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Apache HBase VS kvdb.io

Compare Apache HBase VS kvdb.io and see what are their differences

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Apache HBase logo Apache HBase

Apache HBase – Apache HBase™ Home

kvdb.io logo kvdb.io

Simple key-value store as a service for metrics collection for IoT and more. Supports counters, arbitrary data, and key expiration out of the box.
  • Apache HBase Landing page
    Landing page //
    2023-07-25
  • kvdb.io Landing page
    Landing page //
    2021-11-04

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.

kvdb.io features and specs

No features have been listed yet.

Apache HBase videos

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

kvdb.io videos

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Category Popularity

0-100% (relative to Apache HBase and kvdb.io)

Apache HBase

kvdb.io

Databases
100 100%
Databases
0% 0
API
0 0%
API
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Realtime Backend / API
0 0%
Realtime Backend / API
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache HBase should be more popular than kvdb.io. It has been mentiond 8 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 HBase mentions (8)

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kvdb.io mentions (2)

  • Ask HN: Who wants to be hired? (July 2022)
    * Main side business: https://kvdb.io built in Go. In-progress work includes replacing the Lua scripting engine with a JavaScript engine. I think the app server paradigm of the 2000s will be back with a vengeance. Running for 4+ years and I intend to keep it running forever. - Source: Hacker News / almost 3 years ago
  • Ask HN: What is your current side-project?
    I’ve been running https://kvdb.io as a side project for a while. This weekend, I woke up to a bunch of alerts that the server had run out of open file descriptors (rookie mistake, I never expected to receive more than a thousand simultaneous requests). It turns out someone wrote a tutorial on how to automate COVID-19 appointment slot bookings and used KVdb to store SMS OTP codes. Never expected it, but a great... - Source: Hacker News / almost 4 years ago

What are some alternatives?

When comparing Apache HBase and kvdb.io, you can also consider the following products

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

Gez.la - Explore museums, galleries, aquariums, zoos and more around the world with virtual tours.

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

Gametime - Last minute sports, concert and theater tickets.

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

Cabal App - The Cabal mobile app makes it easy for investors to help their portfolio companies with sales, marketing, recruiting, and more.

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