Does self-hosting Statsig's GrowthBook alternative cost less?
Self-hosting GrowthBook can remove the subscription line from your bill, but it does not remove cost. If your Statsig bill keeps climbing with analytics events, the first question is what the replacement charges. GrowthBook's self-hosted Open Source plan is free with unlimited users, 1 project and unlimited API requests, according to GrowthBook's pricing page. That license line can be zero. The total cost of ownership is what moves, because warehouse compute, hosting, implementation and staff time remain. The components differ from Statsig's model. Statsig bills on analytics events, and its warehouse native deployment sits in the Enterprise plan, so you pay for that tier to keep experiment data in your own warehouse. With GrowthBook, the experiment queries run against your existing warehouse as read-only SELECT statements, so the compute cost lands on your warehouse account. Ask your data team to estimate how many experiments per month, how many metrics per experiment and how often results refresh, because those are the levers that drive query spend. Confirm with your warehouse provider how that compute is billed.
The Open Source plan does not include SSO and SCIM, advanced permissioning or approval workflows. The self-hosted Enterprise plan adds them, and it is priced on a custom basis, so request a written quote that lists the seats, the features and the support terms. Treat those seats as a recurring cost to compare against Statsig's Enterprise tier, which also includes warehouse native deployment. If your security team requires SSO, SCIM or approval gates for production flag changes, the Open Source plan will not satisfy that requirement by itself, and the license line will not stay at zero. The remaining costs are people and infrastructure. Plan for MongoDB or a compatible managed database, container hosting or a Kubernetes cluster for the Helm chart, object storage for uploads, and monitoring. Assign named owners for upgrades, backups and on-call response, and budget for the engineering time to replace Statsig SDK calls. Those costs recur, and they grow with the number of environments and the amount of experiment traffic. Ask any implementation partner for a fixed-scope quote that separates one-time migration work from ongoing operations.
Which cost components change when you move from Statsig to GrowthBook
This table maps each cost component of running Statsig against self-hosting GrowthBook, and marks whether it is one-time or recurring. Read it as a checklist for a quote: the license line moves to zero for the free self-hosted tier, while warehouse compute, hosting, people and any Enterprise seats stay with you. Statsig bills on analytics events, and the GrowthBook Enterprise seat price is custom, so confirm both figures in writing.
| Cost component | Statsig (hosted) | Self-hosted GrowthBook |
|---|---|---|
| Subscription or license | Recurring plan billed on analytics events; confirm tier and event volume in your contract | Open Source plan is free to self-host; Enterprise seats are recurring and priced custom, so request a quote |
| Warehouse compute for experiment queries | Recurring; warehouse-native deployment is an Enterprise feature, so confirm whether it applies to you | Recurring; GrowthBook runs SELECT queries against your own warehouse, so size compute for experiment volume |
| Hosting of app image and database | Included in the vendor service | Recurring; infrastructure for the Docker image and MongoDB or a compatible database, often a managed service for production |
| File storage for uploads | Included in the vendor service | Recurring; local, Amazon S3 or Google Cloud Storage depending on your design |
| Implementation and SDK refactoring | Limited to SDK integration already in place | One-time; replacing Statsig SDK calls with GrowthBook SDKs in each application |
| Data and flag migration | Not applicable for export | One-time; the Statsig importer covers gates, configs and experiments, with metric import in beta |
| Support | Recurring with the vendor plan | Recurring if you buy an Enterprise plan or a retainer; otherwise internal or community support |
| Upgrades and internal skills | Handled by the vendor | Recurring; staff time for version upgrades, backups and on-call, which usually costs the most |
What moves the Statsig versus GrowthBook comparison
Statsig and self-hosted GrowthBook bill for different things, so the total cost depends on which units grow in your environment. The drivers below connect your usage pattern to the line items you will pay for, whether that is vendor fees, Enterprise licensing, warehouse compute or the staff who run the platform.
Event volume
Statsig's Pro pricing is tied to analytics events, so a high event count raises the vendor bill directly. Self-hosted GrowthBook does not charge per event, but its experiment queries run against your warehouse, so the same volume shows up as warehouse compute instead. Ask Statsig how events are counted for your SDK usage and estimate your monthly event count from your own logs before comparing.
Users and seats
GrowthBook's paid tiers bill per seat, so the number of people who create flags, read results or approve changes drives licensing cost. The self-hosted Open Source plan allows unlimited users, which removes seat cost from the free tier. Count the people who need write access and separate them from viewers before you request an Enterprise quote.
