Bitquery vs Bloom

Overview

Bitquery Bitquery is a blockchain data infrastructure platform offering GraphQL and REST APIs for querying Solana transaction data, token trades, DEX activity, and wallet analytics. Its streaming API provides... Bloom Bloom is an AI-powered Solana trading bot that uses machine learning to assist traders with token analysis, trade execution, and portfolio management. It represents the newer generation of trading too...

Community Ratings

Bloom is rated higher by the MadeOnSol community with 4.2/5 stars across 5 reviews, compared to 0.0/5 for Bitquery (0 reviews). That said, ratings only tell part of the story — what matters most is which tool fits your specific workflow.

Pricing & Value

Bitquery uses a freemium model, while Bloom is freemium. Both offer free tiers with paid upgrades, so try each before committing to a paid plan.

Key Features

Bitquery offers 6 features including GraphQL API for flexible Solana data queries, Real-time streaming API for live transaction and trade data, DEX trade analytics across Raydium, Orca, Jupiter, and more, and 3 more. Bloom counters with 8 features including AI-powered token analysis with risk assessment and sentiment detection, Telegram-based trading with quick swap execution, Machine learning-assisted trade recommendations, and 5 more. The right choice depends on which specific features matter for your use case — check the individual review pages for full breakdowns.

Reliability & Health

We monitor both tools around the clock for uptime, SSL validity, and response times. Bitquery currently has a healthy health status with 100.0% uptime over the last 30 days. Bloom is rated healthy with 100.0% uptime. For any tool you trust with your funds, trades, or yield, uptime and speed are non-negotiable.

Strengths

Bitquery's key strengths include graphql flexibility lets you query exactly the solana data you need, real-time streaming is ideal for trading bots and alert systems, covers all major solana dexs for comprehensive trade analytics. Bloom stands out for ai analytics provide additional insight layer beyond basic trading features, comprehensive token analysis combines on-chain, social, and technical data, growing ai capabilities may improve over time as model training advances.