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Hadoop VS OrientDB

Compare Hadoop VS OrientDB and see what are their differences

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

Hadoop logo Hadoop

Open-source software for reliable, scalable, distributed computing

OrientDB logo OrientDB

OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.
  • Hadoop Landing page
    Landing page //
    2021-09-17
  • OrientDB Landing page
    Landing page //
    2022-02-03

Hadoop features and specs

No features have been listed yet.

OrientDB features and specs

  • Graph DB: Yes

Hadoop videos

+ Add

What is Big Data and Hadoop?

More videos:

  • Review - Product Ratings on Customer Reviews Using HADOOP.
  • Tutorial - Hadoop Tutorial For Beginners | Hadoop Ecosystem Explained in 20 min! - Frank Kane

OrientDB videos

+ Add

OrientDB - the 2nd generation of (MultiModel) NoSQL by Luigi Dell'Aquila

More videos:

  • Review - OrientDB Studio Overview
  • Review - OrientDB & Hazelcast: In-Memory Distributed Graph Database

Category Popularity

0-100% (relative to Hadoop and OrientDB)

Hadoop

OrientDB

Databases
26 26%
Databases
74% 74
Big Data
100 100%
Big Data
0% 0
NoSQL Databases
9 9%
NoSQL Databases
91% 91
Relational Databases
100 100%
Relational Databases
0% 0

User comments

Share your experience with using Hadoop and OrientDB. 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 Hadoop and OrientDB

Hadoop Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Companies considering Hadoop should be aware of its costs. A significant portion of the cost of implementing Hadoop comes from the computing power required for processing and the expertise needed to maintain Hadoop ETL, rather than the tools or storage themselves.
Source: www.datacamp.com
16 Top Big Data Analytics Tools You Should Know About
Hadoop is an Apache open-source framework. Written in Java, Hadoop is an ecosystem of components that are primarily used to store, process, and analyze big data. The USP of Hadoop is it enables multiple types of analytic workloads to run on the same data, at the same time, and on a massive scale on industry-standard hardware.
Source: www.analytixlabs.co.in
5 Best-Performing Tools that Build Real-Time Data Pipeline
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than relying on hardware to deliver high-availability, the library itself is...
Source: www.analyticsinsight.net

OrientDB Reviews

9 Best MongoDB alternatives in 2019
OrientDB is an open source NoSQL multi-model database. It allows organizations to unlock the true power of graph databases without the need to deploy multiple systems to handle other data types. This helps you to increase performance and security while supporting scalability.
Source: www.guru99.com
Top 15 Free Graph Databases
OrientDB is a 2nd Generation Distributed Graph Database with the flexibility of Documents in one product. It can store 220,000 records per second on common hardware. Even for a Document based database, the relationships are managed as in Graph Databases with direct connections among records. OrientDB Community Edition
Source: www.predictiveanalyticstoday.com

Social recommendations and mentions

Based on our record, Hadoop seems to be a lot more popular than OrientDB. While we know about 16 links to Hadoop, we've tracked only 1 mention of OrientDB. 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.

Hadoop mentions (16)

View more

OrientDB mentions (1)

What are some alternatives?

When comparing Hadoop and OrientDB, you can also consider the following products

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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.

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

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

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

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