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 #20 in SQL , with an average rating of 7.5, and holds a 2.5% mindshare in the category. OpenText is ranked #7 in Data Warehouse , with an average rating of 8.0, and holds a 7.8% 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

1,303 Views
1,225 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 86 OpenText Analytics Database (Vertica) reviews

4,357 Views
1,830 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.

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August 2025

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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 (20th)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Warehouse (7th), Cloud Data Warehouse (10th)

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 1.4% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 7.8% mindshare, down 9.3% since last year.

Relational Databases Tools

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

"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."

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

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

"The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good."

"Its projections and encoding are excellent tools for tuning large volumes."

"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."

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

"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."

"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."

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

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

More OpenText Analytics Database (Vertica) pros

Cons

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

"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."

"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."

"Whatever's out, the core is not always as great as the engine, especially their first version."

"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."

"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."

"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."

"It needs integration with multiple clouds."

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

"Limitations in group by projections is where I would like to see an improvement."

"I have found that coding support could be simplified."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

"Citus Data is an open-source product."

"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 price of Vertica is less expensive than some competitors, such as Teradata."

"The solution is relatively cost-effective."

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

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

"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."

"It's an expensive product"

"The pricing depends on the license model because there are several. It depends on the client, but it's cheaper than other solutions. I think it's cheap for all the functionality and robustness. It's not very expensive to deploy."

More OpenText Analytics Database (Vertica) pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

21%

Manufacturing Company

Financial Services Firm

Comms Service Provider

Financial Services Firm

18%

Computer Software Company

17%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Citus Data?

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

See all answers

What needs improvement with Citus Data?

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.

See all answers

What advice do you have for others considering Citus Data?

I rate the product a seven out of ten.

See all answers

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 25% of the time

YugabyteDB vs Citus Data

Compared 20% of the time

Neon vs Citus Data

Compared 17% of the time

Amazon Aurora vs Citus Data

Compared 7% of the time

Oracle Database vs Citus Data

Compared 3% of the time

More Citus Data Competitors

SQL Server vs OpenText Analytics Database (Vertica)

Compared 14% of the time

Teradata vs OpenText Analytics Database (Vertica)

Compared 11% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 9% of the time

Snowflake vs OpenText Analytics Database (Vertica)

Compared 8% of the time

Oracle Exadata vs OpenText Analytics Database (Vertica)

Compared 7% of the time

More OpenText Analytics Database (Vertica) Competitors

Product Reports

Buyer's Guide

Relational Databases Tools

August 2025

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Buyer's Guide

OpenText Analytics Database (Vertica)

August 2025

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

August 2025

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