Figment's Growth Tier excels at providing a cost-effective, managed entry point for protocols in development or early mainnet launch. It offers a full suite of APIs—including Ethereum's JSON-RPC, Solana's RPC, and Cosmos SDK-based chains—with generous daily request limits (typically 250K-500K) and 99.5% SLA uptime. For example, a DeFi protocol like Aave or a new NFT marketplace can validate concepts and handle initial user loads without the operational overhead of self-hosting nodes, which can cost upwards of $5K/month in engineering time alone.
LABS
Comparisons
Figment's DataHub Tiers: Growth vs Scale
A technical analysis comparing Figment's Growth and Scale RPC tiers. We break down request limits, performance SLAs, support, and cost to determine the optimal tier for development versus high-volume production applications.
Chainscore © 2026
introduction
THE ANALYSIS
Introduction: Choosing Your Infrastructure Tier
A data-driven breakdown of Figment's Growth and Scale tiers to align infrastructure costs with your protocol's stage and technical demands.
The Scale Tier takes a different approach by prioritizing performance, reliability, and dedicated support for production workloads at scale. This results in a higher cost but delivers critical advantages: significantly higher request throughput, dedicated node instances to prevent "noisy neighbor" issues, a 99.9% SLA, and direct access to solutions engineers. The trade-off is clear: you pay a premium for infrastructure that can handle the demands of a top-100 DeFi protocol or a high-frequency trading dApp on chains like Avalanche or Polygon.
The key trade-off: If your priority is minimizing initial cost and complexity while validating product-market fit, choose the Growth Tier. If you prioritize guaranteed performance, enterprise-grade support, and infrastructure that scales with your TVL and user base, the Scale Tier is the necessary investment. The decision often hinges on your transaction volume; crossing ~1 million daily requests typically signals the need to upgrade.
tldr-summary
Figment DataHub Tiers: Growth vs Scale
TL;DR: Key Differentiators at a Glance
A direct comparison of Figment's Growth and Scale tiers, highlighting the core trade-offs for different development stages.
01
Growth Tier: Cost-Effective Launchpad
Optimized for early-stage projects: Lower fixed cost with a pay-as-you-go model for API calls and RPC requests. This matters for bootstrapped startups and MVP development where budget predictability is critical and initial traffic is low (< 10M requests/month).
Pay-As-You-Go
Pricing Model
02
Growth Tier: Core Chain Access
Provides essential infrastructure: Includes access to Ethereum, Polygon, and Solana RPC endpoints, basic analytics, and WebSocket support. This matters for teams building multi-chain dApps that need reliable, no-fuss access to major L1/L2 networks without complex node management.
Ethereum, Polygon, Solana
Core Networks
03
Scale Tier: High-Performance & Reliability
Built for production traffic: Features dedicated, load-balanced endpoints with 99.9%+ SLA, higher rate limits, and priority support. This matters for protocols with >$10M TVL, high-frequency trading dApps, and enterprise clients who cannot afford downtime or throttling.
99.9%+
Uptime SLA
04
Scale Tier: Advanced Features & Security
Includes enterprise-grade tooling: Offers private RPC endpoints, enhanced data pipelines (The Graph integration), and MEV protection services. This matters for DeFi protocols requiring maximal extractable value (MEV) mitigation and institutions needing dedicated, secure infrastructure for compliance.
Private RPC + MEV
Key Features
FIGMENT DATAHUB TIERS
Head-to-Head Feature Comparison: Growth vs Scale
Direct comparison of key metrics, rate limits, and support levels for DataHub's Growth and Scale plans.
| Metric / Feature | Growth Plan | Scale Plan |
|---|---|---|
Max Requests per Day | 1,000,000 | Unlimited |
Concurrent Connections | 100 | 500 |
Archive Node Access | ||
Dedicated Support SLA | Business Hours | 24/7 Priority |
Historical Data Retention | 30 days | Full history |
Monthly Cost (Est.) | $299 | Custom Quote |
pros-cons-a
PROS AND CONS
Figment's DataHub Tiers: Growth vs Scale
Key strengths and trade-offs at a glance for teams evaluating blockchain infrastructure.
01
Growth Tier: Cost-Effective Launchpad
Specific advantage: Fixed monthly pricing (~$299-$999/month) with predictable costs. This matters for early-stage startups or MVP development where budget predictability is critical and traffic is sub-100 RPS.
02
Growth Tier: Developer Experience
Specific advantage: Access to unified APIs (Staked, Archive, Token API) and multi-chain support (Solana, Ethereum, Polygon). This matters for small engineering teams needing rapid prototyping without managing node infrastructure, reducing time-to-market.
03
Scale Tier: Performance & Reliability
Specific advantage: Dedicated, high-performance nodes with 99.9%+ SLA, custom RPC endpoints, and priority support. This matters for production dApps with high transaction volume (>1k RPS) where downtime directly impacts user experience and revenue.
04
Scale Tier: Enterprise Features
Specific advantage: Includes advanced tools like WebSocket streams, historical data access, and custom indexing. This matters for protocols and exchanges requiring real-time data feeds, complex analytics, or building proprietary data pipelines.
