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Top 9 Best Brewery Control Software of 2026

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Top 9 Best Brewery Control Software of 2026

Rank top brewery control software for breweries using clear criteria and tradeoffs, with tools like Brewer's Friend and Ollie listed.

17 min readUpdated Editorially scoped research
How we ranked these tools
01Editorial Scope

Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.

02Source Research

Search agents gather the source set and the review record, including transcriptions of video reviews and podcasts.

Read our full methodology →

Framework: Features 40% · Ease 30% · Value 30%

Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy

This best-list targets brewery operators, analysts, and engineering teams comparing control and operations software by how it models batches, connects to tanks and labs, and records changes with audit logs. The ranking emphasizes automation patterns, data models and schemas, extensibility, and integration options so buyers can evaluate throughput and governance tradeoffs across enterprise and mid-market deployments.

Brewer's Friend is the strongest fit for teams that want recipe-driven brew records and fermentation tracking without jumping to machine-grade control, whereas Ollie suits breweries that prioritize batch-centric production planning and execution across shifts over pure recipe logging.

Editor’s top 3 picks

Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.

Editor pick
1

Brewer's Friend

Batch-linked recipe planning that keeps brew steps and outcomes attached for audit-style review.

Best for: Fits when teams need recipe-driven brew records and fermentation tracking without SCADA-grade control.

2

Ollie

Editor pick

Batch execution workflow records process events in context of tank and step, not just raw tag changes.

Best for: Fits when breweries need batch-centric execution over machine signals across tanks and shifts.

3

Brewery SAP

Editor pick

Execution workflows connect fermentation and quality events to SAP-aligned batch records for traceable production history.

Best for: Fits when multi-site breweries already run SAP and need controlled batch records tied to compliance workflows.

Comparison Table

1
Brewer's FriendBest overall
SMB
9.2/10
Overall
2
vertical specialist
8.9/10
Overall
3
enterprise
8.5/10
Overall
4
enterprise
8.2/10
Overall
5
vertical specialist
7.8/10
Overall
6
enterprise
7.5/10
Overall
7
enterprise
7.2/10
Overall
8
6.9/10
Overall
9
6.5/10
Overall
#1

Brewer's Friend

SMB

Recipe formulation and brew-day tracking software with batch logging, inventory, and fermentation monitoring.

9.2/10
Overall
Features9.0/10
Ease of Use9.4/10
Value9.2/10
Standout feature

Batch-linked recipe planning that keeps brew steps and outcomes attached for audit-style review.

Brewer's Friend is best evaluated as a brew record and process tracking system that also covers recipe formulation and brew-day execution planning. It connects recipe versions to specific batch runs so adjustments can be reviewed against prior outcomes. Batch pages aggregate key fields for gravity, temperature targets, and process notes so shift changes can reference the same history.

A tradeoff for Brewer's Friend is that it provides less direct real-time equipment control than dedicated SCADA-centric brewery control stacks. It fits situations where operators need consistent batch records, fermentation planning, and traceable process notes more than PLC-level interlocks. It also works well for teams consolidating brew and cellar data to reduce spreadsheet handoffs.

Pros
  • +Tight link between recipes, steps, and specific batch runs
  • +Structured fermentation and cellar tracking with target progress
  • +Batch history supports fast comparisons across brew iterations
  • +Document-style outputs for process records and handoffs
Cons
  • –Limited depth for live equipment control compared with PLC-driven systems
  • –Some automation depends on external integrations and setup
  • –Real-time dashboards are weaker than SCADA-first implementations
  • –Deep audit logging and RBAC granularity can lag brewery governance needs
Use scenarios
  • Brewmasters and cellarmasters

    Track ferment progress against targets

    Fewer manual status updates

  • Brew staff shift leads

    Handoff batch state across shifts

    Faster operational continuity

Show 2 more scenarios
  • Quality and compliance teams

    Maintain consistent production records

    Cleaner traceability for reviews

    Batch history compiles process notes and measurements into documentation-ready records.

  • Small brewery IT admins

    Centralize recipe and batch data

    Lower data fragmentation

    Admins standardize recipes and batch runs so teams stop duplicating spreadsheets.

Best for: Fits when teams need recipe-driven brew records and fermentation tracking without SCADA-grade control.

