DataStax Enterprise vs Neo4j Graph Database comparison

IBM and Neo4j are both solutions in the NoSQL Databases category. IBM is ranked #14 with an average rating of 8.0, while Neo4j is ranked #10 with an average rating of 9.0. IBM holds a 2.6% mindshare in ND, compared to Neo4j’s 6.0% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of Neo4j users who would recommend it.

DataStax Enterprise

Read 1 DataStax Enterprise review

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356 Comparison Views

100% willing to recommend

Neo4j Graph Database

Read 6 Neo4j Graph Database reviews

1,282 Views
1,115 Comparison Views

100% willing to recommend

DataStax Enterprise

Neo4j Graph Database

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Executive SummaryUpdated on Feb 8, 2026

DataStax Enterprise and Neo4j Graph Database compete in the field of data solutions. Neo4j Graph Database appears to have the upper hand due to its robust graph modeling capabilities and efficient deployment process despite DataStax Enterprise's advantageous pricing and scalability.

Features: DataStax Enterprise focuses on scalability, advanced analytics, and search functionality, essential for managing big data. Neo4j Graph Database emphasizes graph modeling, native graph storage, and an efficient query language, specifically designed for relationships and data connections.

Ease of Deployment and Customer Service: Neo4j Graph Database offers a straightforward deployment process tailored for graph data, with extensive documentation and robust support services. DataStax Enterprise, while offering comprehensive services, often demands complex deployment models suited for large-scale enterprise systems. Neo4j's deployment process is efficient and user-friendly, with responsive customer support.

Pricing and ROI: DataStax Enterprise's setup costs are generally seen as more favorable, offering a positive ROI with its broad scalability for large enterprises. Neo4j Graph Database, while potentially having a higher initial setup cost, provides significant ROI for companies focused on graph-based applications, validating its investment with superior insights on relationships and data connections.

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NoSQL Databases

March 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

DataStax Enterprise

Ranking in NoSQL Databases

14th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Vector Databases (15th)

Neo4j Graph Database

Ranking in NoSQL Databases

10th

Average Rating

8.6

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of DataStax Enterprise is 2.6%, up from 0.8% compared to the previous year. The mindshare of Neo4j Graph Database is 6.0%, up from 4.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Neo4j Graph Database	6.0%
DataStax Enterprise	2.6%
Other	91.4%

NoSQL Databases

Featured Reviews

Suzanne Kimono

Senior Software Engineer at Deloitte

Continuous data access has ensured high uptime and has supported real-time transactional processing

The best features DataStax Enterprise offers include scaling, speed of data access, and ease of use for those familiar with traditional SQL. The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers. It enables us to maintain our uptime, which is very crucial for our clients. DataStax Enterprise has positively impacted my organization by providing the ability to have our services up and running even with a total outage at one of our data centers. There is no need to maintain windows since we can turn off data centers while doing maintenance and then put them back in the rotation and move on. I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great.

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Raju Tsn

VP odfTechnology at Enterpi Software Solutions Private Limited

Delivers superior search and data aggregation capabilities

Neo4j helps with advanced search needs, providing good search results and aggregates compared to MongoDB. Aggregating with MongoDB can be difficult; however, with Neo4j, it's easier. Aggregating data, backing up, and creating new clusters are user-friendly from the back end. In DevOps web deployment, we noticed no database issues. We created Docker instances and set them up efficiently, managing databases up to 50 gigabytes.

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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

"I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great."

"The solution's best feature is how it differs from traditional SQL databases. It's hard to map people and find those near me in SQL, which requires long, complex queries. Neo4j Graph Database makes this easier with simpler queries. It also supports more data types, like JSON, which SQL doesn't."

"Enables people to understand what the business problem is and how the technology helps."

"As a graph database, I am surprised at their performance and response time."

"It is good for search-based tasks, providing solid search results and aggregate results."

"For now, the tool doesn't break down or stop, so it is quite stable."

"Creates the ability to visualize outputs."

Cons

"If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming, but DataStax Enterprise support will help us with this."

"The tool could improve by having more resources, especially for Golang, which we use. It lacks good basic libraries and doesn't have an ORM (Object-Relational Mapping) tool, which many NoSQL databases have. We thought about building an ORM for the Neo4j Graph Database but are too busy."

"There are concerns about performance and whether the tool can necessarily scale to provide the solution."

"So far, we have not had any issues and are happy with the product in general."

"For me, when the tool was deployed on an on-premises model, it was a little bit difficult the first time."

