Software Alternatives, Accelerators & Startups

ArangoDB VS Apache HBase

Compare ArangoDB VS Apache HBase and see what are their differences

ArangoDB logo ArangoDB

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

Apache HBase logo Apache HBase

Apache HBase – Apache HBase™ Home
  • ArangoDB Landing page
    Landing page //
    2023-01-20
  • Apache HBase Landing page
    Landing page //
    2023-07-25

ArangoDB features and specs

  • Graph DB

Apache HBase features and specs

  • Scalability
    HBase is designed to scale horizontally, allowing it to handle large amounts of data by adding more nodes. This makes it suitable for applications requiring high write and read throughput.
  • Consistency
    It provides strong consistency for reads and writes, which ensures that any read will return the most recently written value. This is crucial for applications where data accuracy is essential.
  • Integration with Hadoop Ecosystem
    HBase integrates seamlessly with Hadoop and other components like Apache Hive and Apache Pig, making it a suitable choice for big data processing tasks.
  • Random Read/Write Access
    Unlike HDFS, HBase supports random, real-time read/write access to large datasets, making it ideal for applications that need frequent data updates.
  • Schema Flexibility
    HBase provides a flexible schema model that allows changes on demand without major disruptions, supporting dynamic and evolving data models.

Possible disadvantages of Apache HBase

  • Complexity
    Setting up and managing HBase can be complex and may require expert knowledge, especially for tuning and optimizing performance in large-scale deployments.
  • High Latency for Small Queries
    While HBase is designed for large-scale data, small queries can suffer from higher latency due to the overhead of its distributed nature.
  • Sparse Documentation
    Despite being widely used, HBase documentation and community support can sometimes be lacking, making issue resolution difficult for new users.
  • Dependency on Hadoop
    Since HBase depends heavily on the Hadoop ecosystem, issues or limitations with Hadoop components can affect HBase’s performance and functionality.
  • Limited Transaction Support
    HBase lacks full ACID transaction support, which can be a limitation for applications needing complex transactional processing.

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Apache HBase videos

Apache HBase 101: How HBase Can Help You Build Scalable, Distributed Java Applications

Category Popularity

0-100% (relative to ArangoDB and Apache HBase)
Databases
91 91%
9% 9
NoSQL Databases
91 91%
9% 9
Graph Databases
100 100%
0% 0
Development
0 0%
100% 100

User comments

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Reviews

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

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
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).

Apache HBase Reviews

We have no reviews of Apache HBase yet.
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Social recommendations and mentions

Apache HBase might be a bit more popular than ArangoDB. We know about 8 links to it since March 2021 and only 6 links to ArangoDB. 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)

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Apache HBase mentions (8)

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What are some alternatives?

When comparing ArangoDB and Apache HBase, 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.

Apache Ambari - Ambari is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Hadoop clusters.

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

Apache Pig - Pig is a high-level platform for creating MapReduce programs used with Hadoop.

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.