#2

Ollie

vertical specialist

Brewery management software for production planning, inventory, sales, and operations.

8.9/10
Overall
Features9.0/10
Ease of Use8.6/10
Value9.0/10
Standout feature

Batch execution workflow records process events in context of tank and step, not just raw tag changes.

Ollie fits teams that already run brewhouse control and want a single execution layer for batch tracking, equipment state, and process events. The software’s workflow approach maps incoming machine signals into structured batch histories, which reduces manual reconciliation during handoffs between brew-day and cellar activities. API and automation hooks make it practical to wire in external lab updates and operational tooling without duplicating logic inside spreadsheets.

A key tradeoff is that Ollie’s value depends on clean upstream tagging and equipment mapping, because misaligned identifiers cause batch events to land in the wrong context. A typical usage situation is production operations onboarding a new packaging or transfer step that needs consistent recording, state transitions, and approvals across batches before scaling to additional tanks.

Pros
  • +Event-to-batch workflow keeps process history tied to equipment state
  • +Automation and API enable integrating PLC feeds into execution logic
  • +Reusable configuration patterns support consistent multi-tank rollout
  • +Operational UI supports day-of-production monitoring without export steps
Cons
  • –Identifier and equipment mapping quality strongly affects event correctness
  • –Advanced workflows require more configuration discipline than basic dashboards
  • –Some specialized lab and quality steps need tighter integration work
  • –Throughput of high-frequency signals depends on integration design
Use scenarios
  • Brewery operations managers

    Track brew-day and transfer events

    Fewer reconciliation errors

  • Automation and systems engineers

    Connect PLC and historian sources

    Less custom glue code

Show 2 more scenarios
  • Quality and QA leads

    Record sampling and approval milestones

    Audit-ready batch lineage

    Links quality checkpoints to batch steps so sampling records remain traceable to execution state.

  • Multi-site plant administrators

    Standardize configuration across sites

    Faster onboarding

    Applies reusable configuration templates to keep batch workflows consistent during equipment rollouts.

Best for: Fits when breweries need batch-centric execution over machine signals across tanks and shifts.

#3

Brewery SAP

enterprise

SAP offers brewery-specific manufacturing and supply chain modules.

8.5/10
Overall
Features8.4/10
Ease of Use8.5/10
Value8.7/10
Standout feature

Execution workflows connect fermentation and quality events to SAP-aligned batch records for traceable production history.

Brewery SAP is built to fit organizations already standardizing on SAP data flows, so it aligns brewery control events with enterprise reporting and audit trails. The most practical fit shows up when teams need consistent batch identity from brewhouse execution into cellar handling and recordkeeping. The integration posture matters because Brewery SAP behaves best when PLC and SCADA systems publish signals that can be mapped into its execution and reporting workflows.

A key tradeoff is that Brewery SAP’s value depends on strong governance of master data and process states, because the system mirrors enterprise workflows rather than operating as a standalone shop-floor layer. It works well for breweries with multiple sites or business units that want one set of batch definitions and quality record logic across planning, production, and compliance reporting. For smaller operators without an SAP backbone or with highly custom shop-floor equipment mapping, the setup effort can outweigh the operational gains.

Pros
  • +ERP-aligned batch tracking ties production events to enterprise records
  • +Workflow-driven execution reduces reliance on manual status updates
  • +Audit-oriented record handling supports regulated quality documentation
  • +Extensibility via SAP integration patterns supports custom process logic
Cons
  • –Mapping shop-floor signals to business objects requires disciplined configuration
  • –Administrative overhead can be high without existing SAP governance routines
  • –Standalone brewhouse control without SAP integration limits full benefits
  • –Custom equipment variations can increase interface and validation work
Use scenarios
  • Production operations teams

    Run batch status across cellar steps

    Fewer mismatched batch records

  • Quality and compliance teams

    Manage lab and sampling records

    Cleaner audit trails

Show 2 more scenarios
  • Manufacturing IT teams

    Integrate PLC signals into MES-like workflows

    More reliable data propagation

    System events are mapped into enterprise process records with controlled transitions and validation.

  • Plant managers

    Standardize process execution across sites

    More consistent execution

    Shared batch definitions and workflow logic reduce local deviations between facilities.

Best for: Fits when multi-site breweries already run SAP and need controlled batch records tied to compliance workflows.

