CData Arc
API management tools
Enterprise service bus (ESB) software
Electronic data interchange (EDI) software
Managed file transfer (MFT) software
Data integration tools
Cloud data integration software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is CData Arc
CData Arc is an integration and data exchange platform used to move, transform, and route data between business applications, partners, and internal systems. It supports common B2B and application-integration patterns such as EDI processing, managed file transfer, API-based exchanges, and message-based workflows. The product is typically used by integration teams that need to operationalize recurring data flows with monitoring, error handling, and protocol support. It is commonly deployed as a server-based runtime with configurable connectors and workflow components.
Broad protocol and format support
Arc supports multiple integration styles in one runtime, including file transfer protocols, API interactions, and B2B document exchange patterns. This reduces the need to stitch together separate tools for EDI, MFT, and application integration. It is well-suited to environments where integrations must handle both modern APIs and legacy file-based exchanges. The breadth is useful for standardizing integration operations across teams.
Operational monitoring and control
Arc provides centralized visibility into flows, execution status, and failures, which helps teams operate integrations in production. It supports retry and error-handling patterns that are important for partner and file-based exchanges. This operational focus aligns with needs that are often underserved by API design/testing tools. It can help reduce time spent diagnosing failed transfers and document-processing issues.
Workflow-based integration design
Arc uses configurable components to build repeatable integration workflows without requiring every step to be custom-coded. This can speed up delivery for common patterns like routing, transformation, validation, and partner-specific handling. The approach is practical for teams that need to maintain many similar integrations over time. It also supports governance through consistent patterns and reusable configurations.
Not an API-first platform
While Arc can participate in API-based integrations, its core strengths are broader data exchange and operational integration rather than full lifecycle API management. Organizations that need advanced API gateway features, developer portals, or deep API analytics may require additional tooling. This can increase architectural complexity when API management is a primary requirement. Teams should validate coverage for authentication, throttling, and API governance needs.
Learning curve for complex flows
Building and operating multi-step workflows that span EDI, transformations, and partner-specific exceptions can require specialized integration knowledge. Teams may need time to establish standards for mapping, error handling, and deployment practices. This is especially true when migrating from ad hoc scripts or disparate tools. The initial setup effort can be non-trivial for complex B2B ecosystems.
Connector needs vary by system
Integration success depends on having the right connectivity for each application, database, or partner endpoint. Some environments may require additional configuration, custom work, or complementary products to cover niche systems. This is a common constraint in the integration category, but it can affect time-to-value. Buyers should confirm required endpoints, data formats, and authentication methods are supported for their use cases.
Plan & Pricing
Annual / subscription licensing (example Japan list prices shown on official CData Arc site):
| Plan | Price (example, Japan) | Key features & notes |
|---|---|---|
| Standard (On-Premise) | ¥800,000 per year + Add-On | Core, MFT & EDI Connectors; Mapping & Automation; Serial Processing; CPU core limit: 4; MFT connectors: up to 10; EDI connectors: up to 2. |
| Standard (Self-Hosted Cloud) | ¥960,000 per year + Add-On | Same feature set as On‑Prem, deployed on customer cloud (AWS/Azure/GCP/OCI). |
| Standard (Arc Cloud / CData-managed) | ¥1,200,000 per year + Add-On | CData-managed (Arc Cloud) hosting. |
| Professional (On-Premise) | ¥1,600,000 per year + Add-On | All Standard features plus Database connectors, Parallel Processing, API Access; CPU core: 4+ (Add‑On available); MFT connectors: up to 50; EDI connectors: up to 10. |
| Professional (Self-Hosted Cloud) | ¥1,920,000 per year + Add-On | Same Professional feature set for customer cloud deployments. |
| Professional (Arc Cloud / CData-managed) | ¥2,400,000 per year + Add-On | CData-managed hosting for Professional edition. |
| Enterprise (On-Premise / Self-Hosted / Arc Cloud) | Custom pricing / Contact sales | All Professional features plus Application Connectors, Enterprise Reporting, AD/SSO; unlimited / 50+ MFT & EDI as needed; Enterprise is quoted individually. |
Usage-based / on-demand (cloud hourly pricing) — official on-demand hourly starting prices (listed on vendor site):
Pricing model: Pay-as-you-go (on-demand hourly) Free tier/trial: Free 10‑day trial (on-demand). Example costs (starting at): Standard – $1.61 per hour; Professional – $3.21 per hour; Enterprise – $4.89 per hour. Notes: On-demand hourly listings include a Free 10 Day Trial and links to AWS/Azure marketplace images. Annual/multi-year licensed deployments are sold by quote; some vendor pages show Japan-specific example annual prices (above).
Seller details
CData Software, Inc.
Chapel Hill, North Carolina, USA
2006
Private
https://www.cdata.com/
https://x.com/cdata
https://www.linkedin.com/company/cdata-software/
