Google Cloud BigTable vs. kdb+

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
kdb+
Score 9.0 out of 10
N/A
kdb+ is a time series database from kx headquartered in Palo Alto, California, a division of First Derivatives.N/A
Pricing
Google Cloud BigTablekdb+
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 BigTablekdb+
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Google Cloud BigTablekdb+
Features
Google Cloud BigTablekdb+
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
kdb+
-
Ratings
Automatic software patching10.02 Ratings00 Ratings
Database scalability9.02 Ratings00 Ratings
Automated backups9.02 Ratings00 Ratings
Database security provisions9.02 Ratings00 Ratings
Monitoring and metrics8.02 Ratings00 Ratings
Automatic host deployment10.01 Ratings00 Ratings
Best Alternatives
Google Cloud BigTablekdb+
Small Businesses
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10
InfluxDB
InfluxDB
Score 8.8 out of 10
Medium-sized Companies
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10

No answers on this topic

Enterprises
IBM Cloudant
IBM Cloudant
Score 7.4 out of 10

No answers on this topic

All AlternativesView all alternativesView all alternatives
User Ratings
Google Cloud BigTablekdb+
Likelihood to Recommend
9.0
(1 ratings)
9.0
(5 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
9.0
(1 ratings)
7.0
(1 ratings)
Support Rating
9.0
(1 ratings)
3.0
(1 ratings)
Implementation Rating
-
(0 ratings)
1.0
(1 ratings)
User Testimonials
Google Cloud BigTablekdb+
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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Kx
kdb is well suited for real time tick data and time series analytics.
Read full review
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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Kx
  • Time series analysis. The built-in vector operations are extremely fast. Also with the q language you can code up any customized analytical ideas quickly.
  • The database are all file based, very easy to maintain.
  • Very solid and fast interface to websocket, so you can interface with javascript easily.
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Cons
Google
  • Global replication
  • Complete SQL support
  • Size limit of 1MB
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Kx
  • Run time error message readability, particularly for new users.
  • Backwards compatibility between versions.
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Likelihood to Renew
Google
No answers on this topic
Kx
switching costs
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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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Kx
its ok
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Support Rating
Google
Google provides premium support services for BigTable which is absolutely blazing fast similar to Bigtable's performance.
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Kx
We don't use it.
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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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Kx
Python is very commonly used for large data analysis and in general is much easier to pickup than kdb+. The biggest drawback of kdb+ is the learning curve.
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Return on Investment
Google
  • Building new features that can leverage storage on the edge
  • Realtime decision making
  • Data enrichment
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Kx
  • It perfectly solves most of our real time tick data needs.
  • Finding good kdb resources is slightly difficult. Also new people trying to learn kdb experience a relatively longer learning curve.
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ScreenShots