#4

VMP by Krones

enterprise

Krones provides brewery management and process control software.

8.2/10
Overall
Features8.3/10
Ease of Use7.9/10
Value8.2/10
Standout feature

Batch-centered workflow configuration that records operator actions against equipment-driven state transitions.

VMP by Krones targets breweries that already run Krones automation and want higher-level control across brew, fermentation, cellar, and quality workflows. The system focuses on end-to-end batch context tied to equipment communications, with configuration that maps brewery operations into repeatable production runs.

Pros
  • +Tight fit with Krones equipment for consistent batch state across systems
  • +Workflow configuration ties batch events to operator actions and approvals
  • +Integration pathways for PLC and SCADA environments reduce data handoffs
  • +Traceable batch changes improve continuity between planning and execution
Cons
  • –Works best when brewery processes and automation are already standardized
  • –External system coverage can depend on project-specific integration scopes
  • –UI complexity rises when many tanks and parallel lots are modeled
  • –Requires disciplined data inputs to keep batch timelines accurate

Best for: Fits when breweries need controlled brew and cellar execution tied to automation and traceability.

#5

Ekos

vertical specialist

Brewery management software covering production, inventory, sales, accounting, and compliance.

7.8/10
Overall
Features7.9/10
Ease of Use7.9/10
Value7.7/10
Standout feature

Batch-bound cellar workflow that records tank state transitions against the same lot for consistent traceability.

Ekos is a brewery control software suite that coordinates brewing schedules, batch tracking, and cellar workflows from a centralized interface.

Pros
  • +Batch tracking keeps brewhouse and cellar states linked per lot
  • +Cellar workflow steps stay attached to the same batch history
  • +API and data integrations support exporting operational events
  • +Role-based access limits who can change recipes and process configs
Cons
  • –Automation setup needs careful mapping between tags and equipment
  • –Some advanced MES and ERP workflows require external integration effort
  • –CIP and laboratory record depth can lag specialized QMS tools

Best for: Fits when breweries need end-to-end batch execution across cellar and brewhouse with integration to shop-floor systems.

#6

Braumat

enterprise

Siemens Braumat is a process control system for breweries.

7.5/10
Overall
Features7.6/10
Ease of Use7.2/10
Value7.7/10
Standout feature

Process execution and state tracking designed to align with PLC-driven control phases across brewhouse, cellar, and CIP workflows.

Braumat, from Siemens, is aimed at beer and beverage plants that need brewhouse and cellar workflows wired to industrial control systems. Core capabilities center on batch and process tracking, equipment communication for tank and utilities control, and configuration of production states across brewhouse, fermentation, and cleaning.

Pros
  • +Tight Siemens-oriented integration for PLC and equipment control loops
  • +Batch and process tracking tied to operational states across tanks and brewhouse
  • +Configurable automation workflows for fermentation, CIP, and production phases
  • +Plant governance features include role-scoped access and change traceability
Cons
  • –Setup relies on industrial integration work, not just application configuration
  • –Recipe and workflow configuration can be complex for highly custom plant layouts
  • –Operational dashboards depend on what data points are exposed from the control layer
  • –Limited evidence of non-Siemens automation out-of-the-box for mixed control stacks

Best for: Fits when brewing teams need SCADA or PLC integration depth and controlled, traceable batch execution in a Siemens-heavy plant.

#7

ProLeiT

enterprise

Process control and MES software for brewing operations.

7.2/10
Overall
Features7.1/10
Ease of Use7.0/10
Value7.5/10
Standout feature

Batch-linked state management that drives cellar and production workflows from live plant signal mapping.

ProLeiT targets brewery control workflows with a focused control layer that maps operational signals to batch, tank, and production states. It provides integration and automation surfaces for connecting PLC and plant systems, so brewhouse and cellar events can drive downstream actions.

Pros
  • +State-driven control logic ties plant signals to batch execution
  • +Integration-oriented automation hooks support PLC and plant system connectivity
  • +Operational configuration keeps tank and process states consistent across batches
  • +Extensible screens and workflows fit multi-tank production layouts
Cons
  • –Tighter brewery customization requires disciplined configuration governance
  • –Setup effort is higher than for dashboard-first brewery tracking tools

Best for: Fits when brewery teams need controlled execution states across tanks and want automation tied to plant signals.

