Superhuman Mail vs. Vertica Analytics Database

1. Inbox management 2. Saving time 3. For CXOs, it can save a lot of time. 4. Superhuman AI is very good, optimized for the use case. 5. UI/UX is to notch, the team has really put in some effort here. 6. Although there's a learning curve but the onboarding makes it very simple.

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Vertica as a data warehouse to deliver analytics in-house and even to your client base on scale is not rivaled anywhere in the market. Frankly, in my experience it is not even close to equaled. Because it is such a powerful data warehouse, some people attempt to use it as a transactional database. It certainly is not one of those. Individual row inserts are slow and do not perform well. Deletes are a whole other story. RDBMS it is definitely not. OLAP it rocks.

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• Faster than Gmail - if speed is a priority Superhuman loads and processes very quickly
• Clean interface - Superhuman is well designed, making it easy to focus on only what you're writing
• Snippets save time - by prewriting snippets and adding them via shortcuts, writing emails is quick

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• Extremely fast query performance - Vertica is one of the fastest query engines out there.
• Scales to TBs - Scales reasonably well up to 10-20 nodes and 10 - 100s of TB of data.
• Easy to Use - Fairly easy to user, we made quite some headway with just 1 person running it for a while.

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• When I started adopting it, it was VERY Apple-focused. I could not get access to Android and Windows. They are not releasing an Android version, and there is web access for Windows, which I use with an iPhone.
• Built-in calendar, while nice, could be a little more functional.

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• Could use some work on better integrating with cloud providers and open source technologies. For AWS you will find an AMI in the marketplace and recently a connector for loading data from S3 directly was created. With last release, integration with Kafka was added that can help.
• Managing large workloads (concurrent queries) is a bit challenging.
• Having a way to provide an estimate on the duration for currently executing queries / etc. can be helpful. Vertica provides some counters for the query execution engine that are helpful but some may find confusing.
• Unloading data over JDBC is very slow. We've had to come up with alternatives based on vsql, etc. Not a very clean, official on how to unload data.

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It's amazing, it solves the inbox management problem. Makes emails keyboard friendly and AI is self-sufficient.

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I haven't had any recent opportunity to reach out to Vertica support. From what I remember, I believe whenever I reached out to them the experience was smooth.

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You could have information from your contacts right on your inbox.

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Vertica performs well when the query has good stats and is tuned well. Options for GUI clients are ugly and outdated. IO optimized: it's a columnar store with no indexing structures to maintain like traditional databases. The indexing is achieved by storing the data sorted on disk, which itself is run transparently as a background process.

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• Sales call intensity improving
• Focused workflows which help avoid the scattered "ADD" style in which emails arrive
• Efficiency

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• Positive impact on ROI by being able to get customer insights in real-time.
• Positive ROI through reduced time to set-up and maintain Vertica instances.

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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