BlackLine Journal Entry

Name: BlackLine Journal Entry
Brand: BlackLine
Rating: 4.5 (2022 reviews)

Leader

The more AI finance deploys, the more trust finance needs.

Est 2001|Valuation $2B|Raised $754.2M|34 Ref Customers

LinkedIn 204K|Website|Web traffic 4K|FTEs 1,850|HQ Woodland Hills, California, US

MarketsERP

Platform CoversJournal Entry Management

01Competitive Landscape

Where alternatives excel

- **SAP-native workflows:** SAP documentation supports company-code and amount-based verification, including multiple approval steps. For a homogeneous SAP estate, configuring native controls may avoid an additional integration layer. SAP is not automatically cheaper: existing entitlements and implementation costs still require review. (SAP product documentation) - **FloQast:** Its pricing model explicitly avoids per-user charges, potentially benefiting broad accounting-team participation. Its current Close AI offering includes journal posting and high-volume AI matching; describing FloQast as only a checklist product is outdated. Whether its specific journal coverage is superior requires a scenario-based demonstration. (Vendor pricing and product pages) - **Trintech:** A reviewer stated, “BlackLine does not match reconNET for high volume transaction capabilities.” The comparison concerned ReconNET rather than proving Cadency universally outperforms BlackLine. It is a reason to benchmark specialized retail matching workloads, not a general winner declaration. (Third-party review sites and customer reviews) - **BlackLine:** Its combination of journal workflow with reconciliation and matching can be relevant when those applications are already deployed. That connected functionality is less relevant when buying only a standalone journal module. (Vendor product overview and feature pages)

Adoption trends and market share

BlackLine’s reported customer count declined modestly over the referenced period, while Q2 revenue showed modest year-over-year growth. Reported dollar-based net revenue retention declined slightly across those dates. This is mixed evidence: revenue growth should not be equated with accelerating customer acquisition, and falling customer count does not identify Journal Entry churn or its cause. No independently verified journal-automation market-share percentage was found. (Official investor filings and earnings materials)

	BlackLine Journal Entry	Trintech Cadency	FloQast	SAP S/4HANA native workflows
Starting price	Custom quote; no verified public dollar tier	Custom quote; public price not verified	Custom quote; no per-user fees advertised	Depends on existing SAP contract and implementation; incremental cost must be confirmed
Best for	Multi-ERP journal governance and existing BlackLine environments	Enterprise close and journal governance	Integrated close-team workflow and automation	Predominantly SAP environments
Key strength	Journals connected with reconciliation and matching evidence	Broad enterprise financial-close coverage	Current Close AI includes matching, reconciliations, and posting	Journal verification and threshold routing inside the ERP
Key weakness	Configuration, usability, integration effort, opaque TCO	Enterprise-project overhead; price transparency limited	Exact ERP and complex-journal coverage needs validation	Not an ERP-neutral orchestration layer
Posting/approval	Templates, validation, configurable approval, ERP posting	Journal management and approval capabilities	Automatic journal posting advertised in Close AI	Multi-step verification and posting workflows documented

01Competitive Landscape

Where alternatives excel

SAP-native workflows: SAP documentation supports company-code and amount-based verification, including multiple approval steps. For a homogeneous SAP estate, configuring native controls may avoid an additional integration layer. SAP is not automatically cheaper: existing entitlements and implementation costs still require review. (SAP product documentation)
FloQast: Its pricing model explicitly avoids per-user charges, potentially benefiting broad accounting-team participation. Its current Close AI offering includes journal posting and high-volume AI matching; describing FloQast as only a checklist product is outdated. Whether its specific journal coverage is superior requires a scenario-based demonstration. (Vendor pricing and product pages)
Trintech: A reviewer stated, “BlackLine does not match reconNET for high volume transaction capabilities.” The comparison concerned ReconNET rather than proving Cadency universally outperforms BlackLine. It is a reason to benchmark specialized retail matching workloads, not a general winner declaration. (Third-party review sites and customer reviews)
BlackLine: Its combination of journal workflow with reconciliation and matching can be relevant when those applications are already deployed. That connected functionality is less relevant when buying only a standalone journal module. (Vendor product overview and feature pages)

Adoption trends and market share

	BlackLine Journal Entry	Trintech Cadency	FloQast	SAP S/4HANA native workflows
Starting price	Custom quote; no verified public dollar tier	Custom quote; public price not verified	Custom quote; no per-user fees advertised	Depends on existing SAP contract and implementation; incremental cost must be confirmed
Best for	Multi-ERP journal governance and existing BlackLine environments	Enterprise close and journal governance	Integrated close-team workflow and automation	Predominantly SAP environments
Key strength	Journals connected with reconciliation and matching evidence	Broad enterprise financial-close coverage	Current Close AI includes matching, reconciliations, and posting	Journal verification and threshold routing inside the ERP
Key weakness	Configuration, usability, integration effort, opaque TCO	Enterprise-project overhead; price transparency limited	Exact ERP and complex-journal coverage needs validation	Not an ERP-neutral orchestration layer
Posting/approval	Templates, validation, configurable approval, ERP posting	Journal management and approval capabilities	Automatic journal posting advertised in Close AI	Multi-step verification and posting workflows documented