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Alternatives

datastore.sh vs every alternative

Updated November 2026

Short answer

The main alternatives to datastore.sh are Solana RPC providers, Dune, Bitquery, Allium, SonarX, Chainbase, Goldsky, Hyperliquid's own API and archives, and building in-house. datastore.sh is the option for decoded per-program Solana and Hyperliquid history as Parquet you keep. The alternatives win on live data, breadth across chains, or custom indexing.

Key facts

  • datastore.sh sells historical Solana and Hyperliquid data as partitioned Parquet files with manifests, checksums, and immutable schema versions, priced per dataset and coverage window.
  • datastore.sh publishes 60 Solana program datasets containing 1,177 typed tables, one table for each instruction or event a program defines.
  • The datastore.sh Hyperliquid dataset has 9 tables covering Jul 2025 to Jul 2026.
  • The datastore.sh catalog covers historical data on Solana and Hyperliquid. Live application data and other chains are outside its scope.

Anyone evaluating datastore.sh should know what else is on the table. This page puts every alternative in one place: what each one is, what you receive from it, what it is best at, and when datastore.sh fits better. Each alternative also has its own detailed comparison, linked from its card.

The comparisons describe product models rather than feature lists, and each vendor is described in terms of its own public pages, checked in November 2026. Where an alternative is the better choice, the page says so plainly.

Every alternative, one card each

01 · Solana RPC provider

Solana RPC providers

Best for:
Applications, bots, wallets, and address lookups
Pricing model:
Per request, credit, or compute unit, within plan rate limits

Choose it when

  • You need to send transactions or read current account balances. Only RPC does that.
  • You want parsed history for a known set of wallets, which address-history methods return directly.

Choose datastore.sh when

  • You need every swap, trade, or transfer of a program, not the history of one address.
  • A backfill would mean millions of transaction fetches against a rate limit.
Full comparison →

02 · Exchange-published data

Hyperliquid's API and S3 archives

Best for:
Live trading, recent lookups, and building your own archive
Pricing model:
Free API calls; S3 transfer billed to the requester

Choose it when

  • You are trading live and need current state, order books, and fills over WebSocket.
  • You only need recent history for a few addresses, within the API's caps.

Choose datastore.sh when

  • You need a wallet's fill history beyond its most recent 10,000 fills.
  • You want funding, fills, ledger updates, and validator activity as joinable tables, not raw archive objects.
Full comparison →

03 · SQL analytics platform

Dune

Best for:
Exploration, dashboards, and published analysis
Pricing model:
Plans and query credits, with Datashare as a separate product

Choose it when

  • You are exploring an open question and want to iterate in SQL without moving any data first.
  • You want to publish a dashboard, or start from the public queries other analysts have written.

Choose datastore.sh when

  • The same history gets read many times, which is the normal shape of a backtest or a training run.
  • A pipeline depends on a schema that must not change underneath it between quarters.
Full comparison →

04 · Data business sold to SonarX

Flipside Crypto

Best for:
Pricing model:
See the comparison

Choose it when

  • You hold a Flipside contract that SonarX now services, and continuity matters more than changing anything.
  • You want a hosted SQL environment again, with dashboards and shared queries. Dune is the closest like-for-like.

Choose datastore.sh when

  • Your Solana queries depended on Flipside models and you want the underlying data in your own storage.
  • You want a schema that cannot be revised by a vendor, a successor, or an acquirer.
Full comparison →

05 · Blockchain data APIs and bulk exports

Bitquery

Best for:
Cross-protocol views, live applications, multi-chain exports
Pricing model:
Fixed price per Data Store dataset

Choose it when

  • You need live data through subscriptions, Kafka, or gRPC, as well as history, from one vendor.
  • A normalized DEX trades table across many protocols and chains is exactly the shape you want.

Choose datastore.sh when

  • Your analysis depends on program-specific instruction arguments and accounts that a normalized table does not carry.
  • You need instructions that are not trades at all: token creations, migrations, fee claims, and admin changes.
Full comparison →

06 · Enterprise data platform

Allium

Best for:
A continuously managed multi-chain data platform
Pricing model:
Commercial agreement, scoped with sales

Choose it when

  • You need many chains under one managed agreement with a single vendor relationship.
  • You want historical datashares and real-time APIs from the same provider.

Choose datastore.sh when

  • Your scope is Solana or Hyperliquid and you want a table for every instruction and event a program defines.
  • You want to buy a specific archive this week without a procurement cycle.
Full comparison →

07 · Institutional blockchain data

SonarX

Best for:
Institutions that need many chains through several delivery methods
Pricing model:
Scoped with the vendor for institutional clients

Choose it when

  • You need many chains from one vendor, delivered the same way.
  • You want live Kafka streams and historical datashares under one agreement.

Choose datastore.sh when

  • You need every instruction and event a Solana program defines, not a cross-chain summary.
  • You want to buy one program's history this week without an institutional sales process.
Full comparison →

08 · Multi-chain data infrastructure

Chainbase

Best for:
Multi-chain application, analytics, and agent access
Pricing model:
See the comparison

Choose it when

  • You build across many chains and want one integration rather than several archives.
  • An AI agent needs live on-chain lookups at inference time through MCP.

Choose datastore.sh when

  • You are assembling a training or evaluation corpus that must not change between runs.
  • Solana or Hyperliquid is the scope, and you need decoded instructions rather than summaries.
Full comparison →

09 · Hosted indexing

Goldsky and hosted indexers

Best for:
Live, app-specific views of protocols you choose
Pricing model:
See the comparison

Choose it when

  • You need a protocol-specific view shaped precisely to your application.
  • Freshness is a product requirement, measured in seconds.

