Petabytes
Historical Data
<10ms
Query Latency
Genesis
Full Archive
11
Global Redundancy
Who This Is For
OrbitFlare provides the data infrastructure that analytics teams, researchers, and compliance organizations need to extract insights from Solana at scale.- On-Chain Analytics — Platforms building dashboards, leaderboards, and market intelligence products from Solana data
- AI/ML Training — Teams that need large-scale historical blockchain data for model training and feature engineering
- Historical Research — Analysts studying protocol behavior, token flows, and network dynamics over time
- Compliance Teams — Organizations that require complete transaction audit trails and monitoring capabilities
Recommended Products
Historical Data
RecommendedFrom $500/mo
- Complete Solana history since genesis (March 2020)
- Sub-10ms P50 query latency
- Standard RPC methods for data retrieval
- Managed backfills for bulk historical ingestion
- Global redundancy across 11 regions
gRPC Streaming
Live DataFrom $500/mo
- Real-time transaction and account streaming
- Live dashboard and alerting pipelines
- Jetstream (low latency) and Yellowstone (complete data)
- Continuous data feeds for indexing
Dedicated Nodes
Bulk ProcessingFrom $2,500/mo
- Unlimited RPS and TPS
- 100% dedicated bare-metal hardware
- Optimized for high-throughput data extraction
- Custom configuration for analytics workloads
- Priority engineering support
Key Benefits
Petabyte-Scale Storage
Our archive infrastructure stores the complete Solana ledger history — every block, transaction, and account state change since March 2020.
Sub-10ms Queries
Historical queries return in under 10ms at P50. Fast enough for interactive dashboards and real-time analytics applications.
Global Redundancy
Data is replicated across 11 regions with automatic failover. Your analytics pipeline stays online regardless of regional disruptions.
Flexible Delivery
Access data via standard RPC methods, gRPC streaming, or bulk extraction on dedicated nodes — whichever fits your pipeline architecture.
Managed Backfills
Need to ingest years of historical data? Our team can provision managed backfill operations to seed your data warehouse efficiently.
No Credit Limits
Run heavy queries and extraction jobs without worrying about per-request costs. Predictable pricing that scales with your tier, not your query volume.
Performance Metrics
| Metric | Value |
|---|---|
| Historical Query Latency | < 10ms P50 |
| Archive Coverage | Genesis to present (March 2020+) |
| Global Regions | 11 |
| Uptime SLA | 99.99% |
| Max RPS (shared) | 600 |
| Max RPS (dedicated) | Unlimited |
For large-scale ingestion projects, we recommend pairing a dedicated node with managed backfills. Our engineering team can help design an extraction pipeline that matches your data warehouse architecture and throughput requirements.