Can I use The Graph for real-time data on Solana?

The Graph indexes data after block confirmation, so there's inherent latency (typically 5-30 seconds). For most dashboard and analytics applications, this is acceptable. For trading or time-sensitive applications, combine The Graph for historical queries with Helius Webhooks or Yellowstone gRPC for real-time data.

How do Helius Webhooks handle missed events if my server is down?

Helius implements retry logic for failed webhook deliveries. If your endpoint returns a non-200 response or times out, Helius will retry delivery several times with exponential backoff. However, if your server is down for an extended period, you may miss events. For critical applications, consider also running a gRPC stream as a backup.

Is Yellowstone gRPC worth the complexity for a small project?

For most small to medium projects, no. Helius Webhooks provide 90% of the real-time capabilities with 10% of the setup complexity. Yellowstone gRPC makes sense when you need sub-second latency, very high throughput, or complete control over data processing — typically for trading infrastructure, price feeds, or large-scale analytics.

How much does data indexing cost on Solana?

Costs vary widely. Helius Webhooks start with a free tier (limited events). The Graph has a free hosted service with limits. Yellowstone gRPC through Triton typically requires a paid plan. For a small application processing a few thousand events per day, expect $0-50/month. For high-throughput applications processing millions of events, costs range from $200-2000+/month depending on the provider and volume.

Best Solana Data Indexers: The Graph vs Helius Webhooks vs Yellowstone gRPC (2026)

Yellowstone gRPC (Triton)

Yellowstone gRPC, primarily provided by Triton, is a high-performance streaming protocol for Solana data. It's the closest thing to subscribing directly to the blockchain's data stream.

How It Works

Yellowstone connects to Solana validators via the Geyser plugin interface, which provides direct access to the validator's data as it processes transactions. Through gRPC (Google's Remote Procedure Call framework), you establish a persistent streaming connection and subscribe to:

Account updates: Any change to specified accounts
Transaction notifications: New transactions matching your filters
Slot updates: Block production notifications
Block metadata: Full block data including all transactions

The gRPC stream delivers raw data with minimal processing. You receive the data almost as fast as the validator processes it.

Strengths

Lowest latency: Data arrives within milliseconds of the validator processing it. This is the fastest way to receive Solana data outside of running your own validator.
Full data access: You receive complete transaction data, not just parsed summaries. This gives you full control over how you process and interpret events.
High throughput: gRPC handles millions of events per second. It won't bottleneck even if you're subscribing to high-activity programs.
Persistent connection: Unlike webhooks (which require your server to be reachable), gRPC is a client-initiated connection. Your application pulls data from the stream.
Flexible subscriptions: Subscribe to specific accounts, programs, or even specific instruction types within programs.

Limitations

Raw data: You receive raw, unparsed data. You're responsible for deserializing instruction data, resolving token metadata, and computing derived values. This requires deep Solana knowledge.
No historical data: Like webhooks, gRPC is a real-time stream. It delivers current events only. Historical data requires a separate solution.
Infrastructure complexity: Processing high-throughput gRPC streams requires robust infrastructure — message queues, database writes, error handling for disconnections.
Cost: Yellowstone gRPC access is typically available on Triton's paid plans. The infrastructure to run it reliably isn't cheap.
Learning curve: gRPC is less familiar to most web developers than REST or GraphQL.

Best For

Applications requiring the absolute lowest latency and highest throughput — trading bots, MEV searchers, real-time analytics, price feeds, and any system where milliseconds matter.

Why You Need a Data Indexer

The Solana JSON-RPC is designed for point queries — read this account, get this transaction, check this balance. It's not designed for:

Aggregate queries: "What were the top 10 tokens by volume on Raydium today?"

Historical lookups: "Show me all swaps this wallet made in January"

Real-time event streams: "Notify me whenever this wallet receives a token transfer"

Filtered subscriptions: "Stream all Jupiter swaps above $10K in real-time"

Building these capabilities on top of raw RPC calls means polling endpoints repeatedly, parsing raw instruction data, and maintaining your own database. Data indexers solve this by continuously processing blockchain data and making it queryable through higher-level APIs.

The Graph (Subgraphs)

The Graph is the most established blockchain data indexing protocol, originally built for Ethereum and now supporting Solana.

How It Works

The Graph uses subgraphs — custom indexing definitions that specify which on-chain events to track and how to store them. You write a subgraph manifest that defines:

Data sources: Which programs and accounts to monitor

Event handlers: Functions that process specific instruction types

Schema: A GraphQL schema defining how the indexed data is stored

Mappings: AssemblyScript code that transforms raw on-chain data into your schema

Once deployed, The Graph's infrastructure continuously processes new Solana slots, runs your handlers, and serves the indexed data through a GraphQL API.

Strengths

Custom schemas: You define exactly what data you want and how it's structured. This means your API returns precisely the shape your application needs.

GraphQL queries: The query interface is flexible and well-known. Frontend developers can fetch complex nested data in a single request.

Feature	The Graph	Helius Webhooks	Yellowstone gRPC
Architecture	Index & query	Push events	Stream data
Query interface	GraphQL	HTTP POST to you	gRPC stream
Latency	5-30 seconds	1-5 seconds	<1 second
Historical data	Yes	No (forward only)	No (forward only)
Data parsing	You write mappings	Pre-parsed by Helius	Raw (you parse)
Setup complexity	High	Low	Medium-High
Custom schemas	Yes	No	No (raw data)
Throughput	Medium	Medium	Very High
Best for	Analytics, dashboards	Notifications, alerts	Trading, real-time feeds