Sold by: CData Software
Deployed on AWS
Free Trial
Reliable B2B Connectivity. Codeless Visual Interface. Sleek, Modern EDI.
Overview
CData Arc is a flexible integration platform that dramatically simplifies enterprise data movement.
Easily create and customize your own automated business workflows in Arc's visual drag-and-drop workflow designer. Built on a modern, lightweight web architecture, Arc provides scalable data processing power along with a sleek and intuitive user experience.
Securely Send & Receive Files
Arc's secure, reliable file transport tools ensure your data is delivered safely. Arc supports client-side and server-side for all major file transfer protocols: AS2, AS4, SFTP, FTPS, OFTP, and more.
Simplify Your EDI Integration
Arc seamlessly translates EDI documents to and from XML, CSV, JSON, flat files, and other popular data formats. It supports all major EDI standards: X12, EDIFACT, and more.
Connect to Any Backend
Automate your data storage & retrieval from SQL-like databases, ERP systems, CRM applications, and more - all through the same streamlined UI.
Consume & Publish Custom APIs
Generate dynamic API requests and publish custom API endpoints to easily integrate REST & SOAP services into your data flow.
Feel Secure with State-of-the-Art Cryptography
Arc supports all modern encryption and authentication standards to protect your data. Use Arc to close dangerous security vulnerabilities from legacy systems. No matter what data formats, transport mechanisms, or backend systems you use, Arc provides the tools to bring them together in a reliable centralized solution.
Highlights
- Best-in-class Secure Managed File Transfer (MFT): Drummond-certified for 15+ years, trusted by experts
- Quick & Easy Setup: Unmatched power and flexibility in integrating with other systems. Plug in, configure and go!
- Intuitive Visual Design: Understand your data flow at-a-glance, without needing a dedicated team of engineers
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 10 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
m5.large Recommended | $3.97 |
m5.2xlarge | $4.75 |
m4.xlarge | $4.75 |
t3.medium | $3.21 |
m4.large | $3.97 |
m5.xlarge | $4.75 |
t2.medium | $3.21 |
Dimensions summary
You pay by the hour based on the AWS EC2 instance size you run CData Arc on. The seven options map to different EC2 instance types, so pricing scales with the compute capacity you choose. Smaller instances like t2.medium and t3.medium suit lighter workloads. The m4 and m5 families (large, xlarge, and 2xlarge) offer progressively more compute for higher-volume data integration. You are billed only for the hours each instance runs, with no upfront commitment. Choose the instance size that matches your throughput needs and change it as your workload changes.
Top-of-mind questions for buyers
Each dimension maps to an AWS EC2 instance type with set CPU and memory. The t2.medium and t3.medium options carry fewer resources for lighter flows. The m4 and m5 large, xlarge, and 2xlarge options add more compute and memory to process higher data volumes and more concurrent integration flows.
You pay the hourly software rate only while the instance runs. A fully stopped instance stops accruing hourly software charges. Underlying AWS resources like attached storage may still incur separate AWS fees while the instance is stopped, but the CData Arc software meters running hours only.
Cost is driven by the instance size you choose and the hours it runs. To handle more concurrent flows or larger data volumes, you move to an instance type with more compute, such as an m5 xlarge or 2xlarge. Your hourly rate rises with the larger instance, and you can switch as needs change.
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Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
- In your web browser, type https://<this_instance_ip_address> . If the connection fails then you should either try again in a few minutes, or double check the Security Group (EC2 Dashboard > Network & Security > Security Groups) assigned to this image, ensuring that HTTPS is added and that your IP address is allowed.
- If you get a security warning in your browser, select the option to proceed. The browser is simply alerting you to the fact that the SSL certificate used by the site is self-signed (not signed by a Certificate Authority), and thus untrusted.
- To login, use "admin" for the username, and the instance id for the password, prefixed with "Arc26:".
- Once logged in, specify a license in the Settings page, and you will be able to transfer files from/to CData Arc, using the intuitive controls provided.
For more details, please refer to https://docs.arc.cdata.com/26.3/self-hosted/en/getting-started/installation/cloud-marketplaces#cloud-marketplaces
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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By CData Software
By Dataddo
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AI generated from product descriptions
Secure File Transfer Protocols
Supports client-side and server-side file transfer for AS2, AS4, SFTP, FTPS, OFTP, and additional major protocols with secure and reliable transport mechanisms.
EDI Document Translation
Translates EDI documents to and from XML, CSV, JSON, and flat files, supporting major EDI standards including X12 and EDIFACT.
Visual Workflow Designer
Provides drag-and-drop workflow designer interface for creating and customizing automated business workflows without requiring code.
Multi-System Backend Connectivity
Enables automated data storage and retrieval integration with SQL-like databases, ERP systems, CRM applications, and other backend systems through unified interface.
API Integration and Cryptography
Supports generation of dynamic REST and SOAP API requests, custom API endpoint publishing, and modern encryption and authentication standards for data protection.
Data Source Connectivity
Supports integration with 250+ data sources and 50+ destinations including applications, data warehouses, data lakes, and dashboarding tools
Data Integration Patterns
Supports ETL, ELT, reverse ETL, and database replication patterns for bidirectional data movement between sources and destinations
No-Code Integration Platform
No-code data integration interface enabling data pipeline configuration and deployment without requiring custom code development
AWS Data Warehouse Support
Native integration with AWS data warehouse and storage services including Redshift, S3, Aurora, and RDS
Security and Compliance Certifications
SOC 2 Type II certified and compliant with ISO 27001 and major global data privacy regulations
Codeless Visual Development Interface
Drag and drop visual UI for building data integrations without requiring coding, with pre-built templates and integration wizards to accelerate development
Parallel Data Integration Architecture
Highly scalable parallel data integration architecture with ETL and ELT pushdown optimization patterns for maximum throughput and performance into Amazon Redshift
Multi-Source Connectivity
Native connectors supporting hundreds of applications and data sources across on-premises and cloud environments including AWS services (Redshift, S3, RDS, Aurora) and enterprise applications (Salesforce, Workday, Oracle, SAP, ServiceNow)
FedRAMP Compliance
FedRAMP authorization with Integration Base, Data Integration service, and tiered connectors (Tier B, C, D) supporting regulated government cloud deployments
Data Integration and Synchronization
Capabilities for developing, running, and scheduling data integration flows, synchronization tasks, and data warehousing and data lake initiatives
Standard contract
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