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Software Status:Active

About HarperDB

HarperDB is a database management software/platform from HarperDB that supports data storage and retrieval. It combines structured and unstructured data management, real-time data processing, and a simplified API so developers can easily integrate and scale their applications. HarperDB also provides multi-cloud deployment options, ensuring flexibility and reliability in various computing environments. With features geared towards both SQL and NoSQL support, developers can use the best of both worlds. Key capabilities: Data storage Real-time processing API integration Multi-cloud support SQL/NoSQL compatibility Best for: Developers and organizations that need a versatile database solution for managing diverse data types and supporting complex applications.

HarperDB Details

Vendor
HarperDB
Year Launched
2017
Location
2420 17th St., Suite 270, Denver, CO, United States, Colorado
Deployment
cloud, on premise, windows, linux, ios, android
Training Options
documentation, videos, live online, in person
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Dutch, Portuguese, Russian, Chinese, Japanese, Korean, Arabic
Users
Data Analysts, Software Developers, HarperDB is used by:, Akamai, Lumen, AWS, Verizon, Edison Interactive, Equinix
Industries Served
Digital Commerce, Gaming, Streaming Media
Tags
Distributed Systems, High Throughput, Low Latency, Real-Time Data Processing, Horizontal Scaling, Cost Efficiency

HarperDB's In-App Market Place

Does HarperDB have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

NA

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($)

Pros & Cons

  • Great ease of use with flexible SQL & NoSQL support.
  • Simple control over deleting test entries.
  • Focus on developer experience with excellent customer/tech support.
  • 1 GB storage limit and only one instance allowed, which feels too restrictive.
  • Lack of explicit data type specification per column can lead to potential issues.
  • Initial integration with Flask can be confusing.

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