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Apache Kudu VS OrientDB

Compare Apache Kudu VS OrientDB and see what are their differences

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

Apache Kudu logo Apache Kudu

Apache Kudu is Hadoop's storage layer to enable fast analytics on fast data.

OrientDB logo OrientDB

OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.
  • Apache Kudu Landing page
    Landing page //
    2021-09-26
  • OrientDB Landing page
    Landing page //
    2022-02-03

Apache Kudu features and specs

No features have been listed yet.

OrientDB features and specs

  • Graph DB: Yes

Apache Kudu videos

+ Add

Apache Kudu and Spark SQL for Fast Analytics on Fast Data (Mike Percy)

More videos:

  • Review - Apache Kudu (Incubating): New Hadoop Storage for Fast Analytics on Fast Data
  • Review - Apache Kudu: Fast Analytics on Fast Data | DataEngConf SF '16

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 Apache Kudu and OrientDB)

Apache Kudu

OrientDB

Technical Computing
100 100%
Technical Computing
0% 0
Databases
0 0%
Databases
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Apache Kudu 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 Apache Kudu and OrientDB

Apache Kudu Reviews

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

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, OrientDB seems to be more popular. It has been mentiond 1 time 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.

Apache Kudu mentions (0)

We have not tracked any mentions of Apache Kudu yet. Tracking of Apache Kudu recommendations started around Mar 2021.

OrientDB mentions (1)

What are some alternatives?

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

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

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

Azure Databricks - Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.

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

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.

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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