Appwrite vs ScyllaDB 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

Appwrite

0.0 (0 reviews)

Appwrite is an open-source backend-as-a-service platform that provides developers with integrated APIs for authentication, databases, file storage, and serverless functions to simplify building modern web and mobile applications.

Starting at Free
Free Trial NO FREE TRIAL
VS

ScyllaDB

0.0 (0 reviews)

ScyllaDB is a high-performance NoSQL database built for data-intensive applications that require ultra-low latency, high throughput, and horizontal scalability to handle massive workloads across distributed cloud environments.

Starting at Free
Free Trial 30 days

Quick Comparison

Feature Appwrite ScyllaDB
Website appwrite.io scylladb.com
Pricing Model Freemium Freemium
Starting Price Free Free
FREE Trial ✘ No free trial ✓ 30 days free trial
Free Plan ✓ Has free plan ✓ Has free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas on-premise cloud on-premise
Integrations GitHub GitLab DigitalOcean Stripe Twilio SendGrid Mailgun Discord Slack Docker Spark Kafka Presto Elasticsearch Grafana Prometheus Kubernetes Terraform
Target Users freelancer solopreneur small-business mid-market mid-market enterprise
Target Industries ad-tech gaming iot
Customer Count 0 0
Founded Year 2019 2012
Headquarters Tel Aviv, Israel Palo Alto, USA

Overview

A

Appwrite

Appwrite is an open-source backend platform that handles the complex server-side legwork so you can focus on building your app's front end. It provides a suite of integrated APIs for essential tasks like managing user authentication, storing documents in flexible databases, and handling file uploads. You can deploy it on your own infrastructure using Docker or use their managed cloud service to get started instantly without managing servers.

The platform is designed for developers building web, mobile, and Flutter applications who need a unified backend. It solves the problem of fragmented tools by offering a single console to manage your entire backend stack. Whether you are a solo developer launching a side project or a team scaling a production app, you can use its modular tools to add features like real-time subscriptions and serverless functions with minimal code.

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ScyllaDB

ScyllaDB provides you with a distributed NoSQL database designed for high-throughput and low-latency applications. It uses a shared-nothing architecture that scales linearly with your hardware, allowing you to handle millions of operations per second without the performance bottlenecks found in traditional systems. You can deploy it as a fully managed cloud service or manage it yourself on-premise while maintaining full compatibility with Cassandra and DynamoDB APIs.

You can eliminate the overhead of garbage collection and complex JVM tuning because the system is written in C++. This allows you to achieve predictable performance even under heavy loads, making it ideal for real-time analytics, ad tech, and IoT applications. Whether you are migrating from legacy NoSQL or building a new high-scale service, you get a database that maximizes your infrastructure efficiency and reduces your total cost of ownership.

Overview

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Appwrite Features

  • Authentication & Users Authenticate your users with multiple methods including email, OAuth providers, and passwordless logins while managing profiles securely.
  • Databases Store and query your data using a flexible document-based database with support for complex permissions and real-time updates.
  • Storage Upload, manage, and serve files with built-in capabilities for image cropping, preview generation, and encrypted file storage.
  • Serverless Functions Extend your backend logic by deploying custom code in various languages that trigger on specific database or user events.
  • Realtime API Subscribe to any event in your backend and receive instant updates in your application without constant polling.
  • Messaging Send push notifications, emails, and SMS messages to your users directly through the platform's integrated communication tools.
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ScyllaDB Features

  • Shared-Nothing Architecture. Scale your database linearly across multiple nodes and cores to handle massive traffic spikes without losing performance.
  • Cassandra & DynamoDB Compatibility. Migrate your existing applications easily using familiar APIs and drivers without rewriting your entire application code.
  • Autonomous Operations. Let the database handle complex tasks like compaction, repair, and caching automatically to reduce your manual maintenance effort.
  • Workload Prioritization. Run your real-time transactions and analytical queries on the same cluster without them interfering with each other's performance.
  • C++ Performance Engine. Eliminate unpredictable latency spikes caused by Java garbage collection for more consistent response times across your application.
  • Multi-Cloud Deployment. Deploy your clusters across AWS, GCP, or Azure to ensure high availability and avoid vendor lock-in for your data.

Pricing Comparison

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Appwrite Pricing

Starter
$0
  • Unlimited projects
  • 750MB database limit
  • 2GB storage
  • 10GB bandwidth
  • 7 days log retention
  • Community support
S

ScyllaDB Pricing

Free Tier
$0
  • One small cluster
  • Limited storage capacity
  • Community support
  • Basic monitoring tools
  • Standard backup options

Pros & Cons

M

Appwrite

Pros

  • Open-source nature allows for self-hosting flexibility
  • Clean and intuitive administrative console interface
  • Excellent documentation with clear code examples
  • Active community support and frequent feature updates

Cons

  • Smaller ecosystem compared to Firebase or AWS
  • Self-hosting requires Docker and server management knowledge
  • Some advanced features still in beta stages
A

ScyllaDB

Pros

  • Exceptional performance and ultra-low latency
  • Significant reduction in server footprint and costs
  • Seamless migration from Apache Cassandra
  • Excellent support for high-concurrency workloads
  • Predictable performance without JVM tuning

Cons

  • Steep learning curve for advanced configurations
  • Smaller community compared to older NoSQL databases
  • Limited documentation for very niche use cases
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