Subglow vs Helius: which Solana gRPC provider
should you choose?

Both providers speak the same protocol, and it is worth being precise about that because it is often reported incorrectly. Subglow uses Yellowstone gRPC (Dragon's Mouth), the open-source standard maintained by Triton One under the rpcpool/yellowstone-grpc repository. Yellowstone hooks into the validator through the Geyser interface and exposes transactions, account updates, slots, blocks, and entries over persistent gRPC connections using Protocol Buffers.

Helius LaserStream is also Yellowstone-compatible. Helius documents it as wire-compatible with the open Yellowstone protocol: the .proto definitions are the same, the SubscribeRequest fields are the same, and a client written against @triton-one/yellowstone-grpc or the yellowstone-grpc-client crate connects to it without code changes. Helius additionally offers its own SDK, which is optional and adds auto-reconnect, replay, and subscription management on top of the same wire format.

So protocol lock-in is not a real differentiator between these two products, and you should discount any comparison that claims otherwise. What LaserStream is really selling is operations: nine regional endpoints, roughly 24 hours of historical replay, automatic multi-node failover, and shred-level ingestion. Those are genuine capabilities that a single-region Yellowstone deployment does not have.

Because the wire format matches on both sides, moving in either direction is an endpoint and API-key change rather than a rewrite. That cuts both ways: it means you can try Subglow without committing, and it means you can leave. We would rather compete on price and payload than on the cost of escaping.

Where the two genuinely diverge is what sits inside the messages. LaserStream, like every standard Yellowstone deployment, delivers protobuf envelopes containing Borsh-encoded instruction data that your client has to decode. Subglow performs that decoding server-side, upstream of the Yellowstone layer, and delivers structured JSON. From your client's perspective Subglow looks like any other Yellowstone endpoint, except the stream is already filtered to your programs and already parsed.

Pricing is one of the starkest differences between Subglow and Helius, and it goes beyond the headline number. The fundamental models are different.

Helius: credit-based billing

Helius uses a credit system across all their plans. Each API call, webhook delivery, and streaming message consumes credits from your monthly allocation. When you exceed your credit allotment, you either hit rate limits, get throttled, or pay overage fees — depending on your plan level and configuration.

LaserStream mainnet requires a Business or Professional plan, with Business listed at $499/mo; devnet access is available on the cheaper Developer plan for testing. The exact credit allocation varies by plan, but the core model remains the same: usage is metered, and cost scales with volume. During high-activity market periods — exactly when your trading bot is most active and most profitable — your credit consumption spikes. This creates an inherent tension: the more you trade, the more you pay, and the less predictable your infrastructure costs become.

For teams running multiple bots across multiple programs, credit-based billing can make budgeting difficult. A sudden NFT mint, a memecoin frenzy on Pump.fun, or a liquidity event on Raydium can blow through your monthly credits in hours. You either provision for peak usage (and overpay during quiet periods) or provision for average usage (and risk throttling during the moments that matter most).

Subglow: flat monthly pricing, no credit metering

Subglow uses a flat monthly rate with no credit metering. You pick a plan, you pay one price, and you stream as much as you need within the plan's capabilities. There are no per-message credits, no overage charges, and no throttling based on consumption volume.

The pricing difference is significant. Subglow starts at $99/mo while Helius gRPC-tier plans start at approximately $499/mo. That's an 80% cost reduction at the entry level. Even Subglow's Pro plan at $249/mo — which includes zero rate limits, custom program filters, and full-speed delivery — is half the cost of Helius's gRPC starting tier.

More importantly, Subglow's flat pricing model means your costs stay the same whether you process 1 million transactions per day or 50 million. There are no surprises on your invoice. For trading teams that need to forecast infrastructure costs accurately, this predictability is a meaningful operational advantage.

Subglow is built for a specific class of Solana users: teams and individuals who consume real-time on-chain data through gRPC streaming and need the lowest possible execution latency with the least engineering overhead. Here's where Subglow has a clear advantage.

To understand why these differences matter in practice, it helps to look at what each provider is actually doing when a new transaction hits the Solana validator.

The standard Yellowstone pipeline

When a validator processes a new slot, the Geyser plugin captures every transaction, account update, and block notification. The Yellowstone plugin serializes this data into Protocol Buffer messages and makes it available over a gRPC stream. Clients subscribe with filters (transaction filters, account filters, slot filters) and receive a continuous stream of matching protobuf messages.

With a standard Yellowstone provider like QuickNode or Chainstack, what you receive is the raw Geyser output: a protobuf-encoded SubscribeUpdate message containing the full transaction with all instructions, inner instructions, account keys, and Borsh-encoded data blobs. Useful, but requires substantial client-side processing.

The Helius LaserStream pipeline

Helius runs a more elaborate ingestion tier than a single Yellowstone node. Rather than one validator feeding one stream, multiple nodes feed a regional aggregation layer with shred-level ingestion, and that layer serves the standard Yellowstone wire format outward across nine regions. On top of it they keep a replay buffer of roughly 216,000 slots, about 24 hours, so a client that reconnects can ask for the gap rather than losing it.

This is the strongest part of their product and it is worth being clear about: for durability, regional coverage, and recovery after a disconnect, that architecture beats a single-region deployment. What it does not do is change the payload. The instruction data inside those messages is still Borsh-encoded, because that is Solana's on-chain format rather than a provider choice, so the decode cost still lands on your client.

The Subglow pipeline

Subglow also runs its own data pipeline on top of the Geyser interface, but with a critical architectural decision: the output is served over the standard Yellowstone gRPC protocol. Subglow's infrastructure performs three transformations before data reaches the Yellowstone layer:

1. Server-side filtering — only transactions matching your configured programs pass through. Everything else is dropped before serialization, eliminating wasted bandwidth and client-side CPU.
2. Borsh decoding and instruction parsing — instruction data is deserialized using the correct IDL for each supported program. Discriminators are mapped, account indices are resolved, and nested structs are flattened into readable fields.
3. JSON structuring — the parsed data is serialized into a clean JSON payload with typed event names (buy, sell, swap, addLiquidity), human-readable field names, native token amounts (SOL instead of lamports), and resolved wallet addresses.

This processed data is then served over the standard Yellowstone gRPC protocol. Your client connects with @triton-one/yellowstone-grpc or yellowstone-grpc-client and receives SubscribeUpdate messages like any other Yellowstone endpoint — except the data payload inside those messages is pre-parsed JSON instead of raw protobuf with Borsh blobs.

This architecture gives Subglow the best of both worlds: the performance and data quality advantages of a custom pipeline, combined with the portability and ecosystem compatibility of the standard Yellowstone protocol.