Google Cloud BigTable vs. Oracle Autonomous Data Warehouse vs. Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Cloud BigTable
Score 9.5 out of 10
N/A
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 Autonomous Data Warehouse
Score 8.3 out of 10
N/A
Oracle Autonomous Data Warehouse is optimized for analytic workloads, including data marts, data warehouses, data lakes, and data lakehouses. With Autonomous Data Warehouse, data scientists, business analysts, and nonexperts can discover business insights using data of any size and type. The solution is built for the cloud and optimized using Oracle Exadata.N/A
VMware Tanzu Data Services
Score 6.0 out of 10
N/A
Tanzu Data Services is a family of data-driven solutions built to store, process, and query critical data resources in real-time and at massive scale, both on-premises and in the multi-cloud world.N/A
Pricing
Google Cloud BigTableOracle Autonomous Data WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
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
No answers on this topic
Offerings
Pricing Offerings
Cloud BigTableOracle Autonomous Data WarehouseVMware Tanzu Data Services
Free Trial
NoNoNo
Free/Freemium Version
NoNoNo
Premium Consulting/Integration Services
NoNoNo
Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google Cloud BigTableOracle Autonomous Data WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Features
Google Cloud BigTableOracle Autonomous Data WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Google Cloud BigTable
9.2
2 Ratings
8% above category average
Oracle Autonomous Data Warehouse
-
Ratings
Tanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
-
Ratings
Automatic software patching10.02 Ratings00 Ratings00 Ratings
Database scalability9.02 Ratings00 Ratings00 Ratings
Automated backups9.02 Ratings00 Ratings00 Ratings
Database security provisions9.02 Ratings00 Ratings00 Ratings
Monitoring and metrics8.02 Ratings00 Ratings00 Ratings
Automatic host deployment10.01 Ratings00 Ratings00 Ratings
Best Alternatives
Google Cloud BigTableOracle Autonomous Data WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Google BigQuery
Google BigQuery
Score 8.8 out of 10
Google BigQuery
Google BigQuery
Score 8.8 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Cloudera Enterprise Data Hub
Cloudera Enterprise Data Hub
Score 9.0 out of 10
Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
Oracle Exadata
Oracle Exadata
Score 9.8 out of 10
Oracle Exadata
Oracle Exadata
Score 9.8 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
Google Cloud BigTableOracle Autonomous Data WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Likelihood to Recommend
9.0
(1 ratings)
8.9
(32 ratings)
8.0
(1 ratings)
Likelihood to Renew
-
(0 ratings)
8.0
(1 ratings)
-
(0 ratings)
Usability
9.0
(1 ratings)
-
(0 ratings)
-
(0 ratings)
Support Rating
9.0
(1 ratings)
-
(0 ratings)
8.0
(1 ratings)
Implementation Rating
-
(0 ratings)
9.0
(1 ratings)
-
(0 ratings)
User Testimonials
Google Cloud BigTableOracle Autonomous Data WarehouseTanzu Data Services (Greenplum, GemFire, RabbitMQ, Tanzu SQL)
Likelihood to Recommend
Google
It works great for any use case that requires high throughput for reads and writes, for key-value kinda data. This enables you to use it for usecases where you need to retain data for a long term or even short term but then use it in pipelines to enrich data, sync states between backend and frontend or to quickly lookup say a user.
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Oracle
II would recommend Oracle Autonomous Data Warehouse to someone looking to fully automate the transferring of data especially in a warehouse scenario though I can see the elasticity of the suite that is offered and can see it is applicable in other scenarios not just warehouses.
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Broadcom
If you need to execute ml algorithms, learning techniques, or mathematical calculations on large amounts of heterogeneous data, VMware Tanzu Data Services will be ideal. It will be really simple to set up, particularly if you choose AWS as your integrated cloud provider. However, if you're working with lower data amounts, such as gigabytes, it can be superfluous.
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Pros
Google
  • 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.
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Oracle
  • Very easy and fast to load data into the Oracle Autonomous Data Warehouse
  • Exceptionally fast retrieval of data joining 100 million row table with a billion row table plus the size of the database was reduced by a factor of 10 due to how Oracle store[s] and organise[s] data and indexes.
  • Flexibility with scaling up and down CPU on the fly when needed, and just stop it when not needed so you don't get charged when it is not running.
  • It is always patched and always available and you can add storage dynamically as you need it.
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Broadcom
  • Apache MADlib provides popular machine learning functionality.
  • Allows you to query terabytes of data databases.
  • Interoperability for AWS S3 is effortless.
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Cons
Google
  • Global replication
  • Complete SQL support
  • Size limit of 1MB
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Oracle
  • It is very expensive product. But not to mention, there's good reasons why it is expensive.
  • The product should support more cloud based services. When we made the decision to buy the product (which was 20 years ago,) there was no such thing to consider, but moving to a cloud based data warehouse may promise more scalability, agility, and cost reduction. The new version of Data Warehouse came out on the way, but it looks a bit behind compared to other competitors.
  • Our healthcare data consists of 30% coded data (such as ICD 10 / SNOMED C,T) but the rests is narrative (such as clinical notes.). Oracle is the best for warehousing standardized data, but not a good choice when considering unstructured data, or a mix of the two.
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Broadcom
  • Running on Azure is a little more difficult.
  • Synchronization with Kafka may be a little easier.
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Likelihood to Renew
Google
No answers on this topic
Oracle
Because
  • It is really simple to provision and configure.
  • Does not require continous attention from the DBA, autonomous features allows the database to perform most of the regular admin tasks without need for human intervention.
  • Allows to integrate multiple data sources on a central data warehouse, and explode the information stored with different analytic and reporting tools.
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Broadcom
No answers on this topic
Usability
Google
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.
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Oracle
No answers on this topic
Broadcom
No answers on this topic
Support Rating
Google
Google provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.
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Oracle
No answers on this topic
Broadcom
They were very helpful. We needed support for initial implementation.
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Implementation Rating
Google
No answers on this topic
Oracle
Understanding Oracle Cloud Infrastructure is really simple, and Autonomous databases are even more. Using shared or dedicated infrastructure is one of the few things you need to consider at the moment of starting provisioning your Oracle Autonomous Data Warehouse.
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Broadcom
No answers on this topic
Alternatives Considered
Google
As a hosted solution, that can be managed easily from the Google cloud platform, it enables the teams to think about business use cases vs thinking about the management of the database itself. It is easily to scale it up when you need more throughput or storage. This keeps the developers and the product folks happy.
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Oracle
As I mentioned, I have also worked with Amazon Redshift, but it is not as versatile as Oracle Autonomous Data Warehouse and does not provide a large variety of products. Oracle Autonomous Data Warehouse is also more reliable than Amazon Redshift, hence why I have chosen it
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Broadcom
No answers on this topic
Return on Investment
Google
  • Building new features that can leverage storage on the edge
  • Realtime decision making
  • Data enrichment
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Oracle
  • Overall the business objective of all of our clients have been met positively with Oracle Data Warehouse. All of the required analysis the users were able to successfully carry out using the warehouse data.
  • Using a 3-tier architecture with the Oracle Data Warehouse at the back end the mid-tier has been integrated well. This is big plus in providing the necessary tools for end users of the data warehouse to carry out their analysis.
  • All of the various BI products (OBIEE, Cognos, etc.) are able to use and exploit the various analytic built-in functionalities of the Oracle Data Warehouse.
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Broadcom
  • There was a noticeable reduction in system reliability.
  • Saw a reduction in unsuccessful analytics operations.
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ScreenShots