Ponder Alternative: Goldsky Subgraphs
Managed platform or open-source framework? A look at the trade-offs between Ponder and Goldsky to help you find the best fit for your project.
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Goldsky vs Ponder: the verdict
Important update: In February 2026, the Monad Foundation acquired the Ponder team. They will continue maintaining Ponder while contributing to Monad’s infrastructure.[4]
Ponder is an open-source, TypeScript-first indexing framework. You can fully control your indexing logic, run your own queryable PostgreSQL database, and manage all the infrastructure yourself.
Goldsky is a fully managed blockchain data platform. It includes indexers (subgraphs and streaming pipelines), RPC services, and onchain automation products.
The closest comparison is between Ponder’s indexing framework and Goldsky Subgraphs. Goldsky’s streaming product (Turbo), Edge RPC, and Compose have no Ponder equivalent.
Ponder
Why Ponder may be ideal for you:
- Fully open-source
- Full control over indexing logic
- TypeScript end-to-end
Why Ponder may not be ideal:
- You manage all infrastructure, monitoring, and scaling
- No official customer support
- Only EVM chains and PostgreSQL supported out of the box
Choose Ponder if you value open-source, want full control over indexing logic, and have engineering resources to build and maintain your own infrastructure.
Goldsky
Why Goldsky may be ideal for you:
Why Goldsky may not be ideal:
- No local development workflow with hot reload
- Closed source: can’t inspect or modify the indexing engine
- Less control over indexing logic than a TypeScript-native framework
Choose Goldsky if you want managed infrastructure with integrated streaming, and don’t need a local development loop or full TypeScript control over indexing logic.
Quick comparison
| Feature | Ponder | Goldsky |
|---|---|---|
| Platform | ||
| Model | Self-hosted[3] | Fully managed |
| Platform scope | Indexing only | Indexing, streaming, Edge RPC, Compose (onchain automation) |
| Chains | EVM-compatible chains (configured by you)[1] | 150+ EVM and non-EVM chains (including Solana, Stellar)[8] |
| Operations | ||
| Infrastructure responsibility | You manage: Node.js, PostgreSQL, RPC endpoints, deployment, scaling | Goldsky manages everything |
| Database support | PostgreSQL[1] | PostgreSQL, ClickHouse, MySQL, Kafka, S3, and more[9] |
| Managed hosting | No[3] | Yes, optional |
| Developer experience | ||
| Indexing speed | Depends on your hardware, RPC endpoints, and tuning | Sub-second latency. Tuned infrastructure[14] |
| Subgraph compatibility | Own schema model. Generates compatible GraphQL APIs | 100% Graph Protocol spec-compatible[10] |
| Local development | Full local dev with hot reload and type safety | No local indexer. Develop via CLI → deployed service |
| Time to production | Fast local iteration, but production deploy is on you | Deploy via CLI in minutes. No infra to provision |
| Support & cost | ||
| Reliability / SLA | Depends on your ops team and infrastructure | Managed uptime with built-in monitoring and alerts |
| Support | Community support | Dedicated team. Slack, email, enterprise SLAs |
| Pricing | Free (OSS). You pay for infra (servers, DB, RPC) | Free tier + usage-based pricing[11] |
| Best for | Developers wanting full control + TypeScript-native DX | Teams wanting zero-ops + multi-sink streaming |
What’s similar?
Ponder and Goldsky are both designed to help you build and operate blockchain data infrastructure. Both provide tools for indexing and streaming data, and both support GraphQL APIs.
Ponder is an open-source, indexing-only framework. Goldsky is a fully managed indexing and streaming platform with complementary products like a multi-region RPC and onchain automation.
Philosophy
Ponder and Goldsky approach blockchain data from different starting points.
Infrastructure and DevOps overhead
The operational surface area of each tool differs sharply. This is the core "managed vs. self-hosted" trade-off. With open-source tools like Ponder, you’re responsible for everything. With managed platforms like Goldsky, there’s less to manage.
| 1 | Node.js runtime |
| 2 | PostgreSQL database provisioning, tuning, and maintenance |
| 3 | RPC endpoints |
| 4 | Deployment infrastructure |
| 5 | Scaling |
| 6 | Monitoring and alerting |
| 7 | Reorg handling & recovery |
| 1 | Subgraph/pipeline definitions |
| 2 | Destination database. Managed hosting available if streaming |
For a small team with 1-2 engineers and no dedicated DevOps, running Ponder in production adds a real infrastructure burden. For a team with strong infrastructure experience, the self-hosted model can offer cost efficiency and complete control. Goldsky is responsible for everything else: node infrastructure, indexing compute, reorg handling, scaling, and monitoring.
