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IBM Db2 Database vs OpenText Analytics Database (Vertica) comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
6.6
IBM Db2 Database offers high ROI with enhanced efficiency and performance, despite initial costs, supporting seamless business projects.
Sentiment score
6.2
Organizations achieved financial and operational gains with Vertica, reducing costs and processing time while enhancing analytics and performance.
I saved a lot of money because the storage was on a cheaper alternative and was not directly on OpenText Analytics Database (Vertica), but on S3.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
The time we used to take with our earlier databases has reduced to one-tenth of what was there earlier, which is a positive outcome that can be converted to financial metrics in terms of return on investment.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
 

Customer Service

Sentiment score
6.5
IBM Db2 support is generally reliable yet requires speed improvements; users find response times and expertise occasionally lacking.
Sentiment score
7.1
OpenText Analytics Database's customer service is generally valued for expertise but has occasional response time and escalation issues.
We normally receive substantial discounts on the price.
Associate Director, Data Architecture at a financial services firm with 10,001+ employees
Throughout this process, customer support was outstanding, and we had a person actively supporting us from the OpenText Analytics Database (Vertica) team for our use case.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
Overall, our experience with OpenText Analytics Database (Vertica) customer support has been good and reliable.
consultant at tcs
 

Scalability Issues

Sentiment score
7.1
IBM Db2 excels in scalability for large companies but faces challenges with horizontal scaling and increasing costs.
Sentiment score
7.2
OpenText Vertica offers scalable, efficient data handling with robust performance, though pricing and node addition may challenge some users.
We have experienced easy horizontal scaling, consistent query performance as data grew, and the ability to handle large analytic workloads.
consultant at tcs
OpenText Analytics Database (Vertica) has very good scalability.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
OpenText Analytics Database (Vertica) can scale to a great extent.
Analytics Manager at a wholesaler/distributor with 10,001+ employees
 

Stability Issues

Sentiment score
7.7
IBM Db2 Database is highly rated for stability and reliability, though performance can dip with significant data growth.
Sentiment score
7.2
OpenText Analytics Database offers high stability and performance, with successful migrations and minimal clustering issues ensuring user satisfaction.
OpenText Analytics Database (Vertica) is very stable.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
 

Room For Improvement

IBM Db2 Database needs usability, integration, and cloud improvements, plus better licensing, analytics, security, and standardization tools.
OpenText Analytics Database needs improvements in community, cloud features, SQL, integration, cost efficiency, machine learning, and developer tools.
It might be slightly slower than other database vendors, but it works well since banks typically do not move quickly with leading-edge technology.
Associate Director, Data Architecture at a financial services firm with 10,001+ employees
Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management.
consultant at tcs
Projections could be made more dynamic, and if they could find a faster way to update, insert, and delete data, that would also be helpful.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which features a very good comprehensive GUI for querying and analyzing data.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
 

Setup Cost

IBM Db2 pricing is complex and expensive, especially in Africa and the Middle East, but offers robust features.
OpenText Analytics Database offers flexible pricing, often cost-effective for its advanced features, despite being pricey vs. open-source solutions.
The pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
 

Valuable Features

IBM Db2 Database offers SQL, Java integration, scalability, security, and seamless IBM integration for flexible, reliable enterprise applications.
OpenText Analytics Database excels in fast query responses, scalability, and real-time insights, enhancing decision-making and operational efficiency.
IBM Db2 Database, because of enterprise performance and support, is why banks still maintain their relationship with it.
Associate Director, Data Architecture at a financial services firm with 10,001+ employees
The IBM Db2 Database is trusted, and IT effort is less than any other product.
Network Administrator at GAEB
I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes.
Senior Software Engineer at a tech vendor with 5,001-10,000 employees
Projection and columnar storage are the most valuable features because they dramatically improve query performance and reduce the need for index management.
consultant at tcs
The best features that OpenText Analytics Database (Vertica) offers are mainly the parallel processing, ETL capabilities, and the multi-cloud features which are very handy to use.
Data Engineering Associate Manager at a tech vendor with 10,001+ employees
 

Categories and Ranking

IBM Db2 Database
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
75
Ranking in other categories
Relational Databases Tools (6th)
OpenText Analytics Database...
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
90
Ranking in other categories
Data Warehouse (6th), Cloud Data Warehouse (10th)
 

