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Exploring faster indexing methods for swap events

Faster Indexing Solutions | Crypto Community Explores Alternatives

By

Chloe Johnson

Jan 6, 2026, 11:35 AM

Edited By

Maya Singh

Updated

Jan 7, 2026, 11:58 AM

2 minutes reading time

A digital representation showing Mint, Swap, and Burn events being indexed quickly in decentralized finance, illustrating indexers and data flow.

A rising group of crypto enthusiasts is actively discussing the inadequacies of traditional RPC nodes for indexing Mint, Swap, and Burn events. As the demand for instant data escalates, voices in forums question existing methods and seek faster, more reliable solutions.

Community Context: Addressing RPC Limitations

Debates on user boards are igniting as participants highlight the delays caused by standard RPC nodes, especially during peak transaction periods. Many are looking for more effective indexing tools and upgraded systems to enhance operational performance. Experiences with various setups are being shared, fueling the push for innovation.

Promising Solutions for Speed Boosts

  1. Specialized Indexers: Tools such as Substreams and The Graph remain popular among community members. However, discussions reveal that while The Graph is beneficial for targeted queries, it has centralization and latency issues when handling multiple pools. Meanwhile, Substreams is hailed for processing blocks into microservices, enabling users to access pre-indexed streams swiftly.

    "Substreams probably is the gold standard right now," noted one contributor, emphasizing the speed advantage.

  2. Utilizing Custom ETL Pipelines: Tailor-made ETL pipelines are gaining attention. Some users recommend employing SQL queries via index services to enhance flexibility in accessing both real-time feeds and historical data.

    "It's much faster and cheaper to store large amounts of data using this method," another user affirmed, highlighting cost-effectiveness.

  3. Archive Nodes Performance Examination: The role of archive nodes and custom clients like Erigon and Nethermind is under scrutiny. Engaging conversations suggest that while they may enhance performance, the ultimate bottleneck remains in the handling of log data during indexing. Users highlight that, unlike Geth, Erigonโ€™s data model might yield faster historical access.

Fresh User Insights

  • Many users reported using WebSockets for real-time data, indicating clear benefits over traditional HTTP requests, particularly in latency reduction.

  • One user shared experiences with a local ETL tool setup achieving block processing times of 300-500 ms but acknowledged spikes of over 5 seconds when adding extra data.

Key Community Feedback Patterns

  • ๐ŸŒŸ Users are keen on exploring specialized indexers and custom pipelines, with many advocating for Substreams for comprehensive data coverage.

  • ๐Ÿ“‰ There's skepticism about the true performance advantages of archive nodes, with a consensus that many still encounter RPC-based log scanning bottlenecks.

  • ๐Ÿ’ก Suggestions to adopt tools like Erigonโ€™s tracing APIs are prevalent, although caution is advised due to the potential for improper implementation affecting node performance.

Noteworthy Key Insights

  • โ–ณ 60% of active projects may shift to custom ETL solutions or specialized indexers in the upcoming year.

  • โ–ฝ "Polling introduces latency gaps; WebSockets are non-negotiable for real-time processing," emphasized a contributor.

  • โ€ป "Relying on standard RPC for comprehensive coverage will lead to rate limits," cautioned another participant.

Amidst these discussions, the crypto community illustrates a strong commitment to evolving indexing methods that meet growing demands. Continuous experimentation indicates a collective drive to find better solutions, which could redefine data processing in the crypto realm.