Blog · Alternatives and comparisons
Planning platforms produce the plan. When the question is why the month moved, these are the options and what each needs.
Planning platforms produce the plan. When the question is why the month moved, these are the options and what each needs.
Every product here is good at what it is built for. The useful comparison is what each is built for, what it needs before it answers, and who does that work. Facts about each were checked on 24 September 2026 and are sourced at the end.
Platforms for budgeting, forecasting and scenario planning, connected to the ledger and other systems. The first answer usually takes months, with models built, the ledger and other systems integrated, often with an implementation partner.
| Product | Built for | How it gets data | AI |
|---|---|---|---|
| Anaplan | Large enterprises planning across finance, sales, supply chain and workforce in one place; Organisations with a dedicated team of model builders or a centre of excellence | Data comes in through Anaplan Data Orchestrator, which has prebuilt connectors for sources including SAP, Salesforce, Snowflake, Databricks, Google BigQuery, Oracle, SQL Server, PostgreSQL, Amazon S3, Azure Blob Storage and SFTP, plus file imports. Third-party reviewers also list integration via iPaaS tools such as MuleSoft, Informatica and Boomi. | Anaplan groups its AI under Anaplan Intelligence: CoPlanner (a conversational assistant), CoModeler (helps build and document models), Forecaster (machine-learning predictions), Optimizer (an optimisation engine), role-based agents including Finance Analyst (evaluates variances, examines forecasts and surfaces cost drivers), Agent Studio for configuring agents, and an AI Gateway for connecting external language models under governance. |
| Pigment | Fast-growing mid-market and upper mid-market companies whose models change often; Finance teams that want to plan across finance, sales and headcount without a dedicated modelling centre | Pigment connects to ERP and accounting systems (NetSuite, SAP S/4HANA, Sage Intacct, Xero, QuickBooks), Salesforce, HR systems (Workday, HiBob, BambooHR, Personio and others), data warehouses (Snowflake, Redshift, Azure SQL, Databricks, BigQuery), cloud storage and SFTP, Excel and Google Sheets, and a custom API. | Pigment AI includes a Modeler Agent that builds and changes governed models, an Analyst Agent that analyses data, automates reporting and flags risks and opportunities, custom agents built from user instructions, a Documentation Agent, machine-learning forecasting, a formula explainer, and a Pigment MCP server that links Pigment to external AI systems. A Planner Agent for scenarios and forecasts is listed as coming soon. |
| Planful | Mid-market and enterprise finance teams wanting planning and consolidation in one product; Companies on cloud ERPs such as NetSuite, Dynamics 365 or Sage Intacct | Planful offers prebuilt connectors and APIs for systems including NetSuite, Workday, Sage, Oracle, SAP, Salesforce, Snowflake and Power BI. Third-party reviewers list native connectors for NetSuite, Dynamics 365, Sage Intacct and Xero, and integration through Boomi and SFTP. | Planful AI includes Planner (builds forecasts from accounts and assumptions described in plain language), Analyst (explains variances from account-level data and separates one-off from recurring movements), Help, Signals (anomaly detection), Projections (machine-learning baseline forecasts) and a read-only MCP server for assistants such as Claude, ChatGPT and Copilot. |
| Vena | Mid-market finance teams that work mostly in Excel and want to keep doing so; Organisations invested in Microsoft 365, Power BI and Teams | Vena has prebuilt connectors for ERPs (NetSuite, Sage Intacct, Dynamics 365 Business Central and Finance & Operations, SAP, Acumatica, QuickBooks, Xero), CRMs (Salesforce, Dynamics CRM, HubSpot), HR systems (ADP, Workday, Dayforce, BambooHR) and warehouses (OneLake, Snowflake, Redshift, BigQuery), plus bidirectional APIs, Microsoft Fabric-based connectors and flat-file automation. | Vena's agents include the Planning Agent (builds budgets and forecasts from natural language in Excel), Reporting Agent (builds reports and charts with drill-down), Analytics Agent (scenario simulation and variance and trend analysis) and a Scenario Agent listed as coming soon, supported by the Vena Omega context engine. CFO Shortlist describes Vena Copilot as an assistant built on Microsoft Azure OpenAI Service. |
| Adaptive Planning | Organisations already using Workday HCM or Workday Financials; Mid-market and enterprise finance teams with many budget contributors across departments | Data and metadata sync from ERP, CRM, HCM and cloud data warehouse sources, with native links to Workday HCM and Financials; spreadsheet and file imports are also supported, and third-party reviewers list connectors for SAP, Oracle, NetSuite, Dynamics 365, Salesforce and Snowflake. | Workday Illuminate provides anomaly detection, outlier reporting and predictive forecasting in Adaptive Planning. Workday's Planning Agent, announced in September 2025, is aimed at cutting data exploration and analysis time; Workday reports around 30% (about 100 hours a month) for early-access customers. |
All of the above assume a team that will build and maintain a model of the data first. When the need is one desk's recurring question, answered from exports it already has, Covirage reads the files, answers with a bridge that sums to the change, and is set up for you within a week. The AI model explains; our tools do the arithmetic.
| Time to the first answer | What it needs | Who builds it | |
|---|---|---|---|
| Covirage | Minutes on a file you already export; set up for you within a week | The exports your systems already produce. No warehouse, no modelling language, no data team | We map the columns once and set the dashboard up for you |
See every alternative page and head-to-head comparisons.
Facts about other products were checked on 24 September 2026 from the pages below. Product names are trademarks of their owners; Covirage is not affiliated with them.
The one built for your situation. A platform for the whole organisation, a BI suite for a central data team, a planning tool for the budget, and a file-first tool for one desk's recurring question each suit different teams.
What each needs before the first answer, who builds and maintains it, whether its AI calculates figures, and the first-year cost all in. [The ten questions](/blog/how-to-evaluate-an-analytics-vendor) are a good start.
For the desk that needs to explain why its numbers moved, from the exports it already has, set up within a week, with every figure computed by our tools and checked.