Mindshare comparison

IBM Db2 Database and OpenText Analytics Database (Vertica) aren’t in the same category and serve different purposes. IBM Db2 Database is designed for Relational Databases Tools and holds a mindshare of 6.5%, down 6.8% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 5.1% mindshare, down 8.5% since last year.
Relational Databases Tools Mindshare Distribution
ProductMindshare (%)
IBM Db2 Database6.5%
SQL Server11.2%
Oracle Database11.2%
Other71.1%
Relational Databases Tools
Data Warehouse Mindshare Distribution
ProductMindshare (%)
OpenText Analytics Database (Vertica)5.1%
Snowflake9.5%
Teradata8.8%
Other76.6%
Data Warehouse
 

Featured Reviews

reviewer2708292 - PeerSpot reviewer
Associate Director, Data Architecture at a financial services firm with 10,001+ employees
Support improves setup and maintenance while pricing influences decision
If you have a similar use case and the same deal with IBM as our company, it is definitely a good option and choice. The company I work with has more than 50,000 people and more than 500 support staff. We are not locked into one database vendor. We typically work with multiple database vendors simultaneously, selecting the top choice based on the deals we make and other considerations. We do not use IBM Db2 Database related to AI at this moment because our AI project PLC is still very small scale. We may consider it in the future if we have enough scale. Overall rating for IBM Db2 Database is 8.5 out of 10.
JN
consultant at tcs
Data warehousing has transformed reporting performance and now delivers near real-time insights
OpenText Analytics Database (Vertica) is a very powerful analytic database, but like any platform, there are areas where it can improve to make daily work even smoother. Better cloud-native experience is one area for improvement. OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud. Improvement opportunities include more seamless cloud-native features such as auto-scaling, serverless options, and easier cluster management. Competitors such as Snowflake and BigQuery provide more fully managed experiences. Easier UI is another area for improvement. Most administration is currently done by SQL and command line tools. An improvement opportunity would be a more modern web UI for monitoring, workload management, and troubleshooting. Faster ecosystem and community growth is needed. In short, OpenText Analytics Database (Vertica) could improve in areas such as cloud-native capability, modern UI for administration, stronger real-time streaming integration, and growing its ecosystem and community. These enhancements would make it easier to manage and adopt compared to newer cloud-first analytic platforms. From a day-to-day operational perspective, there are a few areas where OpenText Analytics Database (Vertica) could improve to make our work smoother. Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management. Right now, monitoring queries often requires system tables and manual analysis. Troubleshooting slow queries takes time. A modern real-time dashboard showing query bottlenecks and resource users would enable quick detection. The impact could be faster issue resolution and less time spent debugging performance. Storage native interaction with modern data tools is also important. In short, from a day-to-day perspective, improvements in automatic projection optimization, better workload monitoring dashboard, easier schema evolution, and stronger modern tool integration would significantly reduce manual tuning effort and improve developer productivity. While OpenText Analytics Database (Vertica) is very powerful, these enhancements would make it more efficient for the analytics team.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Government
8%
Computer Software Company
6%
Financial Services Firm
19%
Computer Software Company
13%
Manufacturing Company
7%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise13
Large Enterprise48
By reviewers
Company SizeCount
Small Business29
Midsize Enterprise23
Large Enterprise43
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Db2 Database?
IBM Db2 is an expensive solution. While I am not heavily involved with pricing, additional companies provide capabilities or products like those from BMC, which many installations might also purchase.
What needs improvement with IBM Db2 Database?
The IBM Db2 Database is a good solution, but now there is a high maintenance charge. The IBM Db2 Database needs improved support, and there are many difficulties in using it. We tend to use the clo...
What is your primary use case for IBM Db2 Database?
I use the IBM Db2 Database for development applications. Many clients in our company have business applications currently working on it.
What do you like most about Vertica?
Vertica is easy to use and provides really high performance, stability, and scalability.
What is your experience regarding pricing and costs for Vertica?
My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.
What needs improvement with Vertica?
OpenText Analytics Database (Vertica) is already doing great. There could be a community which could have been much more advanced and more people can be engaged so that any kind of questions, queri...
 

Also Known As

DB2
Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand
 

Overview

 

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 Toronto
Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.
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