."
"We have a little trepidation with the system as it does have a learning curve. Also changing to a binary logging format for us feels like retrograde motion, but sadly almost all Linux variants have moved in this direction."
"It would be good if Exadata made some new features available regarding data retrieval and speed capacity functions."
"Since the product is an appliance, it is very costly."
"Patching must be simplified."
"The initial setup process is very difficult and extremely complex."
BigQuery is ranked 5th in Cloud Data Warehouse with 31 reviews while Oracle Exadata is ranked 2nd in Data Warehouse with 124 reviews. BigQuery is rated 8.2, while Oracle Exadata is rated 8.4. The top reviewer of BigQuery writes "Expandable and easy to set up but needs more local data residency". On the other hand, the top reviewer of Oracle Exadata writes "Offers a variety of valuable features". BigQuery is most compared with Snowflake, Teradata, Oracle Autonomous Data Warehouse, Vertica and Dremio, whereas Oracle Exadata is most compared with Oracle Database Appliance, Teradata, Oracle Autonomous Data Warehouse, Snowflake and FlexPod XCS. See our BigQuery vs. Oracle Exadata report.
See our list of best Cloud Data Warehouse vendors.
We monitor all Cloud Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.