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Hadoop

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HarperDB

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Hadoop vs HarperDB: What are the differences?

Hadoop: Open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets 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; HarperDB: IoT Database that runs from the edge to the cloud. HarperDB is a database that optimizes the data value chain for any size company without sacrificing features, functionality and stability. HarperDB is designed to run from the edge to the cloud. HarperDB was founded in Denver, CO with the belief that database architecture can be simple and accessible to everyone.

Hadoop and HarperDB belong to "Databases" category of the tech stack.

Hadoop is an open source tool with 9.27K GitHub stars and 5.78K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.

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Pros of Hadoop
Pros of HarperDB
  • 39
    Great ecosystem
  • 11
    One stack to rule them all
  • 4
    Great load balancer
  • 1
    Amazon aws
  • 1
    Java syntax
  • 2
    Data api
  • 1
    Custom Functions
  • 1
    Edge capabilities
  • 1
    Cost efficient
  • 1
    Integration
  • 1
    Flexibility
  • 1
    Performance
  • 1
    Distribution capabilities

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- No public GitHub repository available -

What is Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets 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.

What is HarperDB?

With flexible user-defined APIs, simple HTTP/s interface, and a high-performance single-model data store that accommodates both NoSQL and SQL workloads, HarperDB scales with your application from proof of concept to production.

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What companies use Hadoop?
What companies use HarperDB?
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What are some alternatives to Hadoop and HarperDB?
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
Snowflake
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
See all alternatives