Self-built nodes crash for 3 days? How does Chainbase make the pain of the data layer 'disappear'?
After a year of development with a Web3 team, the most painful part is the data layer: while working on wallet tools, our self-built Ethereum node crashed for 3 days and adapting to Solana delayed progress by another 2 weeks — until we integrated @Chainbase Official , all this pain disappeared.
It is truly a lifesaver for developers: checking transaction history reduced from dozens of lines of code to 3 lines, multi-chain prices went from connecting 5 sources to just managing 1 backend. Last time, the development cycle for an NFT tool was compressed from 2 months to 25 days; our small team could finally focus on the product instead of operations.
But a downtime made me anxious: last month, during Chainbase node maintenance, we couldn't retrieve Polygon data for our wallet, and user complaints surged by 3 times. The team had to rush in the early hours — only to discover that the 'lifeline of data' had already been outsourced, and the Web3 shortcut turned into an 'invisible lockchain'.
The ecological bundling is even more tangled: the newly developed DeFi tools rely entirely on it for data, and even 3 peers have given up on building their own data layers. Everyone depends on Chainbase's data layer, which has become a 'single point of risk'; if it adjusts fees or limits access, small and medium teams have no ability to resist.
Now, the selection process keeps jumping between 'efficiency' and 'risk': without it, we can't compete with rivals, but using it feels like putting all eggs in one basket. @Chainbase Official is currently the optimal solution, but we must leave a 'backdoor' — shortcuts can get us started, but independence is necessary for long-term success.
