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.
HarperDB is a tool in the Databases category of a tech stack.
Who uses HarperDB?
4 developers on StackShare have stated that they use HarperDB.
Python, Node.js, Docker, Kubernetes, and Amazon S3 are some of the popular tools that integrate with HarperDB. Here's a list of all 15 tools that integrate with HarperDB.
Pros of HarperDB
- Edge Computing
- On Prem
- Globally Distributed
- Custom Functions
- Hybrid Cloud
- Clustering and Replication
- Dynamic Schema
- Small Footprint
- SQL Query Engine
- Full NoSQL Capabilities
- Configurable Table-Level Pub/Sub
- Built In API with Single End Point
- Role Based Security
- User Friendly Management Studio
- Industry Standard Interfaces & Drivers
HarperDB Alternatives & Comparisons
What are some alternatives to HarperDB?
See all alternatives
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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.
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
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.