Number of projects
The self-hosted Open Source plan allows one project. Each additional product area, business unit or isolated set of flags that needs its own project moves you toward a paid tier or an Enterprise agreement. Map your current Statsig projects and decide early whether you can consolidate them under one GrowthBook project without mixing permissions or data.
Enterprise features
SSO, SCIM, advanced permissioning, approval workflows and holdouts are listed on GrowthBook's self-hosted Enterprise plan, not on the free Open Source plan. If your controls require any of these, the license cost becomes a fixed line item you must budget. Confirm with GrowthBook which features your identity provider and change-control process need before assuming the free tier is enough.
Warehouse query volume and size
GrowthBook runs read-only SELECT queries against your own data source, so the cost of each experiment analysis sits in your warehouse bill. Large event tables, many metrics and frequent refreshes increase compute use, while Statsig's warehouse native option is on its Enterprise plan. Ask your data team to estimate query cost per experiment on your warehouse, and set refresh schedules that match how often results are read.
Availability and backup of MongoDB
Self-hosted GrowthBook stores metadata in MongoDB or a compatible database, and the docs suggest a managed service such as MongoDB Atlas or AWS DocumentDB for production. Production-grade availability, replication and backup add recurring infrastructure cost and operator time that a hosted Statsig plan does not require from you. Define recovery objectives with your team and price a managed database or a self-managed replica set against them.
How warehouse compute for experiment queries enters the model
With self-hosted GrowthBook, the query bill for experiment analysis arrives from your warehouse provider, not from GrowthBook. GrowthBook analyzes experiments against your own data source, running only read-only SELECT queries and transmitting only aggregated statistics back to the platform. That means the compute line in your cost model is whatever your Snowflake, BigQuery, Databricks or Postgres environment charges for those queries, billed under your existing contract with that vendor. Statsig's warehouse native deployment, by contrast, is included in its Enterprise plan, so you would confirm that tier's pricing separately before comparing totals.
The volume of warehouse work scales with how you use the platform. The main drivers are the number of experiments running at once, the number of metrics computed for each one, how often results refresh, and the size of the tables the metric queries scan. Partitioning, clustering and the choice of event tables also change how much data each query reads. A team with a few experiments on a daily refresh will see a very different query footprint from a team running dozens of experiments with many metrics and hourly refreshes, so the answer depends on your own design rather than a generic estimate.
Before you commit, ask your warehouse vendor for its current pricing model for the compute and storage you would use, and confirm whether any reserved or committed-use discounts apply. Then run a pilot on a representative subset of experiments and metrics, and record the query count, bytes scanned or compute seconds, and refresh schedule for a full cycle. Multiply the measured usage by the vendor's rates to produce a recurring figure for your budget. Confirm with your data platform team whether the queries will run on a shared warehouse that other workloads already load, since that affects both cost and contention.
How to build the cost model with your own numbers
This sequence turns the general cost comparison into a model built from your Statsig invoices, your event volumes, a written GrowthBook quote and your own staffing, so you can compare one-time and recurring totals over a horizon you choose.
Export current Statsig contract and usage data
Finance and the platform owner pull the current Statsig order form, renewal terms and the last twelve months of invoices, then record each line item and the analytics event volume it is billed against. Ask Statsig for the event counting method in writing, because the billing unit determines how volume growth moves the bill. Check the export limits first: the Console API has per-project rate limits, and the Statsig data export guide covers what analytics data stays behind unless it already lives in your warehouse. The step is done when every line item maps to a billed unit and a monthly figure.
Inventory the Statsig features you actually use
Engineering and product list which Statsig capabilities are live: feature gates, dynamic configs, experiments, segments, warehouse native deployment, SSO and role-based access. Mark which items sit on the Enterprise plan, since warehouse native and several governance features are Enterprise-only in Statsig. Each feature becomes a row in the model, because GrowthBook's Open Source and Enterprise tiers cover them differently. The step is done when the inventory is signed off by the teams that own experiments and flags.
Request a written GrowthBook Enterprise quote
Procurement asks GrowthBook for a written quote for self-hosted Enterprise seats, using the feature list from the previous step. GrowthBook lists Enterprise pricing as custom, so the quote is the only source for seat cost. Ask which features are included in the self-hosted Enterprise tier (SSO and SCIM, advanced permissioning, approval workflows, safe rollouts, holdouts and others) and what support is covered. Compare this against the free self-hosted Open Source plan, which includes unlimited users but one project. The step is done when you have a priced quote and a list of features the free tier would not cover.
