HarperDB vs. MongoDB

Game-Changing Throughput

Achieve more with orders of magnitude greater performance that drives down cost, latency, and complexity.

See Benchmark Report

Throughput Comparison – Drawn to Scale

A throughput comparison showing that HarperDB can handle 15 times the write volume and 82 times the read volume per node when compared to MongoDB.

Performance Gives Simplicity Room to Flourish

NoSQL Flexibility with the Power of SQL

Normalized data is faster to write, faster to read, and easier to maintain. HarperDB lets you efficiently join tables with billions of records with nearly no performance trade-off and all the benefits of a traditional RDMS.

Indexing By Default

Stop chasing pesky problems. HarperDB indexes all top-level attributes by default, giving you performant queries on day one and every day after.

Native HTTP/S API

HTTP/S calls are simple, atomic, and fast. Plus, since every application already uses them, there is no learning curve, decreasing time to market.

The Prison of Denormalized at Scale

The simplicity of denormalized data presents challenges at scale. Size on disk becomes overwhelming, searching and updating nested attributes becomes expensive, and joins require costly application-level logic.

Constant Index Maintenance

As performance lags, developers discuss, test, and update indexes, taking time away from building features that move your business forward.

Drivers are a Pain

Constant driver updates, saturated connections, and premature closes all make interacting with your data more complex than it needs to be.

An Entire Backend
In One

HarperDB unifies a high-performance database, user-built custom applications, and real-time global data replication into one technology. Unleashing efficiency MongoDB users could only dream of.

Database

Lightning-fast document store is simple to manage and can handle orders of magnitude more throughput than alternatives.

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Application

Give your applications, APIs, and machine learning models direct data access, reducing latency beyond what data distribution can achieve.

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Distribution

Place your data + application within milliseconds of every user to reduce latency and improve machine learning outcomes.

Only HarperDB Delivers

Applications

Create user-defined applications and deploy APIs, machine learning apps, and long-running processes without the need for additional servers or technologies.

Unified Experience

From IDE to CI/CD, HarperDB lets you use the tools and processes you already use without the baggage of setting up and maintaining multiple technologies.

Fewer Moving Parts

More stable, less expensive, and faster to deploy, keeping your team focused on building features not managing infrastructure.

M.I.A.

Using MongoDB means that months of development effort each year are dedicated to the setup, deployment, and management of additional technologies and infrastructure, skyrocketing the cost of delivering your application.

Designed to Distribute

Every node of HarperDB is ready to publish and subscribe to every other node of HarperDB out-of-the-box and without additional services.

Visual showing a globally distributed database

System Architecture Comparison

Architecture chart showing how simple distribution is with HarperDB's mesh network.

Architecture chart showing how complex distribution is with MongoDB

Globally Simple

Scale Forever

Horizontal scale makes the cost of growth predictable and unlimited while naturally providing an opportunity for geo-distribution and decreased latency.

Reliable & Fast

Read and write failover instantly absorbed by other nodes + global distribution in as little as 100ms.

Full Copy or Table Level

Tailor what is replicated and when without needing additional servers, streamlining use cases in edge A.I., alerting, and even as a data streaming alternative.

Limited

Write volume limited to a single vertically scaled central database driving up costs and limiting throughput at scale.

Vulnerable & Slow

Numerous points of failure as data moves along a prescribed path between operation-exclusive servers. Common for data to take minutes, even hours, to replicate and become available.

Full Copy Only

Inflexible, all-or-nothing approach stymies innovation and contributes to an ever-growing backlog of technical debt.

Additional Benefits of HarperDB

Query with SQL

Quickly look up values without the need to learn MongoDB’s proprietary query language, MQL. Plus migrate from SQL databases without needing to rewrite every query.

Everywhere

Nodes of HarperDB can connect and synchronize data across your system architecture from edge devices to the centralized cloud, saving you time, effort, and money as you innovate.

Save Millions

All of the reasons above make HarperDB significantly more cost-efficient compared to MongoDB. Often, large enterprises save millions per year by switching.