NebulaGraph
NebulaGraph is an open-source graph database designed to handle massive datasets with millisecond latency, providing a scalable solution for complex relationship mapping and real-time data analysis.
ScyllaDB
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.
Quick Comparison
| Feature | NebulaGraph | ScyllaDB |
|---|---|---|
| Website | nebula-graph.io | scylladb.com |
| Pricing Model | Freemium | Freemium |
| Starting Price | Free | Free |
| FREE Trial | ✓ 30 days free trial | ✓ 30 days free trial |
| Free Plan | ✓ Has free plan | ✓ Has free plan |
| Product Demo | ✓ Request demo here | ✓ Request demo here |
| Deployment | ||
| Integrations | ||
| Target Users | ||
| Target Industries | ||
| Customer Count | 0 | 0 |
| Founded Year | 2018 | 2012 |
| Headquarters | Hangzhou, China | Palo Alto, USA |
Overview
NebulaGraph
NebulaGraph is a distributed, open-source graph database built to handle super-large datasets with hundreds of billions of nodes and trillions of edges. You can store and query complex relationships at scale while maintaining millisecond-level latency, making it ideal for real-time applications. The architecture separates computing from storage, which allows you to scale your resources independently based on your specific workload requirements.
You can use NebulaGraph to power recommendation engines, detect fraud in real-time, or map out intricate social networks. It supports a SQL-like query language called nGQL, so your team can transition quickly without learning entirely new syntax. Whether you are managing identity graphs or performing deep-link analysis, this platform provides the high availability and fault tolerance needed for mission-critical enterprise environments.
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
NebulaGraph Features
- Distributed Architecture Scale your storage and computing resources independently to handle growing data volumes without performance bottlenecks.
- nGQL Query Language Write complex graph queries using a familiar SQL-like syntax that reduces the learning curve for your development team.
- High Availability Ensure your data remains accessible with a shared-nothing architecture that eliminates single points of failure.
- NebulaGraph Explorer Visualize your data connections through an intuitive web interface to discover hidden patterns and insights quickly.
- Role-Based Access Control Secure your sensitive information by managing user permissions and data access levels across your entire organization.
- Snapshot Isolation Maintain data consistency across distributed nodes so you can perform complex transactions with total confidence.
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
NebulaGraph Pricing
- Open-source core engine
- Distributed storage and computing
- nGQL query language support
- Basic backup and restore
- Community-based support
- Everything in Community, plus:
- Advanced security and auditing
- Performance diagnostic tools
- Full incremental backup
- 24/7 professional technical support
- Visual management console
ScyllaDB Pricing
- One small cluster
- Limited storage capacity
- Community support
- Basic monitoring tools
- Standard backup options
- Everything in Free, plus:
- Production-ready clusters
- 24/7 professional support
- Advanced security features
- Automated daily backups
- Multi-region replication
Pros & Cons
NebulaGraph
Pros
- Exceptional performance on multi-hop queries
- Highly scalable architecture for massive datasets
- Active open-source community for troubleshooting
- Flexible schema allows for easy data modeling
Cons
- Initial setup and configuration is complex
- Documentation can be difficult to navigate
- Steep learning curve for advanced tuning
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