
Infura
QuikNode.io
GetBlock.io
Pocket Network
Chainnodes.org
Kaleido Blockchain Business Cloud
ANKR
Automates blockchain (Ethereum included) deployment at a much lower price point than Infura, and without native storage.
Text2SQL.AI
AI2sql
TTSQL
Vanna AI
AskYourDatabase
EXASOL
Lila
Generate SQL queries using text

Which is more popular?
Based on our record, Chainstack seems to be more popular. It has been mentioned 17 times since March 2021.
Website, pricing, platforms and company facts side by side.
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TSQ
Txt2SQL
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| Website | chainstack.com | txt2sql.com |
| Pricing | ||
| Company | — | 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of Chainstack yet.
Text2SQL generates optimized SQL queries based on plain text and custom database schema
What each product offers, as listed by its team.

Possible disadvantages
Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.

Share your experience with using Chainstack and Txt2SQL. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Looked into using a node provider? For example, Chainstack deploys full eth nodes (with 0 ratelimiting), which may fit your use-case here. Source: over 3 years ago
DevRel from Chainstack here, appreciate the shoutout! And you can actually directly access the Covalent API (which I'm also a huge fan of btw) on the Chainstack dashboard. So within the same platform, you can get nodes, IPFS, subgraphs,... Source: over 3 years ago
If you're looking for a new infra platform, feel free to check it out! Source: over 3 years ago
Tracking Txt2SQL since Feb 2024.
When comparing Chainstack and Txt2SQL, you can also consider the following products.




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GetBlock provides developers with instant connection to full nodes of 40+ blockchains. Get access to BTC, ETH, BSC & other networks via API.
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TTSQL turns text to SQL, natural language to SQL, and text to query prompts into secure SQL across major databases.
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