Comparison
datastore.sh vs Allium
Enterprise data platform · reviewed September 2026
Short answer
Allium delivers enterprise blockchain data into customer warehouses and pipelines under commercial contracts, covering many chains. datastore.sh sells Solana and Hyperliquid datasets as plain Parquet, priced per dataset and coverage window, with no enterprise motion required. Allium suits broad managed coverage. datastore.sh suits narrow, deep, self-serve archives.
What Allium is
Allium is the category closest to file delivery. It supplies blockchain data as a managed product, delivered into the customer's own warehouse and pipelines, across a broad set of chains, under commercial terms.
datastore.sh is narrower by design. Two networks, instruction-level Solana decoding, published as partitioned Parquet that can be bought per dataset and per window. Enterprise terms exist where they are needed, but they are not the entry point.
How the two products differ
The comparison is between product models rather than feature lists. Prices, rate limits, and chain counts change without notice, so none are quoted here.
| Dimension | datastore.sh | Allium |
|---|---|---|
| What you receive | Partitioned Parquet files with typed schemas, manifests, and checksums | Managed tables and feeds delivered into your warehouse |
| Buying process | Self-serve per dataset and coverage window | Commercial contract, scoped with sales |
| Chain coverage | Solana and Hyperliquid, decoded deeply | Broad multi-chain coverage |
| Format | Open Parquet, readable by any engine | Warehouse-native tables and feeds |
| Ongoing cost | None after delivery, unless you extend coverage | Subscription for as long as the feed runs |
| If the contract ends | Delivered files remain yours | Feeds stop, so retention depends on what you materialized |
| Minimum commitment | One dataset, one window | Enterprise agreement |
| Best fit | A defined archive for a defined workload | A continuously managed multi-chain feed |
When Allium is the better choice
- You need many chains under one managed agreement with a single vendor relationship.
- Continuously refreshed tables inside a warehouse matter more than owning static archives.
- Procurement prefers one enterprise contract to several per-dataset purchases.
When datastore.sh is the better choice
- Your scope is Solana or Hyperliquid and you want instruction-level depth on it.
- You want to buy a specific archive this week without a procurement cycle.
- Open Parquet in your own bucket is a requirement, not a preference.
- You want the data to remain usable after the commercial relationship ends.
Using both together
A broad managed feed and a deep per-program archive answer different questions. Teams that run a multi-chain feed still buy focused Solana history when a research or training workload needs instruction-level detail the feed does not carry.
Frequently asked questions
What is the difference between datastore.sh and Allium?
Allium delivers enterprise blockchain data into customer warehouses and pipelines under commercial contracts, covering many chains. datastore.sh sells Solana and Hyperliquid datasets as plain Parquet, priced per dataset and coverage window, with no enterprise motion required. Allium suits broad managed coverage. datastore.sh suits narrow, deep, self-serve archives.
Does datastore.sh offer enterprise terms?
Yes. Custom scopes, private delivery into storage you control, and enterprise agreements are available, and the enterprise page documents what they cover. The difference is that an agreement is not required to start: a single dataset and coverage window can be purchased directly.
Which is better for a data warehouse?
Both land in a warehouse, by different routes. A managed feed keeps tables continuously refreshed under contract. Parquet delivery gives you files to load once and keep, which suits fixed historical ranges and environments where data must not be re-fetched from outside. Teams with both use the feed for recency and the files for history.
Start with the data
Skip the indexing project. Run the query.
Browse documented datasets or send the exact protocol, tables, and historical coverage your team needs.