What is HarperDB?
HarperDB helps companies create operational data pipelines from edge to cloud & all points in between for data orchestration, solving problems such as remote asset management, data integration of OT and IT systems, & many other use cases
HarperDB is a tool in the Databases category of a tech stack.
Who uses HarperDB?
Docker, npm, Amazon S3, Kubernetes, and Grafana are some of the popular tools that integrate with HarperDB. Here's a list of all 7 tools that integrate with HarperDB.
Why developers like HarperDB?
Here’s a list of reasons why companies and developers use HarperDB
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- Edge to Cloud Availability
- Hybrid Cloud Capabilities
- Database as a Microservice
- Clustering and Replication, Fully-Indexed
- Dynamic Schema
- Small Footprint
- SQL Query Engine
- Full NoSQL Capabilities
- Built In API
HarperDB Alternatives & Comparisons
What are some alternatives to HarperDB?
See all alternatives
SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
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.