Streaming On-Chain Trade Data | Best Architecture Options in 2026?
Edited By
Antoine Dubois
A growing number of teams are exploring real-time data pipelines to track decentralized exchange (DEX) trades across major EVM chains and Solana. They want trade data in ClickHouse almost instantly for dashboards, raising questions about the most effective architecture.
The Need for Speed
Sources indicate that some teams prefer using Kafka to power their ClickHouse data streams. However, a common inquiry among tech professionals is whether there are crypto-specific managed data feeds that can seamlessly deliver in protocols like protobuf or Avro.
Managed Solutions Pop Up
Several comments suggest that managed services provide a crucial edge. "Bitquery offers this out of the box; no need to run a node or an indexer," noted one commenter, indicating a shift towards easier managed options.
Another added, "Most production setups I've seen use Goldsky or Subsquid for the ingestion layer, both handle backfills natively and deliver in protobuf/avro."
Gap Recovery Challenges
Nevertheless, tackling backfill and gap recovery remains a pressing concern. "While Kafka into ClickHouse still works, solving gaps is up to you," a tech lead warned. This reveals ongoing complexity in managing multi-chain environments effectively.
Financial Insights
As teams ramp up their operations, financial aspects are increasingly crucial. One respondent shared, "Once you’re running multi-chain at volume, costs rise quickly. Finopsly helped us get ahead of that before it got weird."
Key Points to Consider
✅ Bitquery streamlines processes by eliminating the need for extra hardware.
📈 Goldsky and Subsquid offer efficient backfill management.
💰 Cost Management for multi-chain operations can escalate without proper planning.
Curiously, this evolution in architecture reflects a need for adaptability in the crypto space. As the demand for real-time trading data grows, so do the options for those willing to invest in efficient solutions.
What will the next wave of on-chain data solutions look like?
Forecasting the Trade Data Landscape
Looking ahead, the architecture for streaming on-chain trade data is likely to evolve rapidly. A significant chance exists that managed solutions like Bitquery, Goldsky, and Subsquid will dominate the market. Experts estimate around a 70% probability that these user-friendly platforms will outpace traditional setups due to their efficiency and ease of use. As firms focus on scalability and minimizing operational costs, it’s plausible they will increasingly adopt these innovative services to handle the complexities of multi-chain data integration effectively. The drive toward automation in data management will likely attract more developers, resulting in enhanced solutions and wider adoption.
Historical Echoes of Tech Evolution
A non-obvious parallel can be drawn to early days of cloud computing when many organizations hesitated to fully commit to managed services, fearing loss of control over their systems. As the financial benefits became clear and efficiency soared, businesses began embracing cloud solutions wholesale, reshaping their operations. Similarly, the current embrace of managed data architectures in the crypto space mirrors that transformative shift. Today’s developers, realizing the high costs of conventional methods, may find themselves sprinting toward managed options, much like those early cloud adopters, as they recognize the lasting impact of these advancements on their bottom line.