Google's Cloud Bigtable is a fully managed, scalable NoSQL database service for large analytical and operational workloads with up to 99.999% availability.
$0.03
per month
Oracle Database Cloud Service
Score 8.6 out of 10
N/A
Oracle offers their DBaaS, the Oracle Database Cloud Service, touting high availability, scalability, available managed or under enterprise control.
Google Bigtable is ONLY suited for massive data sets which scale PetaBytes and TerraBytes. Anything under this can easily be done via dedicated VMs and open source tools. Google Bigtable is expensive and shall be used wisely. It should be utilised only where it is well suited else you would simply be wasting dollars and not utilizing its full benefits.
Cost Effective & Flexible: Customers can start as low as a single OCPU VM up to 24 OCPUs. Customers pay only for OCPUs and Storage used.
Ease Of Getting Started: Customers can easily create Oracle Certified, full-featured, fully supported 11g, 12c (both 12.1 & 12.2) databases with choice of any database edition.
Built-in High Availability Constructs: Customers can easily deploy 2-node RAC configurations with all the VM shapes. For example: Easily deploy a 2-node RAC configuration with 2 core Virtual Machines and shared block storage of up to 40 TB.
Durable & Scalable Storage: Customers can use remote storage starting at 256GB up to 40 TB. Storage can be scale up with no downtime.
Secure: Customers still get all the advantages of our Oracle IAM for management control and VCN Security lists for securing their database environments.
Analytics: is at Google's heart. No on can beat Google in this space and BigTable is one of its implementation of this. The insights you gain from BigTable are simply usable in your day to day activities and can help you make real difference.
Speed: Processing TBs and PBs of data under minutes needs real efficient platform which is capable of doing much more than just processing data. All this data cannot be processed by a single machine, but rather huge pairs of machines working in conjuction with each other. BigTable's implementation is one of the finest and allows you achieve great speeds!
Interface: is great. Google has segregated required task under logically placed buttons which takes no time by users to understand and get habituated.
User interface's responsiveness: I understand so much is going on under the hood, but laggyness is acceptable if a workload is running or being processed. In case their is not workload being process, GUI should work blazing fast. I have faced this at times, and this becomes frustrating as well.
Nothing other than this - BigTable is quite efficient platform and does exactly what it is built for.
When we restart the DBaaS instance, it seems like we had to add the NIC network back again. I'm not sure if it's specific to our instance configuration!
For big IT firms like us, data is very important and it only holds its value if it can make sense to us. Therefore, Bigtable's usability is priceless when it comes to decision making based on data.
I would prefer the oracle database as service where my complete implementation is on Oracle Cloud Platform and as BI Implementation where datawarehouse is built on oracle database.
Billing on Hosted Environment per hour, OCPU per hour, block volumes, object storage, etc.
Costing & maintenance, patching.
Security & TDE cycles.
Backups & recovery.
The features are complemented by database lifecycle management features, like configuration management, performance management, patch automation, etc. which make the solution complete from a DBaaS administrator’s perspective as well.
Manager 12c covers all the major use cases for DBaaS, which yield significant business benefits and high ROI.