Estimate warehouse query load from a pilot
Data engineering connects GrowthBook to a non-production copy of your warehouse and runs a pilot set of experiments and metrics. GrowthBook runs read-only SELECT queries against the source and sends back aggregates, so the cost driver is how often and how large those queries are on your platform. Record the compute consumed per experiment analysis from your warehouse billing, then extrapolate using the planned number of experiments per month. Confirm with your warehouse vendor how the query cost is metered. The step is done when you have a per-analysis compute figure from your own billing, not a vendor estimate.
Size hosting and the MongoDB metadata store
The infrastructure team sizes the GrowthBook deployment: the Docker image or Helm chart on Kubernetes, storage for file uploads (local, Amazon S3 or Google Cloud Storage), and a MongoDB-compatible database. GrowthBook's documentation suggests a managed service such as MongoDB Atlas or AWS DocumentDB for production, so compare that managed fee with running MongoDB yourself. Include backups, high availability, and the monitoring you already run. The step is done when every hosting component has a monthly cost from your cloud or data center bills or a written managed-service quote.
Add staff hours and implementation scope
Engineering managers estimate the hours for the migration, the SDK changes in application code, the upgrade and patching routine, and ongoing administration of the platform. Where the team lacks capacity, request a fixed-scope implementation quote from an implementation partner, which should list deliverables, dependencies and what the client still owns. Note that the LaunchDarkly importer documentation warns that advanced setups may include scenarios it cannot handle and that application SDK changes are required after import. The step is done when hours and any external scope are recorded against named roles.
Total one-time and recurring costs over a stated horizon
Finance combines the figures into two groups: one-time costs such as migration work, SDK refactoring and initial setup, and recurring costs such as Statsig subscription, GrowthBook seats, warehouse compute, hosting, managed database fees and staff time. Choose a horizon in writing before comparing totals, and run the model at current and projected event volumes, since Statsig bills on events and warehouse cost grows with experiment count. Show the Statsig renewal line beside the GrowthBook totals so decision makers see the break-even point rather than a single number. The step is done when a signed-off model shows both totals across the chosen horizon with each assumption labeled by its source.
Who pays for upgrades, security patches and support
With Statsig, upgrades, hosted patching and platform availability sit with the vendor and are covered by the subscription, so your team pays for support through the contract rather than through staff time. Confirm in writing which support tier your current agreement includes, what the response commitments are, and whether any of this changes under the ownership transition described in the Amplitude acquisition note on Statsig's blog. With self-hosted GrowthBook, that responsibility moves to you. Every upgrade, every base image and dependency patch, every MongoDB update and every incident becomes an internal task or a contracted one, and the cost of those people or partners recurs for as long as you run the platform.
The release history is the first input to that work. GrowthBook v5.1.0 was released on September 22, 2026, and the GrowthBook GitHub releases page is where security fixes and breaking changes are announced. Make checking that page part of each upgrade cycle, record the version you run, and test upgrades against a non-production copy that uses your warehouse connections. The official Helm chart for Kubernetes reduces the manual effort of deploying and rolling forward, but it does not patch MongoDB, the warehouse credentials, the cluster itself or the ingress in front of the application. Those remain on your operations calendar.
If you need vendor-backed help, the route is the paid self-hosted Enterprise plan, which adds SSO and SCIM, advanced permissioning and approval workflows. Confirm with GrowthBook exactly what support, response times and upgrade assistance that plan includes, because the public pricing page describes the feature set rather than a support commitment. Ask for the Enterprise quote and the support terms as separate line items, and compare them with the internal hours you would otherwise need for on-call coverage, patch testing and upgrade rehearsal. Where in-house coverage is thin, a fixed-scope retainer with an implementation partner can cover upgrades and patch windows, with the scope written down before work starts.
Questions buyers ask about Statsig and GrowthBook costs
Is the GrowthBook open source plan actually free to run?
The license is free, but running the platform is not. GrowthBook's pricing page lists the self-hosted Open Source plan as free with unlimited users, 1 project and unlimited API requests, so you pay no per-seat or per-request fee to GrowthBook. Your recurring costs are the compute that runs the bundled Docker image, a MongoDB or compatible database (the self-hosting docs suggest a managed service such as MongoDB Atlas or AWS DocumentDB for production), file storage if you use uploads, backups, monitoring, and the warehouse compute that runs experiment queries. The 1 project limit matters most. If you need more projects, you will need a paid tier, so confirm the limits for your planned version on the GrowthBook pricing page.
