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MarkLogic vs PuppyGraph comparison

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Comparison Buyer's Guide

Executive Summary

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

MarkLogic
Ranking in NoSQL Databases
6th
Average Rating
8.6
Reviews Sentiment
6.0
Number of Reviews
12
Ranking in other categories
No ranking in other categories
PuppyGraph
Ranking in NoSQL Databases
23rd
Average Rating
8.6
Reviews Sentiment
6.3
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2026, in the NoSQL Databases category, the mindshare of MarkLogic is 3.2%, up from 2.0% compared to the previous year. The mindshare of PuppyGraph is 0.1%. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
MarkLogic3.2%
PuppyGraph0.1%
Other96.7%
NoSQL Databases
 

Featured Reviews

reviewer2812596 - PeerSpot reviewer
Senior Data Engineer at a insurance company with 10,001+ employees
Handling hierarchical insurance data has improved ETL workflows and still needs better integration
There are several things I have observed regarding MarkLogic's improvement areas. One challenge I notice is the learning curve and setup; it can be complex for someone new, especially when integrating with other systems or setting up indexing strategies for large datasets. I occasionally spend extra time fine-tuning indexes or query performance for really large documents. Another observation concerns tooling and ecosystem support, as it does not feel as rich as mainstream databases such as Hive or SQL servers in terms of connectors and integration or community resources. Sometimes I need to build custom scripts to bridge these gaps. Finally, monitoring and debugging distributed queries can be tricky; while it has built-in tools, deeper performance profiling or tracing is not always intuitive. Overall, these are not deal-breakers, but improvements in onboarding, ecosystem connectors, and monitoring would enhance the experience.
Gurmeet K. - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"MarkLogic has had a tangible positive impact on our organization."
"MarkLogic has impacted my organization positively because we have seen efficient results."
"MarkLogic has positively impacted my organization as I think company-wise, it is one of the go-to tools for validating the jobs we are running."
"MarkLogic's greatest asset is its strong engineering foundation. It was specifically designed with search capabilities in mind, and the developers placed a great emphasis on ensuring the quality of the indexing and all subsequent layers that were added."
"The rules can show us if there are missing items, like titles, and we can add them in to ensure everything is filled and makes sense and there are no missing details."
"Using MarkLogic has had a significant positive impact on our organization, especially in terms of performance, flexibility, and reliability."
"We moved to MarkLogic and created the API using JavaScript server-side language, and we saw almost 60% improvement in the speed of the search."
"After moving that into MarkLogic pipelines, the same process became almost near real-time or at least reduced to minutes in most cases."
"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

"MarkLogic's scalability is very bad. In production, when you get to know that your data is increasing and you need to add one more node, that is not easy and not straightforward."
"However, there is very limited documentation about MarkLogic's AI capabilities."
"One area where I feel MarkLogic can improve is the learning curve."
"The spreadsheet capabilities could be improved."
"One of the most common requests is to improve the user interface of the database. While it is primarily a database, there are other databases available that offer more user-friendly interfaces. The UI is good for developers but not for regular users. More visuals would be beneficial."
"The learning curve for new users or developers on MarkLogic is a bit tough at first, but afterwards it is really easy to understand for developers new to MarkLogic."
"I would say the features can be improved, as maybe the UI could be a little better."
"There are several things I have observed regarding MarkLogic's improvement areas."
"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

"MarkLogic is a pricey option, but there are some advantages to its pricing structure. For medium-sized clients or departments within larger companies, it is possible to obtain a license for one or two nodes for less than a hundred thousand dollars. Additionally, if you only need to deploy a single node, you can do so for under fifty thousand dollars. This is in contrast to other high-quality software options that are only accessible to larger businesses, where the starting price can be upwards of two hundred thousand dollars."
Information not available
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921,523 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Educational Organization
19%
Program Development Consultancy
15%
Transportation Company
13%
Financial Services Firm
7%
Construction Company
26%
Insurance Company
24%
Comms Service Provider
12%
Computer Software Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise3
Large Enterprise7
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for MarkLogic?
As far as I know, I am not directly associated with pricing, setup cost, and licensing, but MarkLogic is a bit more expensive than other technologies available. However, the support is really good,...
What needs improvement with MarkLogic?
MarkLogic can be improved by introducing a lot of languages to querying. Although I think it is self-sufficient if you know JavaScript and XQuery, for new people who want to onboard into MarkLogic,...
What is your primary use case for MarkLogic?
MarkLogic serves as our enterprise-level database with multiple applications. We have numerous source systems that dump data into MarkLogic. DHF flows manage transformation, harmonization, mapping,...
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, ...
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...
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 ...
 

Comparisons

 

Overview

 

Sample Customers

ALM, American Psychological Association, American Society of Agronomy, Cond_ Nast, Centers for Medicare and Medicaid Services, Institute of Engineering and Technology, JWG Group, Lagardre Active, RSuite CMS, Wiley
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Find out what your peers are saying about MarkLogic vs. PuppyGraph and other solutions. Updated: November 2026.
921,523 professionals have used our research since 2012.