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 #26 in SQL , and holds a 2.5% mindshare in the category. OpenText is ranked #10 in Data Warehouse , with an average rating of 7.8, and holds a 5.3% 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

1,399 Views
1,301 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 86 OpenText Analytics Database (Vertica) reviews

4,097 Views
1,926 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: February 2026).

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Relational Databases Tools

February 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 (26th)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Warehouse (10th), Cloud Data Warehouse (12th)

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 2.5%, up 2.0% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 5.3% mindshare, down 8.6% since last year.

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
Citus Data	2.5%
SQL Server	11.8%
Oracle Database	11.7%
Other	74.0%

Relational Databases Tools

Data Warehouse Market Share Distribution
Product	Market Share (%)
OpenText Analytics Database (Vertica)	5.3%
Snowflake	10.1%
Teradata	9.4%
Other	75.2%

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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T Venkatesh

Deputy Manager at ICICIBANK Ltd

Processes query faster through multiple systems simultaneously, but it could support different data types

We use the solution for various tasks, including preparing data marts and generating offers. It helps extract data based on rules from the policy team and provides insights to enhance business operations. We also analyze transactions to target customers and improve business performance The…

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

"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."

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

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

"The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."

"The solution is quick, has good compression data, and is not expensive."

"The product's initial setup phase is extremely simple."

"Allows us to take volumes and process them at a very high speed."

"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."

"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."

"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."

More OpenText Analytics Database (Vertica) pros

Cons

"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."

"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."

"The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases."

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

"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."

"The integration of this solution with ODI could be improved."

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

"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."

"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."

"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

"Citus Data is an open-source product."

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

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

"Read the fine print carefully."

"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."

"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."

"The solution is free and we pay for the storage."

"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."

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

17%

Computer Software Company

14%

Manufacturing Company

Comms Service Provider

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	38

Questions from the Community

Ask a question

Earn 20 points

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?

The solution is relatively cost-effective. Pricing and licensing are reasonable compared to other solutions.

See all answers

What needs improvement with Vertica?

The product could improve by adding support for a wider variety of data types and enhancing features to better compete with other databases.

See all answers

Comparisons

CockroachDB vs Citus Data

Compared 20% of the time

Neon vs Citus Data

Compared 14% of the time

YugabyteDB vs Citus Data

Compared 13% of the time

SQL Server vs Citus Data

Compared 11% of the time

SingleStore vs Citus Data

Compared 5% of the time

More Citus Data Competitors

Teradata vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Snowflake vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Databricks vs OpenText Analytics Database (Vertica)

Compared 7% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 6% of the time

SQL Server vs OpenText Analytics Database (Vertica)

Compared 6% of the time

More OpenText Analytics Database (Vertica) Competitors

Product Reports

Buyer's Guide

Relational Databases Tools

February 2026

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Buyer's Guide

OpenText Analytics Database (Vertica)

January 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

February 2026

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