Cybage’s Datatrans: AI–Powered Data Ingestion Accelerator
Cybage Software Inc. · Marketing & Sales
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Cybage Datatrans enables automated ingestion of batch files into enterprise data platforms using a fully serverless, AWS-native architecture. Files are ingested through Amazon S3 as the default source and processed using AWS Glue and AWS Lambda for validation and transformation. Workflow orchestration is managed using Amazon EventBridge and AWS Step Functions, with processed data delivered to Amazon RDS by default. Understanding the diverse needs of our clients, we’ve designed a highly configurable framework that can easily be extended to support additional sources, as well as various destinations including Amazon Redshift, Snowflake, BigQuery, and data lakes.
The user-friendly web interface lets users effortlessly configure file formats, schedules, schema mappings, and destinations, all without complex coding. We have incorporated enterprise security controls, including IAM-based access management, AWS KMS encryption, private VPC endpoints, and audit logging through AWS CloudTrail. Datatrans helps reduce manual effort, lower ETL platform costs, and accelerate time-to-insight through automated ingestion workflows.
Highlights
Highlighted by the publisher on AWS Marketplace.
AI-augmented mapping and batch processing using Amazon Bedrock, AWS Glue, and AWS Lambda to automate schema mapping and anomaly detection.
Serverless, AWS-native framework supporting flexible source and destination configurations.
Configurable integrations including Amazon S3, SFTP, APIs, Amazon RDS, Amazon Redshift, Snowflake, and more. Built-in observability with Amazon CloudWatch, AWS X-Ray, and Amazon SNS for pipeline monitoring and alerting. Enterprise-grade security using IAM, AWS KMS (including customer-managed keys), AWS Secrets Manager, and AWS CloudTrail
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