Choose datastore.sh when

  • You need history for analysis, not a live view for an application.
  • Nobody on the team wants to own decoders through the next program upgrade.
Full comparison →

10 · Your own pipeline

Building it in-house

Best for:
Coverage nobody sells, or data that cannot leave
Pricing model:
Infrastructure, storage, and salaries, indefinitely

Choose it when

  • The coverage you need is not available commercially on any terms.
  • Regulatory or security constraints prevent the data from being sourced externally.

Choose datastore.sh when

  • The datasets you need are already documented in a catalog you can inspect before buying.
  • Your engineers are more valuable working on analysis than on decoder upkeep.
Full comparison →

The master comparison table

One row per alternative. The second and third columns come from each detailed comparison, so this table and those pages always agree.

datastore.sh alternatives compared
AlternativeCategoryWhat you receiveBest fit
Solana RPC providersSolana RPC providerJSON responses per request: a transaction, a block, or an address's historyApplications, bots, wallets, and address lookups
Hyperliquid's API and S3 archivesExchange-published dataRequester-pays S3 objects and capped API responsesLive trading, recent lookups, and building your own archive
DuneSQL analytics platformQuery results, API responses, or a Datashare in your warehouseExploration, dashboards, and published analysis
Flipside CryptoData business sold to SonarXFormerly query access to curated models; contracts now serviced by SonarX
BitqueryBlockchain data APIs and bulk exportsAPI responses, streams, or Parquet exports of normalized tablesCross-protocol views, live applications, multi-chain exports
AlliumEnterprise data platformDatashares in your warehouse or bucket, plus APIs and streamsA continuously managed multi-chain data platform
SonarXInstitutional blockchain dataDatashares, Kafka topics, batch files, or API responsesInstitutions that need many chains through several delivery methods
ChainbaseMulti-chain data infrastructureAPI responses, SQL results, and agent tool calls across many chainsMulti-chain application, analytics, and agent access
Goldsky and hosted indexersHosted indexingRecords produced by indexing logic you defineLive, app-specific views of protocols you choose
Building it in-houseYour own pipelineWhatever your pipeline produces, on your own scheduleCoverage nobody sells, or data that cannot leave

Pick by requirement

If one requirement dominates, it usually decides the choice on its own.

Which alternative meets each requirement
RequirementOptions that meet it
Real-time dataRPC providers' gRPC streams, Bitquery, Allium, SonarX, Goldsky
Many chainsDune, Allium, SonarX, Bitquery, Chainbase, Goldsky
A table for every Solana program instruction and eventdatastore.sh
Hyperliquid history beyond the API's 10,000-fill capdatastore.sh, Allium, Dune (gated access)
Self-serve purchase at a fixed price per datasetdatastore.sh, Bitquery Data Store
Live on-chain lookups for AI agentsChainbase, through MCP
Coverage no vendor sellsBuilding in-house

What datastore.sh is, precisely

datastore.sh is a historical dataset vendor. Each Solana program is a dataset, each instruction or event it defines is a typed table, and decoders are pinned to program versions so a delivered table never changes. Hyperliquid is one dataset of 9 tables. Every dataset is priced the same way: $200 for the latest month, $500 for six months, $1,000 for twelve months, and $2,000 for full history. Each purchase includes:

  • Every table in the dataset: one purchase covers them all
  • Partitioned, versioned Parquet files for the selected window
  • Per-table manifests with schema, lineage, and checksums
  • Corrections republished as new versions for the purchased window

Where the alternatives win

These are the cases where an alternative is the right answer, not a close second.

  • Anything live: sending transactions, current balances, streaming trades.
  • Questions across many chains at once.
  • Interactive exploration and dashboards with nothing to download.
  • Custom indexing logic shaped to one application.
  • Coverage that is not sold anywhere.

Frequently asked questions

What are the best alternatives to datastore.sh?

The main alternatives to datastore.sh are Solana RPC providers, Dune, Bitquery, Allium, SonarX, Chainbase, Goldsky, Hyperliquid's own API and archives, and building in-house. datastore.sh is the option for decoded per-program Solana and Hyperliquid history as Parquet you keep. The alternatives win on live data, breadth across chains, or custom indexing.

Who are datastore.sh's closest competitors?

The closest in product shape are Bitquery's Data Store and SonarX's batch exports, which also sell Parquet files, and Allium and Dune, which deliver into warehouses. They differ from datastore.sh mainly in data model and breadth: normalized multi-chain tables versus a typed table for every Solana program instruction and event.

Is datastore.sh a Solana RPC provider?

No. datastore.sh is a historical dataset vendor rather than an RPC provider: its catalog sells decoded historical data as Parquet files. Most teams use an RPC provider for their application and datastore.sh for the history behind research, backtesting, and training.

Is datastore.sh built for real-time data?

The datastore.sh catalog is built for history: partitioned Parquet files for a purchased coverage window. Applications that react to live activity are better served by an RPC provider, a stream, or a hosted indexer, which combine cleanly with datastore.sh history.

Can I try datastore.sh before buying?

Yes. Every dataset page documents its tables, typed columns, and coverage, and free 100-row samples are available where shown. Engineers can validate schemas and integration against a sample before any purchase.

Sources

Vendor descriptions follow each vendor's own public pages, checked November 2026. Other vendors' prices are not quoted because they change without notice. Product names indicate neither partnership nor endorsement.

Related reading

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