Compare IBM Db2 vs. Vertica

IBM Db2 is ranked 6th in Relational Databases with 7 reviews while Vertica is ranked 3rd in Data Warehouse with 10 reviews. IBM Db2 is rated 8.0, while Vertica is rated 8.6. The top reviewer of IBM Db2 writes "Very stable and scalable but the pricing is not transparent". On the other hand, the top reviewer of Vertica writes "Its speed differentiates it from other columnars, and works on commodity hardware". IBM Db2 is most compared with Oracle Database, SQL Server and MySQL, whereas Vertica is most compared with Snowflake, Apache Hadoop and Amazon Redshift.
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IBM Db2 Logo
12,829 views|10,553 comparisons
Vertica Logo
15,711 views|8,869 comparisons
Most Helpful Review
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: November 2019.
382,547 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
The self-management and optimization features are probably the best on the marketThe solution is very stable, in both hardware and database.The most valuable features of this solution are security and stability.The scalability and availability of this solution are the most valuable features.The most valuable feature of this solution is the integration with other IBM products.Some of the most valuable features are the scaling from a small very cheap installation to a very large enterprise installation. In addition, the backups and assistance are good.It has a good, stable performance.​Scales well enough for a relational database.

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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.Eighty percent of the ETL operations have improved since implementing this solution.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.

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Cons
The ease of use, or ease of management, could be improved.End-to-end encryption specifically is something the solution needs to have in the next release.It would be helpful to have more querying tools and more development tools for us to work easily with Microsoft.I would like to see better support for advanced analytics.The initial set up was complex.Do not use support. Freely available documentation is a bit weak.​​Not very solid compared to its competitors' products.​Some of the internal rearrangement in the administration is not as straightforward as it is in competing products.

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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.Fact-to-fact joins on multi-billion record tables perform poorly.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.

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Pricing and Cost Advice
Licensing fees are on a yearly basis.They are competitive and honest (compared to how peer firms approach licensing conversations). ​Compared to Oracle, it is so much cheaper.

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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.

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Ranking
6th
Views
12,829
Comparisons
10,553
Reviews
7
Average Words per Review
326
Avg. Rating
8.0
3rd
out of 30 in Data Warehouse
Views
15,711
Comparisons
8,869
Reviews
10
Average Words per Review
285
Avg. Rating
8.5
Top Comparisons
Compared 41% of the time.
Compared 23% of the time.
Compared 13% of the time.
Compared 14% of the time.
Compared 13% of the time.
Compared 13% of the time.
Also Known As
DB2Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
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IBM
Micro Focus
Overview
DB2 Enterprise for Linux, UNIX, and Windows is the ideal data server for the most demanding workloads. New XML support is designed to help firms minimize the time and effort it takes to persist and use their XML data reducing development costs and improving business agility.

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.

Offer
Learn more about IBM Db2
Learn more about Vertica
Sample Customers
Knorr-Bremse, Mizuho Bank Ltd., Australian Government Department of Defence, SCHWENK Zement, Friedhelm Loh Group, YAZAKI Europe Limited, Ekornes ASA, Baldor Electric, VSN Systemen BV, Lion Brewery (Ceylon) PLC, PLANSEE Group, TE Connectivity, Hansgrohe SE, Openmatics, University of TorontoCerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
Top Industries
REVIEWERS
Financial Services Firm45%
University18%
Insurance Company18%
Transportation Company9%
VISITORS READING REVIEWS
Software R&D Company33%
Insurance Company13%
Financial Services Firm12%
Comms Service Provider9%
REVIEWERS
Media Company21%
Software R&D Company21%
Marketing Services Firm17%
Comms Service Provider14%
VISITORS READING REVIEWS
Software R&D Company29%
Comms Service Provider21%
Financial Services Firm8%
Retailer5%
Find out what your peers are saying about Microsoft, Oracle, Teradata and others in Relational Databases. Updated: November 2019.
382,547 professionals have used our research since 2012.
We monitor all Relational Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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