#8

Brewfather

SMB

Cloud brewing software for recipe formulation, batch planning, inventory, and brew-day records.

6.9/10
Overall
Features7.0/10
Ease of Use6.6/10
Value7.0/10
Standout feature

Per-batch fermentation profiles with stage targets tie planned temperatures and timing directly to logging checkpoints.

Brewfather is brewery control software focused on recipe building, batch tracking, and structured fermentation planning with a mobile-friendly workflow. Temperature profiles for fermentation and conditioning are translated into practical schedules for operators, including stage timing and target targets per batch.

Pros
  • +Recipe and batch workflows stay together across brew day and fermentation checkpoints
  • +Fermentation and conditioning timelines with stage targets reduce planning mistakes
  • +Mobile-friendly operator view supports quick logging during tank monitoring
  • +Export and import pathways help transfer batch history into external systems
Cons
  • –Limited direct brewhouse control coverage compared with PLC-centric systems
  • –Advanced governance like RBAC and audit logging is not the central strength
  • –Sensor-driven automation depends more on manual logging than closed-loop control
  • –Deep historian and MES integration patterns require work outside core configuration

Best for: Fits when teams need recipe-to-batch tracking and fermentation scheduling without full PLC and SCADA replacement.

#9

BeerSmith

SMB

Brewing software for recipe design, ingredient calculations, batch planning, and brew records.

6.5/10
Overall
Features6.3/10
Ease of Use6.6/10
Value6.7/10
Standout feature

BeerSmith’s recipe and batch calculation engine ties planning inputs to execution records without requiring plant-grade device integration.

BeerSmith is brewery control software that focuses on recipe formulation and brew planning tied to batch execution records. Its core workflow centers on recipe management, batch tracking, and practical brew-day calculations that support consistent repeatability.

Pros
  • +Recipe and batch calculations support consistent brew-day execution
  • +Batch tracking links brewing inputs to planned outcomes
  • +Clear workflow for planning, record keeping, and revision of recipes
  • +Export-ready recipe and batch outputs fit spreadsheet or document processes
Cons
  • –Limited direct control over tanks, glycol, CIP, and instrument signals
  • –Automation integration is thinner than SCADA, PLC, and MES style deployments
  • –Cellar monitoring depends more on manual entry than continuous telemetry
  • –Audit and governance controls for multi-user operations are not geared to plant teams

Best for: Fits when brewers need recipe-driven batch records and calculations more than direct brewhouse device control.

Conclusion

After evaluating 9 brewery control software, Brewer's Friend stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.

Our Top Pick
Brewer's Friend

Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.

How to Choose the Right Brewery Control Software

We separate brewery control software options by how reliably they execute your brewing workflows and how clearly they expose control, records, and traceability. The biggest practical differences show up in recipe and batch data models, auditability, and real-time automation behavior like how the system handles batch tracking and lot traceability.

Recipe steps mapped to live controls

Why it matters

Recipe and batch execution succeeds only when recipe steps map to the actual control points you run on the floor. This matters for consistent throughput and for repeatable outcomes across batches.

How to check

On a demo, choose a sample recipe and walk step-by-step through what the system sends to each stage. Ask to see a screenshot or export of the configuration that links a step to each process control action.

Batch tracking with stage-level detail

Why it matters

Batch tracking with stage-level detail makes it easier to diagnose what happened when performance or quality deviates. It also supports decision-making during brew-day and post-mortems.

How to check

Request a sample batch record view and show entries for each stage, including timestamps and operator actions. Then ask how the record changes when you pause, resume, or adjust a step mid-run.

Lot traceability across inputs and outputs

Why it matters

Lot traceability reduces guesswork when you investigate quality issues. It also helps ensure you can answer which input lots contributed to a given finished batch.

How to check

Ask the demo to ingest a mock raw input lot list and then trace forward to a finished batch record. Confirm whether the trace includes the specific lots used and where substitutions are recorded.

Quality sampling records tied to batches

Why it matters

Quality sampling records matter when you need to associate measurements to a batch at the right time. Without clear linkage, data can’t reliably explain outcomes.

How to check

On a demo, add a few quality tests and link them to a batch stage. Ask whether the system enforces required fields and preserves history when values are corrected.

