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neo4j VS Oracle Spatial

Compare neo4j VS Oracle Spatial and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

neo4j logo neo4j

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

Oracle Spatial logo Oracle Spatial

Oracle Spatial and Graph supports a full range of geospatial data and analytics for land management and GIS, mobile location services, sales territory management, transportation, LiDAR analysis and location-enabled Business Intelligence.
  • neo4j Landing page
    Landing page //
    2023-05-09
  • Oracle Spatial Landing page
    Landing page //
    2023-09-18

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

Oracle Spatial

Website
oracle.com
Pricing URL
-
$ Details
-
Release Date
-
Edit details

neo4j features and specs

  • Graph DB

Oracle Spatial features and specs

  • Comprehensive Feature Set
    Oracle Spatial offers a wide range of geospatial data management and analysis features, which include advanced geometry types, spatial indexes, and powerful querying capabilities. This makes it suitable for complex spatial applications and integrations.
  • Integration with Oracle Database
    Being part of the Oracle Database, Oracle Spatial provides seamless integration with Oracle's robust data management and security features. This allows for efficient handling of large datasets along with the benefits of Oracle's performance, reliability, and data integrity features.
  • Scalability
    Oracle Spatial is scalable and can handle both small and large-scale spatial data applications, making it a viable choice for enterprises that need to scale their spatial operations as their data grows.
  • Spatial Analysis and Visualization Tools
    The platform supports a wide array of analytical and visualization tools, enabling richer spatial data interpretations and insights, which helps in making informed business decisions.

Possible disadvantages of Oracle Spatial

  • Complexity
    Oracle Spatial can be complex to set up and manage, especially for organizations without prior experience or specialized personnel, which may lead to a steeper learning curve and higher training costs.
  • Cost
    As with many Oracle products, Oracle Spatial can be costly to implement and maintain, which may not be the best fit for smaller organizations or those with limited budgets.
  • Vendor Lock-in
    Using Oracle Spatial can lead to dependency on Oracle's ecosystem, which might make it challenging to switch to other systems or integrate with non-Oracle products in the future.
  • Resource Intensive
    Oracle Spatial can be resource-intensive, requiring significant computational resources which might increase operational costs, especially for very large and complex datasets.

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

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

Oracle Spatial videos

+ Add

What’s New in Oracle Spatial Studio 20.1

Category Popularity

0-100% (relative to neo4j and Oracle Spatial)

neo4j

Oracle Spatial

Databases
93 93%
Databases
7% 7
Graph Databases
92 92%
Graph Databases
8% 8
NoSQL Databases
92 92%
NoSQL Databases
8% 8
Big Data
100 100%
Big Data
0% 0

User comments

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Reviews

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

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

Oracle Spatial Reviews

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

Social recommendations and mentions

Based on our record, neo4j seems to be more popular. It has been mentiond 34 times since March 2021. 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 2 months 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 2 months 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 / 4 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

Oracle Spatial mentions (0)

We have not tracked any mentions of Oracle Spatial yet. Tracking of Oracle Spatial recommendations started around Mar 2021.

What are some alternatives?

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

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

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

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

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Google Earth Pro - Google Earth Pro allows you fly anywhere around the earth to view satellite imagery, maps, 3D building, and terrain, from galaxies in outer space to the canyons of the ocean.

Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.

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