Double vs novacly

Double is month-end close and practice management software for accounting firms and internal finance teams. Its close workflow brings tasks, client and teammate communication, and close progress into one view. Listed AI tools include AI Bank Feeds, AI Transactions and Ask Double, along with automations for transaction handling and journal entries. Double integrates with QuickBooks Online, Xero, Sage and NetSuite, with two-way sync described for QuickBooks Online and Xero. Other listed integrations include Ping, Abacor and Zapier. The Client Portal app for iOS and Android lets clients ask and answer questions, upload receipts and view financials; Double is also available on the web. Listed close capabilities include audit trails, task dependencies, approval workflows, multi-entity close and recurring templates. Double says data is encrypted at rest and in transit, supports two-factor authentication, and does not sell user data or client financial information. Its Trust Center lists SOC 2 Type II reports for 2023, 2024 and 2025, plus GDPR and CCPA compliance resources. Accounting firm subscriptions require at least one connected client, billed monthly.

Novacly is a financial close, consolidation, reporting and planning platform for finance teams managing 5–50+ entities. Close workflows include task templates, dependencies, deadlines, team assignments, status dashboards and activity audit trails. The platform imports trial balances from CSV, Excel or API sources and supports direct, split, formula and bypass transformation rules. Reports can be selected by entity, period, scenario and layer, filtered by dimensions, drilled down to source transactions, and exported to Excel or PDF. Planning covers driver-based plans, rolling forecasts, actuals-based seeding, cost allocations, and segment submission and approval workflows. An Excel add-in provides 11 custom formulas for retrieving financial data and refreshing it from Excel. AI can suggest account mappings, produce variance commentary, answer natural-language data queries and match intercompany items; users review and decide on its outputs. The maker says data is encrypted at rest with AES-256-GCM and in transit using TLS, with tenant isolation through PostgreSQL Row-Level Security. The product is in beta and has not completed formal compliance audits; the maker advises against using it as a system of record until certifications are achieved.