Dgraph vs Quickbase Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated Apr 2026 8 min read

Dgraph

0.0 (0 reviews)

Dgraph is a native GraphQL database built for high-performance applications that require a scalable, distributed backend to handle complex data relationships and real-time queries efficiently.

Starting at Free
Free Trial NO FREE TRIAL
VS

Quickbase

0.0 (0 reviews)

Quickbase is a dynamic no-code application development platform that enables you to create custom business applications and automate complex workflows to improve operational efficiency across your entire organization.

Starting at $35/mo
Free Trial 30 days

Quick Comparison

Feature Dgraph Quickbase
Website dgraph.io quickbase.com
Pricing Model Freemium Subscription
Starting Price Free $35/month
FREE Trial ✘ No free trial ✓ 30 days free trial
Free Plan ✓ Has free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment cloud on-premise cloud mobile
Integrations GitHub GitLab Docker Kubernetes Apollo GraphQL React Next.js Auth0 Salesforce Slack Microsoft Teams Box Dropbox Google Drive NetSuite Zendesk QuickBooks Tableau
Target Users small-business mid-market enterprise mid-market enterprise
Target Industries construction manufacturing healthcare
Customer Count 0 0
Founded Year 2016 1999
Headquarters Palo Alto, USA Boston, USA

Overview

D

Dgraph

Dgraph is a native GraphQL database designed to help you build applications with complex data patterns without the overhead of traditional relational mapping. You can store your data as a graph and query it using standard GraphQL or Dgraph's own query language, DQL. This approach eliminates the need for complex joins and allows you to fetch deeply nested data in a single network request, significantly reducing latency for your end users.

You can deploy Dgraph as a managed cloud service or run it on your own infrastructure using Docker or Kubernetes. It is built to scale horizontally, meaning you can handle growing traffic and data volumes by simply adding more nodes to your cluster. Whether you are building a social network, a recommendation engine, or a real-time fraud detection system, Dgraph provides the ACID-compliant reliability and speed you need to manage interconnected data at scale.

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Quickbase

Quickbase gives you the power to build custom business applications without writing a single line of code. You can transform fragmented data into centralized, actionable insights by creating tailored solutions for project management, resource tracking, and supply chain operations. It acts as a flexible foundation where you can connect disparate systems and automate manual processes that usually slow your team down.

You can manage complex portfolios and high-stakes projects with real-time visibility into every moving part. Whether you are in construction, manufacturing, or healthcare, the platform adapts to your specific operational needs rather than forcing you into a rigid template. It scales with your business, allowing you to start with one simple app and expand into a fully integrated ecosystem that supports thousands of users across your enterprise.

Overview

D

Dgraph Features

  • Native GraphQL Build your backend instantly by providing a GraphQL schema—Dgraph automatically generates the database and API for you.
  • Distributed Architecture Scale your database horizontally across multiple nodes to handle massive datasets and high-traffic applications with ease.
  • ACID Transactions Ensure your data remains consistent and reliable with fully distributed ACID transactions across all your database shards.
  • Full-Text Search Implement powerful search capabilities directly in your queries, including term matching, regular expressions, and multi-language support.
  • Geo-Location Queries Store geographical data and perform complex spatial queries like finding points within a specific radius or polygon.
  • Automated Sharding Let the system handle data distribution automatically, rebalancing your data across the cluster to prevent performance bottlenecks.
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Quickbase Features

  • Visual App Builder. Create custom business applications using a drag-and-drop interface that requires zero coding knowledge or technical expertise.
  • Automated Workflows. Set up triggers and actions to automate repetitive tasks and move data between your apps and external systems.
  • Centralized Dashboards. Build real-time reports and dashboards that give you a high-level view of project health and resource allocation.
  • Role-Based Permissions. Control exactly who can see and edit data with granular security settings tailored to your team's hierarchy.
  • Mobile Access. Access your custom applications and update data from the field using native mobile apps for iOS and Android.
  • Data Integration. Connect your existing tools like Salesforce, NetSuite, and Slack to keep all your business information in sync.

Pricing Comparison

D

Dgraph Pricing

Cloud Free
$0
  • Shared cluster deployment
  • 1MB/sec data transfer
  • 1 million credits per month
  • Community support
  • Automatic backups
Q

Quickbase Pricing

Team
$35
  • Minimum 20 users
  • Up to 50 customizable apps
  • Workflow automation engine
  • Mobile application access
  • Standard data connectors
  • Role-based security

Pros & Cons

M

Dgraph

Pros

  • Simplifies backend development with native GraphQL support
  • Handles deeply nested data relationships extremely fast
  • Scales horizontally to support massive data growth
  • Open-source core allows for flexible deployment options

Cons

  • Learning curve for DQL advanced query features
  • Documentation can be sparse for complex edge cases
  • Managed cloud pricing can scale quickly with usage
A

Quickbase

Pros

  • Highly flexible for building unique business processes
  • Fast deployment of apps compared to traditional coding
  • Excellent for centralizing data from multiple sources
  • Strong community and extensive documentation available
  • Reliable performance even with large datasets

Cons

  • Steep learning curve for complex formula fields
  • User interface feels dated compared to newer tools
  • Pricing can be high for very small teams
  • Mobile app customization is somewhat limited
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