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neo4j VS DataStax

Compare neo4j VS DataStax and see what are their differences

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neo4j logo neo4j

Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

DataStax logo DataStax

DataStax delivers a scalable, flexible and continuously available big data platform built on Apache Cassandra.
  • neo4j Landing page
    Landing page //
    2023-05-09
  • DataStax Landing page
    Landing page //
    2023-09-12

neo4j

Website
neo4j.com
Pricing URL
Official neo4j Pricing
$ Details
Release Date
2007 January
Startup details
Country
United States
State
California
City
San Mateo
Founder(s)
Emil Eifrem
Employees
500 - 999
Edit details

DataStax

Website
datastax.com
Pricing URL
Official DataStax Pricing
$ Details
-
Release Date
-
Edit details

neo4j features and specs

  • Graph DB

DataStax features and specs

  • Scalability
    DataStax offers seamless scalability for both read and write operations. This feature ensures performant handling of large-scale data across distributed nodes.
  • High Availability
    With built-in fault tolerance and no single point of failure, DataStax ensures data is always accessible, providing highly reliable service.
  • Multi-cloud Support
    DataStax supports deployment across multiple cloud providers, allowing for flexibility and avoiding vendor lock-in.
  • Real-time Analytics
    DataStax provides integrated real-time analytics features, which are crucial for applications that require immediate data processing and insights.
  • Advanced Security Features
    The platform comes with robust security mechanisms such as encryption, role-based access control, and auditing, ensuring data is protected.
  • Cassandra Foundation
    Built on Apache Cassandra, DataStax inherits the proven performance and scalability traits of Cassandra, ensuring a solid and reliable foundation.

Possible disadvantages of DataStax

  • Complexity
    The initial setup and configuration can be complex, which may require a steep learning curve and specialized knowledge.
  • Cost
    DataStax can be expensive compared to open-source alternatives, particularly for smaller organizations or startups with limited budgets.
  • Operational Overhead
    Ongoing maintenance and operational tasks can be resource-intensive, requiring dedicated personnel for optimal performance management.
  • Limited SQL Support
    As it uses CQL (Cassandra Query Language) instead of traditional SQL, there may be limitations in query capabilities for those used to relational database systems.
  • Third-party Integration
    While DataStax integrates with many tools, there could be challenges or limitations when integrating with certain third-party software or systems.
  • Consistency Model
    The eventual consistency model used by DataStax may not be suitable for applications that require immediate consistency across all nodes.

Analysis of neo4j

Overall verdict

  • Yes, Neo4j is generally regarded as a good choice for applications where understanding and leveraging relationships between data points is crucial. Its mature ecosystem, active community, and extensive documentation further enhance its credibility and usability.

Why this product is good

  • Neo4j is considered a leading graph database platform that is highly effective for storing and querying complex data relationships. It is appreciated for its powerful query language, Cypher, useful for handling connected data. Its graph model is intuitive for users to understand and map to real-world applications, making it popular for use cases such as social networking, recommendation engines, and fraud detection.

Recommended for

  • Social network analysis
  • Recommendation systems
  • Fraud detection
  • Network and IT operations
  • Knowledge graphs
  • Data lineage tracking

Analysis of DataStax

Overall verdict

  • DataStax is generally considered a strong choice for businesses that require scalable, high-performance databases with robust cloud capabilities.

Why this product is good

  • DataStax offers a powerful database management platform built on Apache Cassandra, known for its ability to handle large volumes of data across distributed environments reliably. The platform is highly scalable, provides low-latency transactions, and is optimized for cloud deployments. DataStax also includes enterprise-grade features such as advanced security, analytics, and Kubernetes support. These features make it suitable for organizations that need high availability and seamless data replication across multiple locations.

Recommended for

  • Organizations with large-scale data needs
  • Businesses requiring distributed, cloud-native databases
  • Enterprises needing robust security features
  • Companies aiming to leverage real-time data analytics
  • Firms looking for scalable solutions across multiple locations

neo4j videos

+ Add

All about GRAND Stack: GraphQL, React, Apollo, and Neo4j

More videos:

  • Review - Kevin Van Gundy | Building a Recommendation Engine with Neo4j and Python

DataStax videos

+ Add

DataStax Jobs Review - DataStax Introduction

More videos:

  • Review - "What is DataStax?" In Under 1 Minute | DataStax at AWS re:Invent 2018
  • Review - When Rotten Tomatoes Isn’t Enough: Analyzing Twitter Movie Reviews Using DataStax... - Amanda Moran

Category Popularity

0-100% (relative to neo4j and DataStax)

neo4j

DataStax

Databases
100 100%
Databases
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100
Graph Databases
100 100%
Graph Databases
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100

User comments

Share your experience with using neo4j and DataStax. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare neo4j and DataStax

neo4j Reviews

Top 15 Free Graph Databases
Neo4j is an open-source graph database, implemented in Java described as embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in tables. Neo4j Community Edition
Source: www.predictiveanalyticstoday.com
ArangoDB vs Neo4j - What you can't do with Neo4j
Multi-Model: Neo4j is a single-model graph database. It does not support any other data models. If your application requires a document or key/value store, you would have to use a second database technology to support it. Being multi-model, ArangoDB allows you to not only use one database for everything,but run ad hoc queries on data stored in different models.
Source: www.arangodb.com

DataStax Reviews

We have no reviews of DataStax yet.
Be the first one to post

Social recommendations and mentions

Based on our record, neo4j seems to be a lot more popular than DataStax. While we know about 34 links to neo4j, we've tracked only 2 mentions of DataStax. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

neo4j mentions (34)

  • 6 retrieval augmented generation (RAG) techniques you should know
    The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / about 1 month ago
  • LLM to extract and auto generate knowledge graph - step by step, in ~100 lines of python
    Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / about 1 month ago
  • 10 Ways AI Can Speed Up your Mobile App Development
    Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / 3 months ago
  • Databases in 2024: A Year in Review
    Great heads up. I wonder about graph databases. He mentioned and both include the graph use case and I wonder how they compare to . - Source: Hacker News / 5 months ago
  • Installing Neo4j In Ubuntu
    The first blog in this series is to install neo4j - desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS. - Source: dev.to / 10 months ago
View more

DataStax mentions (2)

  • Using Datastax Langflow and AstraDB to Create a Multi-Agent Research Assistant with Safety Check - Part 1: Safety and Search
    This is the first part of a multipart post about creating a multi-agent research assistant using Datastax AstraDB and Langflow. - Source: dev.to / 6 months ago
  • Vector Search is Eating the Web
    When it comes to building one's own RAG applications, DataStax's Astra seems to be the preferred database solution for deploying RAG applications, thanks to its robust API and integrations that facilitate the development of high-performance RAG applications. Astra DB's architecture supports the high demands of RAG by providing low latency and high relevancy in data retrieval, which are pretty important for the... - Source: dev.to / about 1 year ago

What are some alternatives?

When comparing neo4j and DataStax, you can also consider the following products

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Ataccama - We deliver Self-Driving Data Management & Governance with Ataccama ONE. It’s a fully integrated yet modular platform for any data, user, domain, or deployment.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Dell EMC DataIQ - Dell EMC DataIQ is one of the unique storage monitoring and dataset management software for unstructured data that allows a unified file system of PowerScale, ECS, and delivers unique insights into data usage and storage system health.

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

1010Data - 1010data provides cloud-based big data analytics for retail, manufacturing, telecom and financial services enterprises.

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