OpenText Analytics Database (Vertica) vs PuppyGraph comparison

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OpenText and PuppyGraph are both solutions in the NoSQL Databases category. Additionally, 91% of OpenText users are willing to recommend the solution, compared to 100% of PuppyGraph users who would recommend it.

OpenText Analytics Database...

Read 90 OpenText Analytics Database (Vertica) reviews

10,194 Views
5,913 Comparison Views

91% willing to recommend

PuppyGraph

Read 2 PuppyGraph reviews

3,314 Views
0 Comparison Views

100% willing to recommend

OpenText Analytics Database...

PuppyGraph

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Executive Summary

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

Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed OpenText Analytics Database (Vertica) vs. PuppyGraph Report (Updated: November 2026).

Buyer's Guide

OpenText Analytics Database (Vertica) vs. PuppyGraph

November 2026

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Helped 921,523 peers since 2012

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

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th), Cloud Data Warehouse (12th)

PuppyGraph

Average Rating

8.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

NoSQL Databases (23rd)

Featured Reviews

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.

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Gurmeet K.

Senior Product Manager at a computer software company with 11-50 employees

Unified graph querying has driven deep multi-hop reasoning and transformed data governance

There are multiple features of PuppyGraph that I personally love. One of them is zero-ETL graph querying, which helps us connect with our data warehouses easily and link via dynamic JSON graph schemas. This enables us to explore relational tables, nodes, and edges in under seven minutes, which previously took three and a half hours, so it is a great reduction. I also love the massive distributed graph scalability. The distributed vectorized compute engine helps us auto-shard queries across nodes and consistently execute 10-hop traversals across multi-billion edge data sets in under two seconds. Additionally, I appreciate the unified single source of truth. It helps us commit to the underlying tables, and those commits are immediately queryable in the graph layer within zero seconds of ETL replication lag. This ensures that our AI agents never reason over stale data and always access the latest data without any lag or changes left. The governance and security of PuppyGraph are very good, and I would rate it 10 out of 10 in that aspect. PuppyGraph's governance and security features have helped our organization, as it queries lakehouse tables directly where they originate. This delivers an exceptional governance posture for our enterprise applications with the help of inherent source-level governance and ABAC, which has supported the existing row-level security while helping us implement RBAC and column masking policies. It stabilizes operations inside Snowflake in our data warehouses and has achieved 100% policy consistency with zero security drift. The accuracy and reliability of PuppyGraph's output are really great.

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Quotes from Members

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

Pros

"The implementation itself is excellent with fantastic features, speed and scalability."

"The initial setup was straightforward."

"The service and support from Vertica was excellent. Every tech and sales rep I dealt with was very responsive, pleasant, and helped me solve any engineering issues we ran into in very short order."

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

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

"Vertica is superior to other solutions in query performance."

"Columnar storage makes 'hot data' available much faster than a traditional RDBMS solution."

"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."

More OpenText Analytics Database (Vertica) pros

"PuppyGraph is the best answer."

"PuppyGraph has positively impacted our organization by driving transformative capital efficiency across our pipeline infrastructure, our storage footprint, and our product delivery."

Cons

"More Machine Learning algorithms--Random Forest for sure!"

"Yes, there is a functionality in Vertica "Broadcast" that high the process level of our Network Switch Core. I had a serious problem with this because I interrupted the network service in the company."

"There have been some issues with deleting and updating data from tables."

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

"More ML, both data prep, models, evaluation and workflow."

"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."

"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."

"Stability, scalability (3 node Community Edition) and backup/restore all need to be worked on."

More OpenText Analytics Database (Vertica) cons

"PuppyGraph is not a long-term solution as it is a virtual graph. Eventually, after we get the model right, we needed to move to Memgraph, another graph database."

Pricing and Cost Advice

"Vertica is an expensive tool."

"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."

"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."

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

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

"I am aware that we have licensed it, but I have no knowledge of its cost."

"It's an expensive product"

More OpenText Analytics Database (Vertica) pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Outsourcing Company

13%

Manufacturing Company

11%

Comms Service Provider

Construction Company

26%

Insurance Company

24%

Comms Service Provider

12%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	43

No data available

Questions from the Community

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.

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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...

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What is your primary use case for Vertica?

The main use case for OpenText Analytics Database (Vertica) is that we have the Hive and a Hadoop layer for data availability, and Vertica serves as a big data solution. Within a Hive table, OpenTe...

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What needs improvement with PuppyGraph?

