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 per GB
Oracle Autonomous Database
Score 9.1 out of 10
N/A
Oracle Autonomous Database provides a self-driving, self-securing, self-repairing cloud service that eliminate the overhead and human errors associated with traditional database administration. Oracle Autonomous Database takes care of configuration, tuning, backup, patching, encryption, scaling, and more.
N/A
Pricing
Google Cloud BigTable
Oracle Autonomous Database
Editions & Modules
Backup Storage
$0.026
per month per GB
HDD storage
$0.026
per month per GB
SSD storage
$0.17
per month per GB
Nodes
$0.65/hour
per month per node (minimum 1 nodes)
No answers on this topic
Offerings
Pricing Offerings
Cloud BigTable
Oracle Autonomous Database
Free Trial
No
Yes
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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More Pricing Information
Community Pulse
Google Cloud BigTable
Oracle Autonomous Database
Features
Google Cloud BigTable
Oracle Autonomous Database
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud BigTable
8.8
Ratings
2% above category average
Oracle Autonomous Database
-
Ratings
Automatic software patching
8.00 Ratings
00 Ratings
Database scalability
10.00 Ratings
00 Ratings
Automated backups
9.00 Ratings
00 Ratings
Database security provisions
8.00 Ratings
00 Ratings
Monitoring and metrics
9.00 Ratings
00 Ratings
Database Development
Comparison of Database Development features of Product A and Product B
Google Cloud BigTable
-
Ratings
Oracle Autonomous Database
7.2
Ratings
17% below category average
Version control tools
00 Ratings
6.20 Ratings
Test data generation
00 Ratings
5.70 Ratings
Performance optimization tools
00 Ratings
8.20 Ratings
Schema maintenance
00 Ratings
9.00 Ratings
Database change management
00 Ratings
7.00 Ratings
Database Administration
Comparison of Database Administration features of Product A and Product B
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.
Scenarios where this is best suited are like where there are not large set of data which has to be analyzed and extracted.It helps in the efficiency of data .It is also well suited for medium size companies where you have to create a common data for everyone. As for large set of data, there can be network latency issues and thus there are some limitations of this software.
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.
There is no access to the physical host of the DB. This is expected from a managed DB. Everything must be done through the console or via API calls. This is a new learning curve for the DBAs.
Due to the lack of physical host access, certain features are not supported, such as Transportable tablespaces and Oracle LogMiner.
Certain special data types, (such as XMLType) are not allowed; be sure the app vendor certifies their product on this platform.
Autonomous is the way of the future and this is one system which is crucial to any system and is also autonomous. It is self-tuning and self-maintaining which are major advantages.
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.
The product is continuously evolving and new features are added frequently. Management options through the OCI (Oracle Cloud Infrastructure) console and through the command line and API are being enhanced frequently.
Hands down it's the best. It's secure and extremely fast. It also doesn't need a lot of babysitting. It's running itself. It does its job as advertised. This is why I feel everyone should if they haven't already taken a hard look OAD. I feel it's the future of technology at its best. Everyone should be taking notice of how far technology has come and where it's going.