Developer experience
This is Ponder’s standout strength. End-to-end TypeScript with full type safety, hot reload, and a local-first development loop that feels like building a regular Node.js app.[2]
Our Subgraph developer experience optimizes for speed to production: zero local setup and Instant Subgraphs from an ABI.
| Feature | Ponder | Goldsky Subgraphs |
|---|---|---|
| Setup | CLI + set up infra stack | CLI (everything else managed) |
| Local development | Hot reload, type-safe, local-first | No |
| Debugging | Local debugger, breakpoints, full stack traces | Deployment logs, handler metrics, alerts |
| Testing | Standard test runners against local instance | Deploy to staging environment via CLI |
| One-click deploy | Yes | Yes |
Streaming and data destinations
Ponder isn’t a streaming product. Your data lands in the PostgreSQL instance you own and you operate. You query it via the generated GraphQL API. If you need to stream data to Snowflake, BigQuery, Kafka, or other systems, you build your own pipelines from Postgres. This means CDC, custom ETL, or similar work.
Goldsky Turbo streams directly into 11 managed sinks out of the box: PostgreSQL, ClickHouse, MySQL, Kafka, S3, and more.[9] Pipelines support dynamic tables and SQL/TypeScript/HTTP transforms. These support cross-chain aggregation, joining onchain with offchain data, and complex routing logic.
| Feature | Ponder | Goldsky |
|---|---|---|
| Database sinks | PostgreSQL | PostgreSQL, ClickHouse, MySQL, Kafka, S3, and more[9] |
| Additional sinks | Build your own pipelines from Postgres (CDC, custom ETL) | Request if not already supported |
| Transforms | In your indexing logic with TypeScript | TypeScript, SQL, and HTTP handlers |
| Real-time streaming | No native streaming | Yes |
| Delivery guarantees | You handle retries and failure recovery | Managed delivery, retries, and scaling |
| Data ownership | Full | Full (when using your own sinks instead of managed hosting) |
With Ponder, you run your own PostgreSQL database, so "data in your own database" comes by default. With Goldsky, reaching that requires Turbo pipelines, but those pipelines support far more destination types and handle delivery, retries, and scaling automatically.
GraphQL and subgraphs
This is where Ponder and Goldsky overlap most directly. Both index blockchain events and expose the data via a GraphQL API. The difference is how you get there and who runs it.
Ponder indexes events into PostgreSQL and serves a GraphQL API. Goldsky Subgraphs are directly queryable via a GraphQL API, or you can stream data to your own database via Turbo for custom transformations and filters.
| Feature | Ponder | Goldsky |
|---|---|---|
| Schema model | Own schema format (TypeScript-defined) | 100% Graph Protocol spec-compatible[10] |
| GraphQL API | Auto-generated from your schema | Managed, spec-compatible GraphQL endpoint |
| Hosting | Self-hosted (you run the server) | Fully managed by Goldsky |
| Data storage | Your PostgreSQL instance | Goldsky-managed, or stream to your own DB via Turbo |
| Query performance | Depends on your Postgres tuning and hardware | Optimized managed infrastructure |
| Migration from The Graph | Re-implementation required (different schema) | One-line CLI migration |
Beyond indexing
Ponder is an indexing framework. It indexes events into PostgreSQL and serves a GraphQL API. If you need data elsewhere, you build your own pipelines from Postgres.
Goldsky extends beyond indexing into streaming, RPC, and onchain automation. These are not comparison points. They are additional capabilities:
- Turbo streams data in real time to 11 managed destinations (ClickHouse, MySQL, Kafka, S3, and more) with managed delivery, retries, and scaling[9]
- Edge RPC provides low-latency, multi-region read access
- Boost automatically optimizes your existing RPC endpoints, such as the one a Ponder indexer calls, without changing providers. It lowers your billable RPC calls.[16]
- Compose enables onchain automation
Teams that need a unified data platform instead of a standalone indexer get more from Goldsky’s wider scope.
Chain support
Goldsky supports 150+ chains including Solana, Stellar, and NEAR alongside EVM networks.[8] Ponder supports any EVM-compatible chain you can configure an RPC endpoint for.[1]
With the Monad acquisition, Ponder is likely to develop optimized support for Monad. This could appeal to Monad-specific teams.
Pricing
- At small scale, Ponder can run a simple indexer for about $5/mo. That comes from a Railway Hobby plan,[5] free Neon PostgreSQL,[6] and a free Alchemy[7] or Edge RPC tier. That excludes engineering time and production-grade Postgres. Goldsky Starter is also free with a one-time $100 credit.[11]
- At production scale, infrastructure costs plus engineering time for operations can exceed Goldsky’s managed pricing. The crossover point depends on your team’s infrastructure proficiency and the complexity of your workload.
| Feature | Ponder | Goldsky |
|---|---|---|
| License | Free forever | Free tiers + usage-based pay-as-you-go plans |
| Servers / hosting | ~$5-50/mo (you manage)[5] | Included |
| Database | ~$5-50/mo (you manage)[6] | Included |
| RPC endpoints | $0-500+/mo (you manage)[7] | Included |
| Engineering time | Ongoing DevOps investment | None |
| Total estimated cost | From about $5/mo (Railway Hobby) for a simple indexer, plus production Postgres and RPC costs[5][6][7] | ~$36.50/mo per running subgraph ($0.05/hr), plus entity storage[11] |
Can you use Ponder and Goldsky together?