05
Growth Tier: Scaling Limitations
Key trade-off: Shared infrastructure with rate limits (e.g., 100-400 RPS). This becomes a bottleneck for scaling applications experiencing viral growth or handling DeFi arbitrage bots, leading to throttled requests during peak loads.
06
Scale Tier: Cost Complexity
Key trade-off: Custom, usage-based pricing that scales with traffic. This matters for teams with variable or unpredictable load, as costs can escalate quickly with user adoption, requiring careful monitoring and budgeting.
pros-cons-b
Figment DataHub: Growth vs. Scale
Scale Tier: Pros and Cons
Key strengths and trade-offs for teams choosing between Figment's Growth and Scale infrastructure tiers.
01
Growth Tier: Cost-Effective Launchpad
Specific advantage: Fixed monthly pricing (~$300-$500/month) with predictable costs for up to 1M daily requests. This matters for early-stage dApps and MVP launches where budget predictability is critical and traffic is moderate. Ideal for projects like a new NFT marketplace or DeFi aggregator testing on a single chain.
02
Growth Tier: Simplicity & Speed
Specific advantage: Pre-configured access to 40+ blockchains via a unified API, enabling deployment in hours. This matters for rapid prototyping and hackathon projects where developer velocity outweighs the need for custom configurations. Teams can integrate with Ethereum, Solana, or Polygon without managing individual RPC nodes.
03
Growth Tier: Limited Scale & Support
Specific disadvantage: Rate limits (e.g., 100-200 requests/sec) and shared infrastructure can lead to throttling during peak loads. This matters for high-frequency trading bots or social dApps expecting viral growth, where a single traffic spike could degrade user experience and cause failed transactions.
04
Growth Tier: Basic Observability
Specific disadvantage: Standard metrics dashboards lack advanced analytics like per-endpoint tracing or custom alerting. This matters for protocols requiring SLA compliance (e.g., institutional DeFi) where engineers need deep insights into latency percentiles and error rates to debug performance issues.
05
Scale Tier: Enterprise-Grade Performance
Specific advantage: Dedicated, load-balanced nodes with 99.9%+ SLA, supporting 10,000+ requests/sec and sub-100ms latency. This matters for production-grade exchanges (like a CEX using on-chain settlement) and high-TVL DeFi protocols where reliability directly impacts user funds and protocol revenue.
06
Scale Tier: Advanced Control & Support
Specific advantage: Includes dedicated technical account management, custom WebSocket configurations, and priority support with <1 hour response SLAs. This matters for enterprise integrations and protocols with complex multi-chain architectures (e.g., cross-chain bridges) requiring tailored infrastructure and immediate escalation paths.
07
Scale Tier: Higher Cost & Commitment
Specific disadvantage: Custom pricing often starts at $5K+/month with annual commitments, a significant jump from Growth tier. This matters for bootstrapped startups or research projects where capital efficiency is paramount and traffic doesn't yet justify the premium for dedicated resources.
08
Scale Tier: Implementation Overhead
Specific disadvantage: Requires integration planning and potential architecture reviews with Figment's solutions team. This matters for teams needing immediate scale or those with limited DevOps bandwidth, as the setup process is more involved than the self-serve Growth tier.
CHOOSE YOUR PRIORITY
Decision Framework: When to Choose Each Tier
Growth Tier: For Prototyping & Early-Stage Apps
Verdict: Choose Growth for cost-effective development and initial user testing. Strengths:
- Cost Control: Predictable, low fixed cost with 5M daily requests. Ideal for bootstrapped teams or MVPs.
- Multi-Chain Access: Supports Ethereum, Polygon, Solana, and Cosmos, allowing you to test product-market fit across ecosystems without vendor lock-in.
- Developer Tooling: Includes standard RPC/WS endpoints, basic analytics, and access to Figment's Learn Web3 documentation. Ideal For:
- Pre-seed/Seed stage startups validating a concept.
- Hackathon projects and proof-of-concepts.
- Teams running a light node for a non-critical service or dashboard. Limitations: Not suitable for production applications with high user concurrency or requiring guaranteed uptime SLAs.
verdict
THE ANALYSIS
Final Verdict and Recommendation
Choosing between Growth and Scale tiers is a strategic decision based on your application's performance demands and operational complexity.
Figment's DataHub Growth tier excels at providing a robust, cost-effective foundation for applications in development or with moderate traffic demands. It offers a generous 2.5 million daily requests, access to over 40 protocols, and enterprise-grade reliability with 99.9% uptime SLAs. This makes it ideal for startups, hackathon projects, and established teams launching new features where predictable costs and core API reliability are paramount.
The DataHub Scale tier takes a different approach by prioritizing raw performance and customizability for production workloads. Its key differentiator is the dedicated, single-tenant infrastructure, which eliminates the "noisy neighbor" effect and provides guaranteed resources. This results in a trade-off of higher cost for superior performance metrics like sub-100ms latency, higher throughput ceilings, and the ability to handle custom RPC methods and archival data queries that the shared Growth environment cannot.
The key trade-off: If your priority is cost efficiency, rapid development, and proven reliability for standard operations, choose Growth. It’s the default choice for most applications. If you prioritize maximum performance, dedicated resources, and deep customization for high-volume production systems, choose Scale. This tier is for protocols with significant TVL, high-frequency trading dApps, or any service where latency and request consistency directly impact user experience and revenue.
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