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
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.
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.
You pay by the hour based on the EC2 instance size you run CData Arc on. All seven options bill the same software per hour, so pricing scales with the compute capacity you choose. The t2.medium and t3.medium options run on smaller instances for lighter workloads. The m4 and m5 families (large, xlarge, and 2xlarge) offer larger instances as your processing needs grow. You select the instance that matches your data-integration volume, and hourly charges rise with instance capacity. No upfront commitment applies.
Top-of-mind questions for buyers
What does one hour of billing cover, and what does the software actually do on that instance?
One billed hour covers CData Arc running on one EC2 instance for that hour. Arc is a web application for building data-integration flows. It handles managed file transfer, EDI messaging, data mapping, and back-end integration. You pay per running instance-hour of whichever instance size you select.
Am I charged when the instance is stopped or paused?
Hourly software charges apply only while the instance runs. Fully stopped instances stop accruing software charges. Stopped instances may still incur separate AWS storage fees for attached volumes, but the CData Arc license meters running time only.
If my integration volume grows, do I switch instance sizes automatically or manually?
You choose the instance size yourself; there is no automatic tier jump. To move from a smaller instance like t3.medium to a larger m5 option, you launch the size you need. Hourly charges then reflect the new instance capacity you selected.
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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.
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.
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.
Supports client-side and server-side file transfer for AS2, AS4, SFTP, FTPS, OFTP, and additional major protocols
EDI Document Translation
Translates EDI documents including X12 and EDIFACT standards to and from XML, CSV, JSON, and flat file formats
Visual Workflow Designer
Drag-and-drop workflow designer interface for creating and customizing automated business workflows without code
Encryption and Authentication Standards
Implements modern encryption and authentication standards for data protection across all data formats and transport mechanisms
Multi-System Backend Integration
Connects to SQL-like databases, ERP systems, CRM applications, and REST/SOAP services through unified interface
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
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