Sold by: Knights Analytics
Deployed on AWS
Alchemia automatically transforms fragmented, inconsistent enterprise data into a clean, connected knowledge graph, creating a high-fidelity inter-operating data foundation to accelerate and improve the delivery of data products and insights.
The Alchemia platform delivers knowledge graph enabled data management, providing a semantic intelligence layer that unifies data across warehouses, lakes, CRMs, and operational systems.
Overview
What Is Alchemia?
Alchemia, built by Knights Analytics, uses knowledge graphs as a semantic backbone for enterprise data management. It enables organizations to reconcile fragmented data sources into a unified, trusted view without replacing existing systems. The platform creates an interoperable intelligence layer that resolves entities and relationships, aligns schemas, and maintains meaning across systems and taxonomies.
How It Works
Alchemia ingests data from warehouses, data lakes, CRMs, and operational systems, then applies probabilistic alignment and a variety of matching techniques to:
- Resolve entities - Automatically detect and merge duplicate records across sources using semantic models
- Align schemas - Fuse disparate schemas and ontologies without manual remapping as data sources evolve
- Enrich continuously - Detect inconsistencies, resolve duplicates, and validate relationships as new data arrives
- Maintain lineage - Track full provenance of every entity, relationship, and decision for governance and auditability
Unlike traditional MDM or data lake architectures, Alchemia adapts to changing schemas and evolving business structures without brittle manual mappings.
Key Capabilities
- Knowledge Graph-Driven Entity Resolution - Reconcile entities, products, concepts, and relationships across systems using probabilistic matching and semantic models
- Adaptive Schema Fusion and Taxonomy Alignment - Align and evolve schemas and ontologies automatically as data sources change
- Native Governance and Lineage - Full traceability of every entity, relationship, and decision with built-in provenance tracking
- Continuous Data Enrichment - Automatically detect inconsistencies, resolve duplicates, and validate relationships in real time
Use Cases
- Customer 360 - Unify customer records across CRMs, billing systems, and support platforms into a single golden record
- Complex Hierarchy Management - Reconcile organizational, product, or supplier hierarchies across multiple ERP and operational systems
- Cross-System Reconciliation - Align data across warehouses, lakes, and operational systems at enterprise scale
Integration and Deployment
Alchemia is designed to sit as a semantic layer across your existing data infrastructure, connecting to warehouses, data lakes, CRMs, and operational systems. The platform is lightweight to implement, with organizations achieving final outcomes in weeks rather than months.
About Knights Analytics
Knights Analytics builds AI-powered data management solutions that simplify how enterprises curate, connect, and govern their data. The Alchemia platform features a multi-type entity framework designed for scalability across complex enterprise environments.
Getting Started
To explore how Alchemia fits your data environment, book a demo with the Knights Analytics team to discuss your specific use case and see the platform in action.
Highlights
- Knowledge Graph Driven Entity Resolution: Automatically reconcile entities, products, concepts and relationships across systems using probabilistic matching and semantic models.
- Adaptive Schema Fusion & Taxonomy Alignment: Align and evolve schemas and ontologies without manual remapping as data sources change.
- Time to Value: Lightweight to implement. Final outcomes in weeks, not months.
Details
Sold by
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
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Introducing multi-product solutions
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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
Pricing is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost 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.
- Monthly subscription
- $100,000,000.00/month
Dimension | Cost/hour |
|---|---|
c8i.4xlarge Recommended | $100,000.00 |
c8a.16xlarge | $100,000.00 |
hpc8a.96xlarge | $100,000.00 |
x8i.24xlarge | $100,000.00 |
c5n.9xlarge | $100,000.00 |
r8i-flex.2xlarge | $100,000.00 |
r6a.8xlarge | $100,000.00 |
g3s.xlarge | $100,000.00 |
r3.4xlarge | $100,000.00 |
m4.xlarge | $100,000.00 |
Dimensions summary
You pay by the hour for Alchemia, based on the AWS EC2 instance type you run it on. Each dimension maps to a specific instance size, so pricing scales with the compute, memory, storage, or accelerator capacity you choose. Smaller instances cost less per hour; larger memory-optimized, compute-optimized, storage-optimized, or GPU and accelerator instances cost more. You are billed only for the hours you use, with no upfront commitment. Pick the instance that fits your data volume and processing needs, then adjust as your workload changes.
Top-of-mind questions for buyers
Each dimension maps to one running AWS EC2 instance of a named type. You pay for one instance-hour of Alchemia software running on that instance size. Instance families differ in compute, memory, storage, and accelerator capacity, so the unit reflects the hardware profile you select for your workload.
Hourly software charges apply only while the instance runs. A stopped or terminated instance stops accruing Alchemia charges. Underlying AWS resources, such as attached storage, may still incur separate AWS fees. The software meter counts running instance-hours only, so paused workloads pause the software cost.
The software capabilities stay the same across instance types. Larger instances give more compute, memory, storage, or accelerator capacity for tasks like entity matching, merging, and graph queries. Choose based on your data volume and processing speed needs; the price per hour scales with the instance size you pick.
www.knightsanalytics.com
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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
- Important: Entity Resolution
- Important: Configuration management via the UI
- Important: Single Sign-on for AWS Cognito (configurable via UI)
- Important: Mapping without profiling
- Important: Runnable mapping
Additional details
Usage instructions
Instructions to get into the UI
- Start the Alchemia VM
- Use a web browser to access the application at http://<EC2_Instance_Public_DNS> - click open address on the Public DNS EC2 instance summary page. Note that Alchemia will run at http, so without TLS. It's up to the customer to provide proper load balancing and TLS offloading.
- Create your admin account by providing your name, email and password.
- Enter a valid licence so the product can be used. The licence to install will be provided via email.
Documentation can be found at https://docs.knightsanalytics.com . You'll be sent the login details to these docs.
Operations on the VM
- Login into the VM from either the EC2 console, or via SSH (username ec2-user). ** Preferably use aws ssm start-session --target <instanceid> or the AWS console with ec2-user.
- All Alchemia service run in podman-compose. An alias is available alchemia-compose. To run commands on it, always use sudo. A few examples: -> sudo alchemia-compose logs -> sudo alchemia-compose logs alchemia-orchestrator --tail 100 -> usage: sudo alchemia-compose
Asses health
- Navigate to your Amazon EC2 console and verify that you're in the correct region.
- Choose Instance and select your launched instance.
- Select the server to display your metadata page and choose the Status checks tab at the bottom of the page to review if your status checks passed or failed.
- Login into the VM and get detailed information via the alchemia-compose commands (see above)
Locations on the VM
- Config on Alchemia is stored in /alchemia, note there is also a hidden .env file here.
- Databases are stored in /sql
- Input data needs to be dropped in /input
- Backups are stored under /backup
- State is stored under /state
Support
Vendor support
Contact Support
For support inquiries, technical assistance, or to book a demo, contact the Knights Analytics team at hello@knightsanalytics.com .
The Knights Analytics team can assist with platform configuration, data source connectivity, troubleshooting, and general product questions. To schedule a guided demonstration of Alchemia, reach out via email to arrange a call with the team.
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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