Sold by: Quadrant TechnologiesÂ
Deployed on AWS
Quick Launch
Quadrant has automated end to end Database migration process. Be it to same database or change to any database platform, be it on-prem to cloud or cloud to cloud, QMigrator can handle all. Qmigrator provides automated schema conversion, code conversion, testing, validation and deployment under one suite reducing 75% migration time and 60% migration cost.
Overview
Pre-requisite: Register for the onboarding process to receive details about QMigrator required for further setup. https://us-east-1.console.aws.amazon.com/marketplace/search/listing/prodview-busokobxmr7i6Â
Overview: Freedom from Licensing 2-3x Faster
Reducing database licensing costs is a priority for many IT teams. However, the complexity and scale of database migrations, especially those involving stored procedures, often make it challenging. While tools like the AWS Schema Conversion Tool (SCT) automate part of the process, they still require expert manual intervention, extending timelines. Q-Migrator is a web-based tool for migrating on-prem or cloud databases such as Oracle/SQL Server to Open-source databases like PostgreSQL / MySQL to Amazon Aurora.
It takes care of Storage Object & Code Object Conversion, Data Masking, Migration and Validation, Workload Execution, Functional & Performance Testing.
Homogenous Migrations: SQL Server, MySQL, PotstgreSQL to PaaS Heterogeneous Migrations: Oracle/SQL Server/DB2/Sybase to PostgreSQL/MySQL No SQL Migrations: AWS DynamoDB & DocumentDB; Azure CosmosDB; GCP FireStore & Bigtable; MongoDB AtlasDB ETL and Workloads Remediation: Azure ADF & SSIS; AWS StepFunctions, Fabric Glue & Lambda; GCP DataFlow, Dataproc & CloudFunctions; DataStage; Ab Initio; Informatica
Salient features:
Syntax Synergy Score: Convert up to 80% of your code using QMigrator Stream Acceleration Engine: Data Transfers from Oracle to Postgres up to 10 TB per day Validation Vanguard Engine: Ensures quality and schema of migrated code. Turbo Tuning: Identify performance bottlenecks and tune them accordingly Deployment: Achieve faster deployments **Benefits: **
Infrastructure Cost: Up to 80% savings migrating to AWS Timeline: Up to 75% faster migration using QMigrator Migration Cost: Up to 60% $ savings comparison to the traditional approach Differentiators:
Many of migration tools in the marketplace handle data migration where as Q-Migrator performs Code migration, Data migration, Functional and Performance Testing. Production code changes are tracked and automatically applied to migration project. QMigrator handles initial data load up to 10TB per day, CDC up to 1 TB per day and it also handles reverse CDC for roll back. Database validation covers DB objects validation, Data validation and up to 100% data compare between source and target. Continuously enhanced with every migration issue encountered and every migration performed by the tool.
Highlights
- QMigrator streamlines the database migration process by providing automated assessment reports which enables quick decision making and delivering detailed migration plans with minimal disruption.
- QMigrator accelerates database migrations by automating code conversion and testing and also reducing migration time by approximately 75 percent from months to weeks
- 80 percent cost savings in migration services cost on cross database migration
Details
Sold by
Delivery method
Supported services
Delivery option
Qmigrator Helm
Latest version
Operating system
Linux
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
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.
Quick Launch
Leverage AWS CloudFormation templates to reduce the time and resources required to configure, deploy, and launch your software.
Pricing
Pricing is based on a fixed subscription cost. You pay the same amount each billing period for unlimited usage of the product. Pricing is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
- $4,000.00/month
Vendor refund policy
As per defined monthly cost, Refund applicable as sellers conditions
Legal
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)Â .
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
Qmigrator Helm
Supported services: Learn moreÂ
- Amazon EKS
Helm chart
Helm charts are Kubernetes YAML manifests combined into a single package that can be installed on Kubernetes clusters. The containerized application is deployed on a cluster by running a single Helm install command to install the seller-provided Helm chart.
Version release notes
Fixed API breaking changes
Additional details
Usage instructions
Prerequisites
- Set up an EFS storage by following the AWS EFS storage creation guide .
- Ensure the EFS is attached to the same network as your EKS cluster.
Deployment Steps
-
Obtain the following project details from Quadrant, which you will receive via email after subscribing as a subscriber user:
- projectID
- projectName
-
Generate and configure the following Kubernetes secrets for Qmigrator:
- Use the following command to create a Kubernetes secret for all required inputs (PROJECT_ID, POSTGRES_PASSWORD, PROJECT_NAME, REDIS_PASS) within the specified namespace:
Replace <project_id>, <postgres_password>, <project_name>, <redis_password>, and <namespace> with your actual values.
- To configure Airflow, create the following Kubernetes secrets:
Replace <airflow_password>, <POSTGRES_PASSWORD>, and <namespace> with your actual values.
-
During deployment, ensure that the names of the secrets created above (qmigrator-secrets and airflow-secrets) are correctly referenced in your Kubernetes manifests or Helm charts. For example:
- Use secret.secretName to reference qmigrator-secrets.
- Use airflow.secret.secretName to reference airflow-secrets.
-
Specify the efs.fileSystemId obtained during the EFS setup in your deployment configuration to enable proper storage integration.
Post-Deployment Steps
- Set up ingress and gateway by referring to the gateway API example .
- Access the application using the domain configured in the ingress or gateway.
Official Qmigrator GitHub Repository
Visit the Qmigrator GitHub repository for additional resources and examples.
Resources
Vendor resources
Support
Vendor support
Send email to migrations@quadranttechnologies.com for any support. Contact us through our website at https://qmigrator.ai/contact Contact Number--+1 (425) 2961122
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.
Similar products
Oracle to PostgreSQL Migration: 4 Weeks Proof of Concept
By Quadrant Technologies
This is a Pre-Migration Proof of Concept to test the Migration process and to get insights of the automated features of our in-house tool QMigrator
QMigrator On-Boarding
By Quadrant Technologies
QMigrator On-Boarding transforms what was once a complex, manual, and error-prone setup process into a streamlined, secure, and user-friendly experience.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.