How much staff time does self-hosting GrowthBook need?
No fixed figure is published for staff time, so the answer depends on how you deploy and what you run around it. The main work falls into a few areas:
- Deployment and upgrades, either with the official Helm chart on Kubernetes or with Docker Compose-style setups, including keeping pace with new releases such as v5.1.0 (September 22, 2026).
- Database operations, backups and restore testing.
- Identity and access, especially if you adopt the self-hosted Enterprise SSO and SCIM features.
- Warehouse connections, data source credentials and SQL metric definitions.
Your own cluster maturity, the number of experiments, and whether someone on the team already runs MongoDB and Kubernetes will move this estimate most. Ask your team to size these tasks against its current on-call and platform workload before you approve the budget.
How long does a migration from Statsig take, and what drives it?
No overall migration duration is published, so treat any timeline as something to agree in writing after a scoping review. GrowthBook's Statsig importer retrieves environments, tags, segments, feature gates, dynamic configs and experiments through a Console API key. Metric sources and metrics are in beta and only cover warehouse-native Statsig metrics, so metric migration can take the most planning. The largest drivers are the number of gates, dynamic configs, experiments and segments; how many services call the Statsig SDK, since each application must switch to a GrowthBook SDK after the import; whether metrics need to be rebuilt by hand; and how much of your Statsig analysis history must be kept. GrowthBook's importer documentation also warns that advanced setups may include cases it cannot handle, so a pilot with one project is a sensible first step. The Statsig migration guide lists the objects covered.
Can our own team migrate from Statsig without outside help?
Many teams can, provided they have the right skills and time. GrowthBook documents a Statsig importer, a self-hosting path and a Helm chart, so the platform work is well described. The team should have experience with containers and Kubernetes, MongoDB administration, secrets handling, and SQL against your warehouse. Someone also needs to own the statistics side, meaning metric definitions, experiment design and how results are read. The application changes are usually the most time-consuming part, because each service must replace Statsig SDK calls and be tested in every environment. Be cautious about the parts the importer does not cover, and plan a review of your security configuration before production use. If skills or capacity are short in any of these areas, an external partner can take on a defined part of the work.
What does a fixed-scope GrowthBook implementation from DeployOpen include?
DeployOpen plans, implements, customizes, integrates, hardens, backs up, upgrades, documents and supports self-hosted open-source platforms inside your own cloud accounts, data centers or air-gapped networks. A fixed-scope GrowthBook engagement covers the parts you agree in writing before work starts, which typically means scope, deliverables and timelines. Depending on what you choose, that can include deploying GrowthBook into your environment, configuring authentication and backups, running the Statsig import and checking the results against the source, connecting your warehouse data sources, planning the application SDK changes, and handing over documentation. Ongoing support, upgrades and continuous testing are available as retainers. DeployOpen does not publish a price list, and a quote follows from the written scope. DeployOpen prepares systems and evidence for compliance assessments but does not issue audit reports or certifications.
What happens to warehouse costs when GrowthBook runs experiments?
The cost of analyzing experiments moves from the experimentation vendor's bill to your warehouse bill. GrowthBook analyzes experiments against your own data source, including BigQuery, Snowflake, Redshift, Databricks, Postgres and others. It runs only SELECT queries and transmits only aggregated statistics, so your raw events stay in the warehouse. Warehouse spend then depends on how many experiments and metrics you run, how often results refresh, how much data each query scans, and how your warehouse prices compute, whether per query or per capacity. Statsig's warehouse native deployment is part of its Enterprise plan, so compare that tier with your current spend. Ask your data platform team to run representative experiment queries and measure their cost before you commit, and ask GrowthBook to explain how it schedules and caches those queries in your setup. The data source documentation lists supported sources.
When do GrowthBook Enterprise seats pay back compared with Cloud or Statsig?
Payback depends on whether you need features the free plan lacks, and no break-even point can be calculated from public figures alone. GrowthBook's pricing page lists Cloud Pro at $40 per seat per month for up to 30 users and 3 projects, which gives a known per-seat baseline for comparison. Self-hosted Enterprise adds SSO and SCIM, advanced permissioning, approval workflows, multi-armed bandits, safe rollouts, ramp schedules, sticky bucketing and holdouts. Its price is custom in the pricing page, so request a written quote for your seat count and deployment model. On the other side, add your own hosting, database, warehouse and staff costs. Statsig's Enterprise and event-based pricing are quoted per contract, so ask Statsig and Amplitude for a written quote based on your event volume and contract terms before comparing.
