DBArtisan vs. Vertica Analytics Database

DBArtisan is functional and suitable for any sized organization that needs to monitor its database resources and running queries.

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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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• User interface is easy to use, and in some ways better than Toad. The left hand side shows all databases, and you can drill down to instance, storage, schemas, tablespaces, and performance views. The right hand side displays the details of the selected object.
• This is the best tool if you want to manage multiple RDBMS platforms in a single tool using the same familiar interface. Other third party tools can do it also, but it's not nearly as integrated as this, and may require additional plug-ins installed. DBArtisan excels at this, and can perform cross-platform data migrations easily.
• It has different DB analysts, which can help diagnose issues with performance, optimize storage, detect fragmentation, and plan for capacity growth. For almost any action you want to take, you can generate the DDL for preview, and/or schedule it to run at a specific time.

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Independently Invited by TrustRadius

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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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• Locks up far too often
• Licensing structure is expensive

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Independently Invited by TrustRadius

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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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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

I have never tried their support so the number above is meaningless

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

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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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

DBArtisan does not have an in-depth performance analyzer for databases.

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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

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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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 has a positive ROI on our organization. It's better than OEM and SQL Developer. Although the license could be expensive, it is perfect for large organizations, especially with multiple RDBMS platforms.
• Most features are redundant between DBArtisan and Toad. I would not recommend using both if you already own one of them. Just download the trial for the one you're not using, and see what works best for your organization.
• DBArtisan is great for DBAs and would be my personal preference. Toad is good for developers and DBAs alike but I feel like sometimes the interface is too busy and too clumsy to use.

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

• 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.

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