DigitalOcean Kubernetes vs. kdb+

DO Kubernetes is well-suited for: - deploying APIs - deploying workers - log collection and analysis (ie ELK stack) - deploying Helm charts and anything that can be mapped on to K8s concepts Less appropriate for anything requiring no public Internet access (ie VPC only). Less appropriate for anything requiring integration with the DO app platform via VPC, at the moment.

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kdb is well suited for real time tick data and time series analytics.

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• Hosted dashboard
• Hosted container registry
• Horizontal auto-scaling
• LetsEncrypt SSL termination

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• 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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• Option for internal VPC-only deployment
• Better integration with cloud firewall
• Better integration with DO App platform via VPC

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• Run time error message readability, particularly for new users.
• Backwards compatibility between versions.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

switching costs

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

its ok

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

We don't use it.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

DigitalOcean is the most affordable and straightforward of the hosted Kubernetes options we evaluated. All features that we require are supported without an excess of complication of extraneous features. Straightforward billing is also very important for us in comparison to the Big Three cloud hosts, which have very complicated billing practices. DigitalOcean also provides a platform with very little vendor lock-in.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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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• Excellent uptime
• Low cost for provided value
• Good integration with the rest of the DO platform to provide additional value

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• 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.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info