Indexing Co vs Building In-House
The trade-offs between building custom blockchain indexing infrastructure and using Indexing Co's managed pipeline platform.
Building your own blockchain indexing infrastructure gives you maximum control. You choose your tech stack, own every line of code, and customize everything. The question is whether the months of engineering time and ongoing maintenance are worth it when a managed platform gives you the same flexibility.
What Building In-House Actually Means
A production-grade blockchain indexer requires:
- Node connections: RPC endpoints or dedicated nodes for each chain. Rate limiting, failover, load balancing.
- Block processing: Polling or streaming blocks, handling reorgs, managing confirmation depth, detecting missed blocks.
- Event decoding: ABI parsing, log decoding, transaction trace extraction. Different for every contract and every chain.
- Transformation: Business logic that turns raw events into your data model.
- Storage: Database schema design, migration management, write optimization for high-throughput inserts.
- Monitoring: Pipeline health, latency tracking, data completeness checks, alerting on gaps or failures.
- Multi-chain: Repeat steps 1-6 for every chain you need to support.
Teams that build in-house typically estimate 2-4 weeks and end up spending 3-6 months before reaching production readiness. Then maintenance begins.
Feature Comparison
| Indexing Co | In-House | |
|---|---|---|
| Time to production | Hours to days | Months |
| Ongoing maintenance | Managed | Your team |
| Multi-chain support | 100+ chains, single config | Each chain is a project |
| Reorg handling | Built-in | You build it |
| Backfill | Managed, parallelized | You build it |
| Monitoring | Built-in dashboard | You build it |
| Transform flexibility | TypeScript, full control | Whatever you choose |
| Data destination | PostgreSQL, BigQuery, webhooks | Whatever you build |
| Scaling | Managed | Your ops team |
| Cost | Pipeline subscription | Engineering salaries + infra |
Where In-House Hurts
The Reorg Problem
Chain reorganizations are the hardest part of building a reliable indexer. Your indexer processes block 1000, writes data, then the chain reorgs and block 1000 changes. Now you need to detect the reorg, roll back the affected data, and reprocess. Miss a reorg and your data is wrong -- silently.
Indexing Co handles reorgs at the platform level with configurable confirmation depth. Your pipeline code doesn't need to think about it.
Multi-Chain Multiplication
Adding a second chain doesn't double your work -- it often triples it. Different RPC behaviors, different block structures, different finality rules, different ABI conventions. Each chain brings its own edge cases.
With Indexing Co, adding a chain is a configuration change, not a project.
The Maintenance Tail
The initial build is the easy part. What follows is: - RPC endpoint failures and rate limit changes - Chain upgrades that change block structure - Database performance degradation as data grows - New contract deployments that need indexing - Schema migrations on terabytes of historical data - On-call rotations for pipeline failures
This maintenance tail typically consumes 0.5-1 FTE permanently.
When to Build In-House
Build in-house if you have unique requirements that no platform can satisfy, you have a dedicated data engineering team, and blockchain data infrastructure is a core competency (not just a dependency).
Use Indexing Co if blockchain data is a means to an end -- you need it for your product, but building and maintaining indexing infrastructure isn't your competitive advantage.
The Hybrid Approach
Some teams start with Indexing Co for speed, then evaluate whether to bring specific pipelines in-house as they scale. Indexing Co delivers to your database, so there's no lock-in. Your downstream code talks to your database, not to Indexing Co.
Get Started
Skip the months of infrastructure work. Set up your first pipeline in under 10 minutes.