Audit logs and RBAC for operators

Why it matters

Audit logs and RBAC help you control who changed configurations and who entered decisions. This lowers the chance that errors get hidden behind generic user accounts.

How to check

Request a view of the audit trail for a changed recipe step and for a corrected batch record. Then ask how permissions work across roles like operator, supervisor, and admin, including what each role can edit.

Event history with configuration versioning

Why it matters

Event history with configuration versioning helps you reproduce what ran and why, especially when troubleshooting. It also protects you from quietly mixing outcomes from different settings.

How to check

Ask the system to show the configuration version used for a historical batch. Then request an example where a recipe was updated and confirm whether old batches stay tied to the prior version.

Red flags

  • Batch tracking shows only high-level statuses, not stage events.
  • Lot traceability stops at raw inputs and can’t reach outputs.
  • Audit logs don’t clearly show who changed what and when.

Fit by situation

  • If you need to run different recipe steps with consistent process actions, prioritize recipe steps mapped to live controls.
  • If you frequently troubleshoot brew-day issues after the fact, prioritize batch tracking with stage-level detail.
  • If your quality investigations rely on knowing which inputs contributed, prioritize lot traceability across inputs and outputs.

Frequently Asked Questions About Brewery Control Software

How do ProBrewer and Ollie differ in batch execution and event tracking?
Ollie captures process events in the context of tank and step so batch execution records stay tied to operational changes. ProBrewer emphasizes recipe-linked brew steps and batch history links that support audit-style review without requiring SCADA-grade controller control.
Which tool supports tank temperature and gravity targets as structured checkpoints during fermentation?
Ollie and Brewer's Friend both model fermentation as tracked steps with target-driven checkpoints. Brewer's Friend ties recipe planning to fermentation and cellar tracking using batch history links across brews, while Ollie ties execution to tank and step events.
How does Beer30 handle fermentation profiles compared with Brewfather?
Brewfather translates per-batch fermentation temperature profiles into stage timing schedules for operators and stores batch pages that connect brew inputs to later tank and gravity checkpoints. Beer30 is positioned more as an operational control workflow tied to batch execution records, so it does not center on the same stage-target scheduling surface.
When do Ekos and Braumat work best in the same workflow, and where does overlap stop?
Ekos fits when the primary need is end-to-end batch tracking and cellar workflows with controlled access to operational records and configuration settings. Braumat fits when the plant already relies on industrial automation and needs brewhouse and cellar workflows wired to PLC and industrial control phases, including CIP state handling.
What breaks if a team needs direct SCADA or PLC command control rather than measurement import-export?
Brewfather is strongest for importing and exporting measurement history and turning temperature profiles into operator schedules. BeerSmith and Brewer's Friend also emphasize planning and exportable records, so they can fall short when the requirement is direct device command control and real-time historian-driven automation.
How do Ollie and VMP by Krones handle configuration standardization across sites?
Ollie uses reusable configuration templates so admins can standardize setups across sites while keeping batch-centric execution workflows consistent. VMP by Krones focuses on mapping brewery operations into repeatable production runs tied to equipment communications, so standardization is expressed through workflow configuration aligned to automation state transitions.
Which solution provides stronger integration depth through an API surface for connecting PLC and historian systems?
Ollie is built around an automation and API surface meant for connecting PLC and historian systems into one operational timeline. ProLeiT also provides integration and automation surfaces for mapping plant signals to batch and production states, but the emphasis differs toward controlled state management rather than end-to-end operational timelines.
How does Braumat support security and admin governance for operational records?
Braumat provides role-scoped access for day-to-day execution and records traceable change history for operational records and configuration. Ekos also emphasizes controlled access to operational records, but Braumat is designed around industrial control workflows where governance must cover operational state changes and equipment-aligned execution.
What is the tradeoff between using BeerSmith for recipe planning and using Ekos for execution and tank state transitions?
BeerSmith concentrates on recipe formulation and brew calculations tied to execution records, so teams can keep repeatability without planning for device command control. Ekos binds cellar workflows to batches and records tank state transitions against the same lot for traceability, so it supports operational execution workflows more directly than recipe-first planning.

Tools reviewed

Primary sources checked during evaluation.

Referenced in the comparison table and product reviews above.

Commissioned Research

Funding and competing interests

This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.

They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.

Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →

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