Most Helpful Review
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it.
It allows you write complex queries and perform row by row processes.
It allows for the storage of huge amounts of data.
The ability to reload data multiple times at different times.
Eighty percent of the ETL operations have improved since implementing this solution.
Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data.
Allows us to take volumes and process them at a very high speed.
It maximize cloud economics for mission-critical big data analytical initiatives.
It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands.
Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics.
Any novice user can tune vertical queries with minimal training (or no training at all).
Vertica gives knowledgeable users and DBAs excellent tools for tuning.
Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions.
In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations.
Should be made available across zones, like other Multi-AZ solutions.
Fact-to-fact joins on multi-billion record tables perform poorly.
Support is an area where it could get better.
Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be.
It needs integration with multiple clouds.
It should provide a GUI interface for data management and tuning.
Monitoring tools need to be lightweight. They should not take up heavy resources of the main server.
If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer.
It would be great if this were a managed service in AWS.
Pricing and Cost Advice
It's around $200 US dollars. There are some data transfer costs but it's minimal, around $20.
Per hour pricing is helpful to keep the costs of a pilot down, but long-term retention is expensive.
It is fast to purchase through the AWS Marketplace.
The pricing and licensing depend on the size of your environment and the zone where you want to implement.
Read the fine print carefully.
I think it's starting to get a little expensive. Open source products are starting to get more robust, so I think that's something that they need to start looking at in terms of licensing.
The first TB is free and you can use all the Vertica features. After 1TB you have to pay for licensing. The product is worth it, but be aware of this condition, and plan. The compression ratio is explained in the documentation.
Start with license per 1TB. Starting from hundreds of TB there is unlimited licensing to be considered. Move historical data to HDFS/S3 which are significantly cheaper or even free.
Answers from the Community
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Also Known As
|Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand|
Amazon Redshift is a fast and powerful, fully managed, petabyte-scale data warehouse service in the cloud. Customers can start small for just $0.25 per hour with no commitments or upfront costs and scale to a petabyte or more for $1,000 per terabyte per year, less than a tenth of most other data warehousing solutions.
Traditional data warehouses require significant time and resource to administer, especially for large datasets. In addition, the financial cost associated with building, maintaining, and growing self-managed, on-premise data warehouses is very high. Amazon Redshift not only significantly lowers the cost of a data warehouse, but also makes it easy to analyze large amounts of data very quickly.
Amazon Redshift gives you fast querying capabilities over structured data using familiar SQL-based clients and business intelligence (BI) tools using standard ODBC and JDBC connections. Queries are distributed and parallelized across multiple physical resources. You can easily scale an Amazon Redshift data warehouse up or down with a few clicks in the AWS Management Console or with a single API call. Amazon Redshift automatically patches and backs up your data warehouse, storing the backups for a user-defined retention period. Amazon Redshift uses replication and continuous backups to enhance availability and improve data durability and can automatically recover from component and node failures. In addition, Amazon Redshift supports Amazon Virtual Private Cloud (Amazon VPC), SSL, AES-256 encryption and Hardware Security Modules (HSMs) to protect your data in transit and at rest.
As with all Amazon Web Services, there are no up-front investments required, and you pay only for the resources you use. Amazon Redshift lets you pay as you go. You can even try Amazon Redshift for free.
Micro Focus Vertica is the most advanced SQL database analytics portfolio built from the very first line of code to address the most demanding Big Data analytics initiatives. Micro Focus Vertica delivers speed without compromise, scale without limits, and the broadest range of consumption models. Choose Vertica on premise, on demand, in the cloud, or on Hadoop. With support for all leading BI and visualization tools, open source technologies like Hadoop and R, and built-in analytical functions, Vertica helps you derive more value from your Enterprise Data Warehouse and data lakes and get to market faster with your analytics initiatives.
To learn more about Micro Focus Vertica Advanced Analytics, visit our website.
Learn more about Amazon Redshift
Learn more about Vertica
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