Yes, you can use Ponder and Goldsky together. Many teams prototype with one tool and deploy with another. The mental models are similar even if the APIs differ. Goldsky’s Instant Subgraphs can index the same contracts from an ABI as Ponder,[15] and Turbo can process the same events with TypeScript transforms.
Looking for a Ponder alternative?
The Monad Foundation acquired the Ponder team in February 2026, and the team now builds data tooling for Monad.[4] This shifts the project’s trajectory in a few ways worth considering:
- The team will continue to maintain Ponder as open source.[4]
- Development focus may increasingly prioritize Monad’s infrastructure.
- Expect deeper Monad integration over time. This could benefit Monad builders.
If you index other chains, or want indexing you don’t host yourself, Goldsky is the managed alternative:
When to choose Goldsky, and when to choose Ponder
If open-source is a must, choose Ponder. Otherwise, compare the two options below.
Choose Ponder if:
- Full infrastructure control is non-negotiable
- TypeScript-native DX is a priority
- You’re building on Monad
- Your team has strong DevOps capacity
- Cost optimization matters at small scale
Choose Goldsky if:
- You want managed infrastructure without DevOps overhead
- You need data in databases beyond PostgreSQL (ClickHouse, MySQL, Kafka, S3, etc.)
- Non-EVM chains like Solana are part of your stack
- You want subgraphs, streaming, and RPC from one platform
- Your team prioritizes speed to production over local dev workflow
Frequently asked questions
What is Ponder?
Ponder is an open-source, TypeScript-first indexing framework for blockchain data. You define your indexing logic in TypeScript, run it against your own PostgreSQL database, and manage the infrastructure yourself. It offers full type safety, hot reload during development, and a local-first workflow. In February 2026, the Monad Foundation acquired the Ponder team.[4]
What is Goldsky?
Goldsky is a fully managed blockchain data platform. It combines Graph Protocol-compatible subgraphs with real-time streaming pipelines (Turbo), Edge RPC, and Compose for onchain automation. It supports 150+ chains,[8] streams to 11 managed destinations (PostgreSQL, ClickHouse, MySQL, Kafka, S3, and more),[9] and requires no infrastructure management.
Can I migrate from Ponder to Goldsky?
Not directly. The schema formats differ. But Goldsky’s Instant Subgraphs can index the same contracts from an ABI,[15] and Turbo can process the same events with TypeScript transforms. The migration is a re-implementation, not a port.
Is Ponder still maintained after the Monad acquisition?
The Monad Foundation stated they will continue maintaining Ponder as open-source.[4] That said, development priorities may increasingly align with Monad’s ecosystem needs over time.
Which is faster for indexing?
Ponder reports 10-15x faster indexing than Graph Protocol’s graph-node.[2] That isn’t a comparison with Goldsky, and there is no independent head-to-head benchmark. Goldsky’s Turbo processes up to 10,000 logs in milliseconds.[12] The two figures measure different things. Ponder’s is indexing speed against Graph subgraphs. Goldsky’s is Turbo pipeline throughput.
Is Ponder or Goldsky cheaper?
It depends on scale. Ponder can run a simple indexer for about $5/mo (Railway’s Hobby plan,[5] free Neon PostgreSQL,[6] free Alchemy RPC tier[7]). That excludes engineering time and production-grade Postgres. Goldsky Starter is also free with a one-time $100 credit.[11] At production scale, infrastructure costs plus engineering time for operations can exceed Goldsky’s managed pricing. Goldsky bills $0.05 per hour for each running subgraph, about $36.50 a month. Entity storage is billed separately: the first ~100K entities are free, then about $3.89 per 100K a month. Pipelines cost $0.10 per worker-hour and $1.00 per 100,000 events written, and pipeline size sets the worker count. New teams get a one-time $100 credit. The Scale plan includes 3 subgraphs and 1 pipeline worker plus 1 million event writes free each month.[11]
Can I use Ponder for development and Goldsky for production?
Sources
All sources were checked on October 26, 2026.
Show 16 sourcesHide 16 sources
- Get started. Ponder Docs.ab
- Why Ponder. Ponder Docs.ab
- Self-hosting. Ponder Docs.^
- Ponder Team Joins Monad Foundation. Monad.abc
- Pricing. Railway.ab
- Neon Pricing Plans. Neon.ab
- Alchemy Pricing. Alchemy.ab
- Supported networks. Goldsky Docs.abcde
- Turbo - Supported sinks. Goldsky Docs.abcdef
- Index onchain data with Subgraphs. Goldsky Docs.ab
- Pricing: plans, metering, and product costs. Goldsky Docs.abc
- Turbo Pipelines. Goldsky.^
- Frequently asked questions. Goldsky Docs.^
- Cyber Indexing & RPC Endpoint. Goldsky.^
- Create no-code subgraphs. Goldsky Docs.abc
- Cut RPC costs with Boost. Goldsky Docs.^
Ready to try Goldsky?
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