Product Overview
SonarX offers a suite of optimized tools tailored to address the challenges and specifics of various business problems. Our customers rely on SonarX for their mission-critical requirements, whether they involve analytical workloads that demand forensic-grade data quality or time-sensitive decisions that require low-latency, real-time data.Instant Data Shares – Ready-To-Query Data
Datasets are available via Data Shares on all cloud data platforms (SnowFlake, DataBricks, Big Query, RedShift), or via file transfer (CSV, Parquet, Iceberg).
Satellite – Data Intelligence & Forensics
An analytics platform that provides real-time insights and forensic analysis capabilities into digital assets, including chains, tokens, projects, and wallets.
APIs, Streams, Feeds – Push or Pull
Builders, Analysts, and Institutional customers need simple, fast, and reliable access to the highest quality on-chain data: quality and speed, no compromises.
SonarX Specialized Solutions
From Staking to DeFi, from Coins & Payments to RWAs & Tokenized Assets, from Proof-of-Reserve to Risk & Credit scoring.
Use Cases
All our use cases are based on real customers and the problems SonarX has solved for them. Contact us at https://www.sonarx.com/trial to see how SonarX can solve yours, too.Analytics
Query, visualize, and analyze blockchain data with SQL and AI, and integrate with BI tools.
Forensic
Build and scale analytical or real-time blockchain applications.
Accounting
Power transaction monitoring, data reconciliation, and financial reporting.
Investing & Trading
Power transaction monitoring, data reconciliation, and financial reporting.
Benefits
Comprehensive Coverage
Access full blockchain history from genesis to tip, across over 120 chains, for deep, comprehensive analysis.
Trusted Quality Controls
Automated checks ensure industry-leading data consistency and reliability across large datasets.
Flexible Delivery Options
Access data in various formats and across major cloud providers, tailored to your infrastructure.
Seamless Integration
Effortlessly query XXXL historical datasets using SQL with no need for additional storage.s