PuppyGraph is a virtual graph and not a real graph data model. However, at some point in time, once we freeze this as the graph and the graph data model, we would like to extend to a proper graph, ...

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What is your primary use case for PuppyGraph?

The main use case for PuppyGraph is establishing a graph data model layer on top of our existing systems. We do not want to bring in a new product which is completely graph-oriented, mainly because...

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What advice do you have for others considering PuppyGraph?

There are no concrete recommendations. The important thing is that if they have to choose PuppyGraph, they need to have the clarity that PuppyGraph is not a long-term solution. Only if they have a ...

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Microsoft Parallel Data Warehouse vs OpenText Analytics Database (Vertica)

Compared 5% of the time

SAP IQ vs OpenText Analytics Database (Vertica)

Compared 4% of the time

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Compared 21% of the time

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Product Reports

Buyer's Guide

OpenText Analytics Database (Vertica)

October 2026

OpenText Analytics Database (Vertica) report

Download OpenText Analytics Database (Vertica) product report

Buyer's Guide

NoSQL Databases

October 2026

Download PuppyGraph product report

Also Known As

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

No data available

Overview

OpenText Analytics Database Vertica enhances data processing with swift queries, scalability, and efficient compression, optimally managing enterprise-level data with minimal storage.

OpenText Analytics Database Vertica provides high availability clustering, columnar storage, and parallel processing to deliver fast data ingestion and real-time insights. Projections improve performance and simplify query tuning. The Management Console assists with administration, and integration with BI tools streamlines analytics. Adapted for handling large data volumes, Vertica supports data warehousing, ETL, geospatial analysis, and operational reporting across sectors such as media, finance, and telecom.

What are the most important features of OpenText Analytics Database Vertica?

Query Speed: Efficient processing for faster data queries.
Scalability: Supports large-scale data management seamlessly.
Data Compression: Reduces storage needs significantly.
High Availability: Ensures data remains accessible.
Columnar Storage: Enhances storage efficiency.
Parallel Processing: Boosts data handling capabilities.

What are the anticipated benefits and ROI when using OpenText Analytics Database Vertica?

Performance Efficiency: High-speed analytics and reduced maintenance demands.
Real-Time Insights: Swift data ingestion enables immediate decision-making.
Integration Ease: Works well with popular BI tools enhancing existing analytics.
Storage Savings: Column-oriented design leads to reduced storage costs.

Organizations in media, finance, and telecom rely on Vertica's capabilities to integrate with Power BI and Tableau, facilitating advanced data analytics and machine learning for business improvements. Its support for ETL processes, real-time processing, and geospatial analysis positions Vertica as critical for operational reporting and decision support systems.

OpenText

PuppyGraph is a dynamic tool designed to enhance data visualization capabilities, empowering users with robust features that make data analysis accessible and efficient. Ideal for tech-savvy audiences, it seamlessly integrates into diverse workflows, addressing both ease of use and performance requirements.

PuppyGraph provides an intuitive platform aimed at transforming complex data sets into comprehensive visual formats. It supports a wide range of data inputs, ensuring compatibility and flexibility. With its focus on enhancing interpretability, it allows users to generate real-time insights that drive informed decision-making processes across industries.

What are the key features of PuppyGraph?

Customizable Dashboards: Design personalized data displays for user-specific insights.
Real-time Data Processing: Experience up-to-the-minute data updates for timely analysis.
Integration Capabilities: Seamlessly connect with external data sources for a cohesive data strategy.
Advanced Analytics Tools: Harness sophisticated tools for in-depth data exploration.

What benefits and ROI should users consider?

Improved Efficiency: Streamlined data processes save time and resources.
Enhanced Decision-Making: Data-driven insights support strategic planning and actions.
Scalability: Adaptability to growing data demands ensures long-term utility.
Cost-Effectiveness: Optimized features result in financial savings across operations.

In industries like finance and healthcare, PuppyGraph's capabilities facilitate secure and detailed data visualization, essential for regulatory and analytical tasks. Retailers leverage its real-time data updates to fine-tune inventory strategies, whereas tech firms use advanced analytics to enter new markets and innovate without risk.

PuppyGraph

Sample Customers

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

Information Not Available

Buyer's Guide

OpenText Analytics Database (Vertica) vs. PuppyGraph

November 2026

Free Report: OpenText Analytics Database (Vertica) vs. PuppyGraph

Find out what your peers are saying about OpenText Analytics Database (Vertica) vs. PuppyGraph and other solutions. Updated: November 2026.

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