Citus Data vs OpenText Analytics Database (Vertica) comparison

The compared Citus Data and OpenText solutions aren't in the same category. Citus Data is ranked #27 in SQL , and holds a 2.4% mindshare in the category. OpenText is ranked #6 in Data Warehouse , with an average rating of 8.0, and holds a 5.0% mindshare. Additionally, 100% of Citus Data users are willing to recommend the solution, compared to 91% of OpenText users who would recommend it.

Citus Data

Read 3 Citus Data reviews

1,428 Views
1,328 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

4,478 Views
2,105 Comparison Views

91% willing to recommend

Citus Data

OpenText Analytics Database...

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Executive Summary

We performed a comparison between Citus Data and OpenText Analytics Database (Vertica) based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Oracle, SAP and others in Relational Databases Tools.

To learn more, read our detailed Relational Databases Tools Report (Updated: March 2026).

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Relational Databases Tools

March 2026

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Review summaries and opinions

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

Categories and Ranking

Citus Data

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

Relational Databases Tools (27th)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (6th), Cloud Data Warehouse (11th)

Mindshare comparison

Citus Data and OpenText Analytics Database (Vertica) aren’t in the same category and serve different purposes. Citus Data is designed for Relational Databases Tools and holds a mindshare of 2.4%, up 2.2% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 5.0% mindshare, down 8.3% since last year.

Relational Databases Tools Mindshare Distribution
Product	Mindshare (%)
Citus Data	2.4%
SQL Server	11.9%
Oracle Database	11.5%
Other	74.2%

Relational Databases Tools

Data Warehouse Mindshare Distribution
Product	Mindshare (%)
OpenText Analytics Database (Vertica)	5.0%
Snowflake	10.2%
Teradata	9.0%
Other	75.8%

Data Warehouse

Featured Reviews

Arucy Lionel

Co-Founder at Afriziki

Efficiently handles high-traffic scenarios and compatible with PostgreSQL extensions, offering flexibility in database management

There are many areas of improvement , especially in terms of DDL query routing. Even though it's masterless, DDL queries need to be sent to the coordinator node. Also, setting up a multi-node environment could be more straightforward. Currently, setting up a multi-node environment is challenging. It's a bit tricky. Installation on each PostgreSQL node can lead to communication issues between nodes. An automatic rebalancing feature would be a significant improvement. Currently, I have to manually command the rebalance. It would be more convenient if it was rebalanced automatically. The dashboard and monitoring capabilities are good, but it would be helpful to have an integrated availability dashboard.

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Jitendrak Naik

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.

Read full review

Quotes from Members

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

Pros

"You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well."

"It's very straightforward to implement the solution. It took us two days to set up everything."

"Its distributed processing capabilities are a standout feature. It requires minimal changes to get up and running if you already have a system on PostgreSQL. Citus can run in its natural state."

"I have found the solution to be scalable."

"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."

"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."

"Vertica uses advanced Azure technologies to compress raw data using indexing, allowing a large amount of data to be stored with minimal physical space. Advanced algorithms are employed in data compression."

"Partition and join back to node are easy and simple for DBAs."

"This product has enabled us to keep very large amounts of data at hand for fast querying."

"Speed and resiliency are probably the best parts of this product."

"Do you want to stand up a data warehouse in a reasonable amount of time using the in-house skills accustomed to dealing with an RDBMS? If that is the case, nothing beats Vertica, hands down."

More OpenText Analytics Database (Vertica) pros

Cons

"Citus Data needs to improve its stability. Do not consider this product if you have the budget. It is still developing and has a lot of issues."

"More features in monitoring and the reporting could make it better."

"There are many areas of improvement , especially in terms of DDL query routing. Even though it's masterless, DDL queries need to be sent to the coordinator node. Also, setting up a multi-node environment could be more straightforward."

"The geospatial functionality could be designed better."

"Stability is good, however the database crashed once because a query ran against a large XML data element."

"Vertica can improve automation and documentation. Additionally, the solution can be simplified."

"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."

"We have found multiple issues with deployment. Deployment was by far the hardest step in the process."

"We faced some challenges when trying to use the temporary tables feature."

"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."

"It would be great if this were a managed service in AWS."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

"Citus Data is an open-source product."

"The price could be cheaper and it is best to negotiate the price."

"It's difficult today to compete with open-source solutions. In these areas, there is a lot of competition and the price of this solution is a bit pricy."

"The solution is relatively cost-effective."

"The pricing could improve, it is a little expensive."

"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."

"The pricing for this solution is very reasonable compared to other vendors."

"From a cost perspective, the software is less than most of its competitors."

"It's an expensive product"

More OpenText Analytics Database (Vertica) pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

14%

Financial Services Firm

10%

Comms Service Provider

Consumer Goods Company

Financial Services Firm

16%

Computer Software Company

15%

Manufacturing Company

Marketing Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	42

Questions from the Community

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What do you like most about Vertica?

Vertica is easy to use and provides really high performance, stability, and scalability.

See all answers

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.

See all answers

What needs improvement with Vertica?

OpenText Analytics Database (Vertica) can be improved by adding some more features in analytics. OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which featu...

See all answers

Comparisons

CockroachDB vs Citus Data

Compared 20% of the time

SQL Server vs Citus Data

Compared 13% of the time

YugabyteDB vs Citus Data

Compared 13% of the time

Neon vs Citus Data

Compared 12% of the time

SingleStore vs Citus Data

Compared 4% of the time

More Citus Data Competitors

Snowflake vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Databricks vs OpenText Analytics Database (Vertica)

Compared 6% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 6% of the time

Amazon Redshift vs OpenText Analytics Database (Vertica)

Compared 5% of the time

More OpenText Analytics Database (Vertica) Competitors

Product Reports

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Relational Databases Tools

March 2026

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Buyer's Guide

OpenText Analytics Database (Vertica)

March 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Also Known As

No data available

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Overview

Citus is a distributed database that extends PostgreSQL, allowing you to continue using all the powerful Postgres features while still scaling.

Whether you're running into a ceiling on a single node, or need more performance for real-time analytical queries Citus can help.

Citus Data

OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.

OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.

What features define OpenText Analytics Database Vertica?

Fast Data Loading: Quickly ingests large data volumes.
Columnar Storage: Optimizes storage efficiency and speed.
OLAP Support: Provides robust analytics capabilities.
Advanced Compression: Enhances storage efficiency and performance.
Parallel Data Ingestion: Enables faster data processing.
Fault Tolerance: Ensures high availability and reliability.

What benefits should users expect?

Cost Efficiency: Low cost per TB is advantageous.
Scalability: Accommodates growing data needs seamlessly.
Integration Flexibility: Works well with BI tools like Tableau.
Real-Time Reporting: Delivers immediate insights for decision-making.

OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.

OpenText

Sample Customers

Cloud Flare, Agari, Mix Rank, Heap

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

Buyer's Guide

Relational Databases Tools

March 2026

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