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 #18 in SQL , with an average rating of 7.5, and holds a 2.7% mindshare in the category. OpenText is ranked #7 in Data Warehouse , with an average rating of 7.6, and holds a 6.9% 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

1,286 Views
1,209 Comparison Views

100% willing to recommend

OpenText Analytics Database...

Read 86 OpenText Analytics Database (Vertica) reviews

3,844 Views
1,653 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: September 2025).

Buyer's Guide

Relational Databases Tools

September 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 (18th)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Warehouse (7th), 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 2.7%, up 1.6% compared to last year.
OpenText Analytics Database (Vertica), on the other hand, focuses on Data Warehouse, holds 6.9% mindshare, down 9.2% since last year.

Relational Databases Tools Market Share Distribution
Product	Market Share (%)
Citus Data	2.7%
SQL Server	15.5%
Oracle Database	12.6%
Other	69.2%

Relational Databases Tools

Data Warehouse Market Share Distribution
Product	Market Share (%)
OpenText Analytics Database (Vertica)	6.9%
Oracle Exadata	14.2%
Snowflake	12.5%
Other	66.4%

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."

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

"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."

"The most valuable feature of Vertica is the unmatchable database performance."

"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."

"I enjoy the cybersecurity and backup features."

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

"Any novice user can tune vertical queries with minimal training (or no training at all)."

"It has improved my organization's functionality and performance."

"The most valuable feature is Vertica's performance and the ease of using the database."

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

More OpenText Analytics Database (Vertica) pros

Cons

"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."

"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."

"Very bad support, I would rate it two out of 10."

"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."

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

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

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

"The biggest problem is the cost of cloud deployment."

"I believe the installation process could be streamlined."

"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."

More OpenText Analytics Database (Vertica) cons

Pricing and Cost Advice

"Citus Data is an open-source product."

"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."

"It's free up to three nodes and 1TB, and then get in contact with their sales guys."

"The price is reasonable. We use a pay per license model. Firstly, you need to buy a license. After that, you mainly pay the annual support fee of around 20% or 25%. I think their prices are quite reasonable."

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

"It's an expensive product"

"It is fast to purchase through the AWS Marketplace."

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

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

More OpenText Analytics Database (Vertica) pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

20%

Comms Service Provider

Manufacturing Company

Consumer Goods Company

Financial Services Firm

18%

Computer Software Company

16%

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

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 26% of the time

Neon vs Citus Data

Compared 19% of the time

YugabyteDB vs Citus Data

Compared 16% of the time

SQL Server vs Citus Data

Compared 7% of the time

More Citus Data Competitors

Teradata vs OpenText Analytics Database (Vertica)

Compared 12% of the time

SQL Server vs OpenText Analytics Database (Vertica)

Compared 12% of the time

Snowflake vs OpenText Analytics Database (Vertica)

Compared 8% of the time

BigQuery vs OpenText Analytics Database (Vertica)

Compared 7% 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

September 2025

Download Citus Data product report

Buyer's Guide

OpenText Analytics Database (Vertica)

September 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

September 2025

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