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Apache Giraph VS ArangoDB

Compare Apache Giraph VS ArangoDB and see what are their differences

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Apache Giraph logo Apache Giraph

Graph Databases

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • Apache Giraph Landing page
    Landing page //
    2021-08-03
  • ArangoDB Landing page
    Landing page //
    2023-01-20

Apache Giraph features and specs

  • Scalability
    Apache Giraph is designed to run large-scale graph processing workloads on top of the Hadoop ecosystem, utilizing Hadoop's distributed processing capabilities to handle big data efficiently.
  • Fault Tolerance
    Built on the Hadoop framework, Giraph benefits from Hadoop's fault tolerance features, ensuring that the system can recover from hardware failures seamlessly during processing.
  • Performance Optimization
    Giraph optimizes graph processing through techniques such as message-combining, which reduces communication overhead, leading to improved performance on complex graph operations.
  • Open Source
    As an Apache project, Giraph is open source, allowing developers to freely use, modify, and contribute to its codebase, fostering an active community and continuous improvement.

Possible disadvantages of Apache Giraph

  • Complexity
    Setting up and configuring Giraph can be complex, especially for those not already familiar with the Hadoop ecosystem, making it less accessible for beginners.
  • Limited Support for Non-Graph Data
    Giraph is specifically designed for graph processing, which means it may not be the best choice for applications that require diverse data processing capabilities outside of graph analytics.
  • Smaller Community
    Compared to other big data processing tools, Giraph has a smaller community, which can lead to fewer learning resources, less third-party support, and slower updates or bug fixes.
  • Dependent on Hadoop
    Giraph's reliance on Hadoop means that it inherits some of Hadoop's limitations, such as the complexity of the Hadoop setup and performance issues that may arise in some configurations.

ArangoDB features and specs

  • Graph DB

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

Apache Giraph videos

+ Add

Fast, Scalable Graph Processing: Apache Giraph on YARN

More videos:

  • Review - Scalable Collaborative Filtering on top of Apache Giraph
  • Review - Large scale Collaborative Filtering using Apache Giraph

ArangoDB videos

+ Add

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

0-100% (relative to Apache Giraph and ArangoDB)

Apache Giraph

ArangoDB

Databases
7 7%
Databases
93% 93
NoSQL Databases
7 7%
NoSQL Databases
93% 93
Graph Databases
10 10%
Graph Databases
90% 90
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 Apache Giraph and ArangoDB

Apache Giraph Reviews

We have no reviews of Apache Giraph yet.
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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

Social recommendations and mentions

Based on our record, ArangoDB should be more popular than Apache Giraph. 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.

Apache Giraph mentions (1)

ArangoDB mentions (6)

View more

What are some alternatives?

When comparing Apache Giraph and ArangoDB, 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.

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

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.

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

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

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