"The only problem is that the community is quite small."

Pricing and Cost Advice

Information not available

"The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwise, you can deploy it on your own cloud and pay based on usage."

"The tool is not expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

13%

Retailer

13%

Manufacturing Company

11%

Energy/Utilities Company

11%

Financial Services Firm

15%

Computer Software Company

University

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for DataStax Enterprise?

My experience with pricing, setup cost, and licensing indicates that the cost is a bit affordable, especially for my organization. However, for smaller organizations working under a tight budget, i...

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What needs improvement with DataStax Enterprise?

I think DataStax Enterprise can be improved by having a hybrid on-prem and cloud solution with Astra. Better compatibility with prior versions in terms of codebases should also be improved. More wa...

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What is your primary use case for DataStax Enterprise?

DataStax Enterprise serves as the primary database for all transactional processing in my organization. DataStax Enterprise provides linear scale as well as multi-data center real-time replication ...

See all answers

What is your experience regarding pricing and costs for Neo4j?

The solution is open source so that you can use it for free. They also offer an enterprise version with its billing. If your company is earning well, I suggest using the enterprise version. Otherwi...

See all answers

What needs improvement with Neo4j Graph Database?

The only problem is that the community is quite small.

See all answers

What is your primary use case for Neo4j Graph Database?

We have used Neo4j in microservices. In one of the microservices, we used Neo4j since we have some requirements similar to MongoDB plus Elasticsearch. It performs both functions. Instead of doing t...

See all answers

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Compared 11% of the time

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Compared 9% of the time

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Compared 8% of the time

More DataStax Enterprise Competitors

Microsoft Azure Cosmos DB vs Neo4j Graph Database

Compared 24% of the time

MongoDB Enterprise Advanced vs Neo4j Graph Database

Compared 15% of the time

Cassandra vs Neo4j Graph Database

Compared 9% of the time

SQL Server vs Neo4j Graph Database

Compared 7% of the time

MarkLogic vs Neo4j Graph Database

Compared 6% of the time

More Neo4j Graph Database Competitors

Product Reports

Buyer's Guide

NoSQL Databases

March 2026

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Buyer's Guide

Neo4j Graph Database

February 2026

Download Neo4j Graph Database product report

Overview

DataStax Enterprise offers a high-performance, scalable database solution designed for modern data requirements, supporting a wide array of use cases that demand real-time analytics and robust security.

Focusing on delivering powerful distributed databases, DataStax Enterprise integrates the open-source foundation of Apache Cassandra, delivering enhanced features for enterprises. It supports mission-critical applications at scale, providing real-time query capabilities and fault tolerance. Designed with high availability and operational efficiency, it supports complex data models and simplifies management with advanced tools for monitoring and repair.

What are the standout features of DataStax Enterprise?

Advanced Security: Provides comprehensive data protection with encryption and identity management.
Graph Database Support: Allows complex data relationships to be easily modeled and queried.
Search Integration: Facilitates full-text search capabilities combined with Cassandra's strengths.
Analytics: Offers integrated analytics with Apache Spark for real-time data processing.
Multi-Cloud Support: Ensures easy deployment across different cloud environments without vendor lock-in.

What benefits should reviews highlight?

Scalability: Seamlessly expands to accommodate growing data volumes and user demands.
Performance: Maintains high-speed data processing even at massive scales.
Resilience: Provides high availability to ensure business continuity.
Cost Efficiency: Enables optimization of infrastructure investments with flexible deployments.

In industries such as finance, telecommunications, and retail, DataStax Enterprise is implemented to handle immense data workloads, often leveraging its capabilities for fraud detection, personalized customer experiences, and real-time decision-making. Its deployment in these sectors highlights its adaptability and performance in demanding environments.

IBM

Neo4j is the graph database solution allowing the analysis of complex relationships and patterns in data, leading to better decision-making and improved business processes. The graph database offers easy data integration from multiple sources, providing a more comprehensive view.

The most valuable aspect of a graph database is its performance and response time, as it does not use the join function and only has nodes and raw data. Overall, Neo4j, as a global first-ranking solution, has helped organizations become more efficient and effective in data analysis and decision-making processes.

Neo4j

Sample Customers

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target

Walmart, Telenor, Wazoku, Adidas, Cerved, GameSys, eBay, Schleich, ICIJ, die Bayerisch, Megree, InfoJobs, LinkedIn

Find out what your peers are saying about MongoDB, Microsoft, Couchbase and others in NoSQL Databases. Updated: March 2026.

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