The startup offers an open-source platform that enables developers to process and index blockchain data efficiently, utilizing large-scale data science techniques for real-time state updates and irreversible transaction guarantees. This platform addresses the challenges of scalability and data accessibility in blockchain applications, allowing users to conduct searches and manage data streams effectively.
Funding
$3.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Accessing and processing historical blockchain data for indexing and analysis is challenging due to the limitations of traditional RPC APIs, which are often slow and inefficient. Existing methods struggle to keep pace with the rapid growth and complexity of blockchain networks, hindering the development of real-time applications and data-driven insights.
Solution
StreamingFast offers a suite of blockchain data streaming solutions designed for high-speed data extraction and transformation. The Firehose provides a blockchain data extraction layer that processes the full history of blockchains at unprecedented speeds using a files-based and streaming-first approach. Substreams, a blockchain-agnostic data transformation layer, enables developers to write Rust modules and build upon community modules for high-performance indexing and customizable data outputs. These tools allow for parallelized operations and composable data pipelines, enabling users to sink data to various destinations like PostgreSQL, MongoDB, Kafka, and more.
Target Audience
The primary audience includes blockchain developers, data analysts, and indexers who require high-performance, scalable solutions for accessing and processing blockchain data.
Features
- Firehose: Blockchain data extraction layer providing the full history of blockchains at high speeds.
- Substreams: Blockchain-agnostic data transformation layer enabling developers to write Rust modules.
- Parallelized operations: Large-scale cluster of parallel operations for orders of magnitude faster indexing.
- Composable modules: Stackable Substreams modules for building upon community modules and refining public data.
- Sink anywhere: Ability to sink data to various destinations including PostgreSQL, MongoDB, Kafka, subgraphs, and flat files.
- Streaming-first approach: Firehose nodes designed to push out block data with low latency and no polling.
- High Availability: Designed for high availability to prevent downtimes.
- Fork Handling: Firehose stream cursor designed to handle forks and continue where you left off in any condition.