Subgraphs provide a highly curated source of data that can be used for historical data analytics compared to archive nodes. While historically used primarily to power frontend dashboards with recent data, subgraphs are similar to archive nodes because they contain all historical data for a protocols set of contracts.

Historical blockchain data poses challenges for analysis. Despite its general accessibility, obtaining and analyzing such data has been historically hindered by paywalls and restrictions imposed by node service providers. Setting up a personal archive node is also a non-trivial task, introducing extra steps before data analysis becomes feasible.

"A strategy implementing atomic, cross-market NFT arbitrage between Seaport and Sudoswap. At a high level, we listen to a stream of new seaport orders, and compute whether we can atomically fulfill the order and sell the NFT into a sudoswap pool while making a profit."

DataStreams a Subgraph query utility package that allows users to execute complex Subgraph queries. It provides extended functionality on top of The Graph data access python package Subgrounds. The main benefit is that now anyone can query Subgraph data, save it to their local storage as csv files, and perform data analytics immediately. DataStreams creates a reproducible data pipeline creation process in a transparent, lightweight manner. No database needed!