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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:

  • Fully managed: no servers, databases, or RPC endpoints to maintain
  • Stream data to 11 managed sinks, not just PostgreSQL[9]
  • 150+ chains including Solana and non-EVM: no RPC configuration needed[8]

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

Quick comparison of Ponder and Goldsky across key dimensions
FeaturePonderGoldsky
Platform
ModelSelf-hosted[3]Fully managed
Platform scopeIndexing onlyIndexing, streaming, Edge RPC, Compose (onchain automation)
ChainsEVM-compatible chains (configured by you)[1]150+ EVM and non-EVM chains (including Solana, Stellar)[8]
Operations
Infrastructure responsibilityYou manage: Node.js, PostgreSQL, RPC endpoints, deployment, scalingGoldsky manages everything
Database supportPostgreSQL[1]PostgreSQL, ClickHouse, MySQL, Kafka, S3, and more[9]
Managed hostingNo[3]Yes, optional
Developer experience
Indexing speedDepends on your hardware, RPC endpoints, and tuningSub-second latency. Tuned infrastructure[14]
Subgraph compatibilityOwn schema model. Generates compatible GraphQL APIs100% Graph Protocol spec-compatible[10]
Local developmentFull local dev with hot reload and type safetyNo local indexer. Develop via CLI → deployed service
Time to productionFast local iteration, but production deploy is on youDeploy via CLI in minutes. No infra to provision
Support & cost
Reliability / SLADepends on your ops team and infrastructureManaged uptime with built-in monitoring and alerts
SupportCommunity supportDedicated team. Slack, email, enterprise SLAs
PricingFree (OSS). You pay for infra (servers, DB, RPC)Free tier + usage-based pricing[11]
Best forDevelopers wanting full control + TypeScript-native DXTeams 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.

Ponder’s philosophyDatabase-first. You define indexing logic in TypeScript, and everything lands in your PostgreSQL instance. The database is the center of gravity for your API, queries, and data.
Goldsky’s philosophyStreaming-first. We push data to customer-controlled sinks for full control over schema, indexing, and downstream processing. This decouples data from delivery, reliability, and scaling.

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.

Overhead with PonderUser is responsible for:
1Node.js runtime
2PostgreSQL database provisioning, tuning, and maintenance
3RPC endpoints
4Deployment infrastructure
5Scaling
6Monitoring and alerting
7Reorg handling & recovery
Overhead with GoldskyUser is responsible for:
1Subgraph/pipeline definitions
2Destination 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.

Developer experience comparison between Ponder and Goldsky
FeaturePonderGoldsky Subgraphs
SetupCLI + set up infra stackCLI (everything else managed)
Local developmentHot reload, type-safe, local-firstNo
DebuggingLocal debugger, breakpoints, full stack tracesDeployment logs, handler metrics, alerts
TestingStandard test runners against local instanceDeploy to staging environment via CLI
One-click deployYesYes

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.

Streaming and data destination comparison between Ponder and Goldsky
FeaturePonderGoldsky
Database sinksPostgreSQLPostgreSQL, ClickHouse, MySQL, Kafka, S3, and more[9]
Additional sinksBuild your own pipelines from Postgres (CDC, custom ETL)Request if not already supported
TransformsIn your indexing logic with TypeScriptTypeScript, SQL, and HTTP handlers
Real-time streamingNo native streamingYes
Delivery guaranteesYou handle retries and failure recoveryManaged delivery, retries, and scaling
Data ownershipFullFull (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.

GraphQL and subgraph comparison between Ponder and Goldsky
FeaturePonderGoldsky
Schema modelOwn schema format (TypeScript-defined)100% Graph Protocol spec-compatible[10]
GraphQL APIAuto-generated from your schemaManaged, spec-compatible GraphQL endpoint
HostingSelf-hosted (you run the server)Fully managed by Goldsky
Data storageYour PostgreSQL instanceGoldsky-managed, or stream to your own DB via Turbo
Query performanceDepends on your Postgres tuning and hardwareOptimized managed infrastructure
Migration from The GraphRe-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.

Blockchain chain support comparison between Ponder and Goldsky
FeaturePonderGoldsky
Supported chainsEVM-compatible chains you can set up150+ chains[8]
EVM-compatible chainsYesYes
Non-EVM chainsNoYes
New chain integration speedDIY with an RPC endpointAbout an hour once set up[13]

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.
Pricing comparison between Ponder and Goldsky
FeaturePonderGoldsky
LicenseFree foreverFree 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 timeOngoing DevOps investmentNone
Total estimated costFrom 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:

  • Graph-compatible subgraphs and streaming pipelines across 150+ chains, including Solana and other non-EVM chains.[8]
  • Indexing from an ABI with Instant Subgraphs, without writing mapping code.[15]
  • Turbo streams into 11 managed sinks, not just PostgreSQL.[9]

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

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]

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.

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.

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.

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.

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]

It’s not a standard workflow since the schema formats are different. But you could prototype with Ponder’s hot reload for fast iteration, then implement your production version as a Goldsky subgraph or Turbo pipeline. Think of it as using Ponder for exploration and Goldsky for deployment.

Sources

All sources were checked on October 26, 2026.

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