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Oracle Spatial VS Apache Cassandra

Compare Oracle Spatial VS Apache Cassandra and see what are their differences

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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.

Apache Cassandra logo Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.
  • Oracle Spatial Landing page
    Landing page //
    2023-09-18
  • Apache Cassandra Landing page
    Landing page //
    2022-04-17

Oracle Spatial videos

+ Add

What’s New in Oracle Spatial Studio 20.1

Apache Cassandra videos

+ Add

Course Intro | DS101: Introduction to Apache Cassandra™

More videos:

  • Review - Introduction to Apache Cassandra™

Category Popularity

0-100% (relative to Oracle Spatial and Apache Cassandra)

Oracle Spatial

Apache Cassandra

Databases
5 5%
Databases
95% 95
Graph Databases
26 26%
Graph Databases
74% 74
NoSQL Databases
7 7%
NoSQL Databases
93% 93
Relational Databases
0 0%
Relational Databases
100% 100

User comments

Share your experience with using Oracle Spatial and Apache Cassandra. 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 Oracle Spatial and Apache Cassandra

Oracle Spatial Reviews

We have no reviews of Oracle Spatial yet.
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Apache Cassandra Reviews

16 Top Big Data Analytics Tools You Should Know About
Application Areas: If you want to work with SQL-like data types on a No-SQL database, Cassandra is a good choice. It is a popular pick in the IoT, fraud detection applications, recommendation engines, product catalogs and playlists, and messaging applications, providing fast real-time insights.
Source: www.analytixlabs.co.in
9 Best MongoDB alternatives in 2019
The Apache Cassandra is an ideal choice for you if you want scalability and high availability without affecting its performance. This MongoDB alternative tool offers support for replicating across multiple datacenters.
Source: www.guru99.com

Social recommendations and mentions

Based on our record, Apache Cassandra seems to be more popular. It has been mentiond 40 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.

Oracle Spatial mentions (0)

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

Apache Cassandra mentions (40)

  • Understanding SQL vs. NoSQL Databases: A Beginner's Guide
    On the other hand, NoSQL databases are non-relational databases. They store data in flexible, JSON-like documents, key-value pairs, or wide-column stores. Examples include MongoDB, Couchbase, and Cassandra. - Source: dev.to / 25 days ago
  • How to choose the right type of database
    HBase and Cassandra: Both cater to non-structured Big Data. Cassandra is geared towards scenarios requiring high availability with eventual consistency, while HBase offers strong consistency and is better suited for read-heavy applications where data consistency is paramount. - Source: dev.to / 2 months ago
  • Asynchronous driver written in Rust for ScyllaDB, Cassandra and AWS Keyspaces.
    Dear r/python, we are happy to present you with our first open-source project. We have managed to implement a new driver for Python that works with Apache Cassandra, ScyllaDB and AWS Keyspaces. Source: 8 months ago
  • How to Choose the Right Document-Oriented NoSQL Database for Your Application
    NoSQL is a term that we have become very familiar with in recent times and it is used to describe a set of databases that don't make use of SQL when writing & composing queries. There are loads of different types of NoSQL databases ranging from key-value databases like the Reddis to document-oriented databases like MongoDB and Firestore to graph databases like Neo4J to multi-paradigm databases like FaunaDB and... - Source: dev.to / 8 months ago
  • NoSQL Databases vs Graph Databases: Which one should you use?
    To use NoSQL databases with code, you first need to choose a NoSQL database that suits your requirements. Some popular examples of NoSQL databases are MongoDB, Cassandra, Redis, and DynamoDB. Each of these databases has its own set of APIs and drivers that can be used to interact with them. Here, I'll use MongoDB as an example and explain how to perform CRUD operations using Python and its PyMongo package. - Source: dev.to / about 1 year ago
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What are some alternatives?

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

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.

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.

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

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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