How does Statsig's event-based pricing change as usage grows?
Statsig bills analytics events, so cost tracks how much your applications send to the platform, not how many people use the experimentation tool. Growth in traffic, new event types, and new experiments can all raise the bill, and that can happen without any change to your team size. GrowthBook's self-hosted Open Source plan has no per-event or per-request charge, so your spend shifts toward infrastructure, warehouse queries and staff time, which also grow with usage but on different drivers. To model the difference, ask Statsig for a quote using your last twelve months of event volume and your expected growth, and confirm how the contract treats overages, renewals and any changes that follow the Amplitude acquisition. Keep the quote in writing so you can compare it with your own infrastructure and warehouse estimates.
When the numbers favor staying on Statsig
Staying on Statsig can be the cheaper option, and the cost comparison should start by testing that. Statsig bills on analytics events, so a team with modest event volume, no warehouse and few flags may pay less for a hosted service than it would spend on self-hosted GrowthBook. The self-hosted cost is not only infrastructure: GrowthBook bundles its front end, API and statistics engine in one Docker image backed by MongoDB or a compatible database, so someone must patch, back up and upgrade that stack. If your platform staff are scarce, that labor is the figure to weigh first. Ask Statsig for a quote based on your actual event counts for the last twelve months, and compare it with the internal hours you can realistically commit to running GrowthBook.
The case for staying also depends on whether a warehouse already exists. GrowthBook analyzes experiments by running read-only SELECT queries against your own data source, so the warehouse compute for those queries is a recurring cost you would add. Without a warehouse, the self-hosted design needs one before experiments are useful, which changes the arithmetic. Also check the Enterprise boundary: Statsig's warehouse native deployment sits on its Enterprise plan, and self-hosted GrowthBook's SSO, SCIM and advanced permissioning sit on its paid Enterprise tier. Confirm which of these features your governance requires, because they can move a self-hosted total upward and a Statsig Enterprise quote may already include them.
Before you commit to a cost case in either direction, read your Statsig contract for renewal terms, price change clauses, data export rights and any change-of-control language. Statsig announced in September 2025 that it would join OpenAI, and Amplitude acquired Statsig in May 2026 according to Statsig's blog. Ask the vendor in writing what the acquisition means for your pricing, support and product roadmap, and whether any term lets you exit early. Those answers can change the price you should accept for staying. For the ownership questions in full, read Statsig after the Amplitude acquisition: stay or replace, and for the product and workflow comparison, see the sibling page on Statsig vs GrowthBook.
How DeployOpen scopes a fixed-price GrowthBook implementation
DeployOpen is a Chainscore Labs company that plans, implements, hardens, backs up and documents self-hosted open-source platforms inside your own cloud accounts, data centers or air-gapped networks. For a move from Statsig to GrowthBook, we start by agreeing in writing what the self-hosted deployment, data connections and handover will cover, so the cost comparison above becomes a scoped plan with known components.
How we scope
- Inventory which Statsig features your teams use: gates, dynamic configs, experiments, segments and any warehouse native setup.
- Confirm which GrowthBook edition you need, including whether SSO, SCIM and advanced permissioning justify a paid Enterprise plan.
- Map each warehouse or data source GrowthBook will query and the access accounts those queries will use.
- Agree the written scope, deliverables and timeline before any implementation work begins.
How we build
- Deploy GrowthBook in your environment using the official Docker image or Helm chart, with a production-grade MongoDB-compatible database.
- Configure read-only warehouse connections so experiment queries run as SELECT statements and return only aggregated statistics.
- Plan and test the LaunchDarkly or Statsig importer runs in a non-production environment, and document any objects that need manual rebuilding.
- Test the SDK switchover in a staging application before any production traffic moves to GrowthBook.
How we hand over
- Document the architecture, network paths, data flows and warehouse permissions for your security and compliance teams.
- Provide runbooks for upgrades, backups, secret rotation and warehouse query cost monitoring.
- Deliver a record of what was imported, what was rebuilt by hand and what remains open, so your team can verify it.
- Train the people who will own feature flags, experiments and metric definitions after handover.
How we support
- Engagements are fixed-scope, and ongoing support, upgrades and continuous testing are available as retainers.
- Upgrades to new GrowthBook releases can be planned and tested against your configuration before rollout.
- Confirm with us during scoping which parts of compliance readiness you need evidence for, since independent auditors issue any formal reports.
- Ask for a quote based on the written scope, since DeployOpen does not publish a price list.
