gRPC Data Streams

gRPC Data Streams provide real-time blockchain delivery with very low latency and high throughput. Instead of polling RPC endpoints, your application keeps a persistent stream and receives blocks, transactions, account updates, and other events as they happen.

This approach removes unnecessary request loops, reduces infrastructure overhead, and helps your systems process current chain state without delay.

Built on HTTP/2 and Protocol Buffers, gRPC uses compact binary payloads and strongly typed schemas. It is designed for backend systems that need reliable, high-volume data ingestion at scale.

gRPC Pricing

What this page covers

This guide explains when gRPC streaming is the right choice for blockchain data pipelines and what to plan for in production.

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Looking for Solana gRPC?

Tatum provides Solana gRPC streaming for real-time access to blocks, transactions, and on-chain events with low latency and high throughput.

👉 Check Solana gRPC

Why Use gRPC for Blockchain Data

gRPC is purpose-built for high-performance, real-time systems. It is a strong fit when speed, efficiency, and consistency matter more than simple request/response ergonomics.

Key Benefits

• Real-time data delivery
  Receive updates continuously without polling intervals
• Low latency
  Process chain events as soon as they are produced
• High throughput
  Handle large stream volumes efficiently
• Reduced infrastructure cost
  Fewer requests and smaller payloads than polling-heavy architectures
• Strongly typed data
  Build against explicit Protocol Buffers schemas
• Bidirectional streaming
  Maintain stateful long-lived client/server communication

Common Use Cases

gRPC Data Streams are ideal for systems that rely on real-time blockchain insights:

• Trading platforms monitoring prices, liquidity, and liquidations
• Indexers building structured datasets from raw blockchain data
• Analytics platforms aggregating on-chain metrics in real time
• Wallet backends tracking balances and transaction activity
• DeFi protocols reacting to user interactions and contract events

Typical architecture

Most production setups follow this pattern:

1. Stream ingestion service connects to gRPC and consumes updates.
2. Durable queue or log buffers messages for reliability.
3. Workers parse and enrich events.
4. Storage and serving layer powers APIs, dashboards, and alerts.

This separation improves fault isolation and makes replay/recovery easier.

When to Choose gRPC

Choose gRPC when your service needs one or more of the following:

• Continuous ingestion of chain data without gaps
• Lower latency than periodic RPC polling can provide
• Efficient transport for high-volume events
• Typed schemas that fit backend service contracts
• Stream controls such as acknowledgments, keepalive, and backpressure handling

If your use case is mostly browser-based and event-filter oriented, WebSockets may be easier operationally once available.

gRPC vs RPC (Polling)

Traditional RPC APIs require constant polling to detect changes, which introduces latency and unnecessary load. gRPC streaming removes this limitation by pushing data directly to your application.

Operational Best Practices

For production-grade streaming systems, implement:

• Automatic reconnection with exponential backoff
• Cursor or checkpoint persistence to support safe restarts
• Idempotent downstream processing to handle duplicate deliveries
• Per-stream monitoring for lag, disconnect rates, and message throughput
• Backpressure-aware consumers to avoid memory growth under burst traffic

Common pitfalls

Avoid these implementation issues:

• Treating streams as exactly-once delivery without deduplication
• Skipping reconnect logic and assuming stable long-lived sessions
• Processing messages synchronously in one hot path without buffering
• Missing observability for lag and dropped connections

Next step

If you want to start with a concrete chain integration, use the Solana reference and runnable examples:

• Solana gRPC Reference