Software Alternatives, Accelerators & Startups
Register | Login

ArangoDB VS Oracle Spatial

Compare ArangoDB VS Oracle Spatial and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

ArangoDB logo ArangoDB

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

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.
  • ArangoDB Landing page
    Landing page //
    2023-01-20
  • Oracle Spatial Landing page
    Landing page //
    2023-09-18

ArangoDB 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 ArangoDB

Overall verdict

  • ArangoDB is indeed a good option for those looking for a flexible, feature-rich, and scalable database solution. It caters to modern applications requiring diverse data representations and complex querying capabilities, particularly when graph functionality is vital. However, the right choice depends on specific project requirements and familiarity with ArangoDB’s features and ecosystem.

Why this product is good

  • ArangoDB is a highly versatile database solution known for its multi-model approach, which supports document, key/value, and graph data models. This flexibility allows for complex data structures and enables developers to use the most suitable model for their specific application needs all within a single database. Additionally, ArangoDB offers robust features such as a powerful query language (AQL), scalability, a flexible architecture, and native support for graph analytics, making it suitable for a wide range of use cases.

Recommended for

  • Developers and organizations needing a multi-model database solution
  • Projects requiring complex data analysis, including graph algorithms
  • Applications that can benefit from a flexible, schema-free data structure
  • Teams looking for scalability and horizontal expansion capabilities
  • Environments with diverse data representation needs where maintaining multiple databases is inefficient

ArangoDB videos

+ Add

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Oracle Spatial videos

+ Add

What’s New in Oracle Spatial Studio 20.1

Category Popularity

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

ArangoDB

Oracle Spatial

Databases
94 94%
Databases
6% 6
NoSQL Databases
94 94%
NoSQL Databases
6% 6
Graph Databases
90 90%
Graph Databases
10% 10
Relational Databases
100 100%
Relational Databases
0% 0

User comments

Share your experience with using ArangoDB and Oracle Spatial. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. ArangoDB
Source: www.predictiveanalyticstoday.com
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).
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, ArangoDB seems to be more popular. It has been mentiond 6 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.

ArangoDB mentions (6)

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 ArangoDB and Oracle Spatial, you can also consider the following products

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

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

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

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

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.

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Loading...