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Amorphic Data Platform vs Kamu

Amorphic Data Platform

cloudwick.com

Kamu

kamu.dev

Side by side

FigureAmorphic Data PlatformKamu
Price from—Free
Free plan—Yes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
APIYesYes
Self-hostedYesYes
Plans published11
Spec score · Data Fabric Software7.6 (#10)8.6 (#3)
CompanyCloudwick says it was founded in 2010 and lists its headquarters as Silicon Valley, USA, at 39899 Balentine Drive, Suite 218, Newark, California.The site identifies the company as Kamu Data Inc.
DeploymentAmorphic is deployed directly in the customer's AWS account, where the vendor says customer data, metadata, and encryption keys remain under the customer's control.Kamu Node is a scalable server implementation of ODF, deployable as Kubernetes applications in a distributed environment.
IntegrationsThe platform lists Amazon SageMaker, Bedrock, OpenSearch, and Kendra integrations, plus zero-ETL connectors for AI notebooks and BI tools.Kamu says it integrates Spark, Flink, Arroyo, and Datafusion as plugins, allowing different engines in one pipeline.
SecurityCloudwick says it holds SOC 2 Type II and HIPAA attestations and encrypts data in transit with TLS and at rest with AES-256.The CLI installation guide warns that sudo-less Docker access can expose the filesystem with root privileges and recommends rootless Podman as an alternative.
SupportCloudwick offers professional and managed services, hands-on training, and a support portal for technical updates and communication.The maker directs users to GitHub issues or Discord for feedback and questions.

Plans

Amorphic Data Platform

  • Amorphic Data PlatformPriced on request

Amorphic Data Platform pricing →

Kamu

  • Kamu CLIFree

Kamu pricing →

In their own words

Amorphic Data Platform

Amorphic Data Platform is a cloud-native data and automation platform delivered as a service through AWS. It combines ingestion, transformation, governance, storage, and AI capabilities, and runs directly in a customer’s AWS account. Cloudwick says customer data, metadata, and encryption keys stay under the customer’s control. The platform combines information from teams, systems, and formats, using entity resolution to create unified views of people, cases, or other entities. Automated cataloging, metadata tags, lineage tracking, and role-based dataset access support organization and governance. Pipelines can begin with files, streams, or APIs. AI functions include role-based access, PII controls, document processing, and vector indexing for retrieval-augmented generation and question answering. Integrations include Amazon SageMaker, Bedrock, OpenSearch, and Kendra, plus zero-ETL links for AI notebooks and business intelligence tools. Version 3.0 adds CI/CD, column-level versioned lineage, role-based views, templates, and centralized source management. Pricing is on request.

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Kamu

Kamu is a data fabric for accountable data supply chains and collaborative processing across organizational boundaries. Its free Kamu CLI manages and verifiably processes structured data, and the maker says it can be used without an account, credit card, or cloud subscription. Kamu records data history and transformation code so users can trace where datasets came from and verify how results were produced. SQL-based ETL pipelines can use processing engines including Flink, Spark, and DataFusion; ingestion options include Debezium, web polling, MQTT brokers, and blockchain logs. Datasets can be explored through an embedded SQL shell, Jupyter notebooks, an embedded web interface, and BI tools such as Apache Superset. Open Data Fabric formats and protocols enable exchange through conventional or decentralized storage. Kamu Node is the server counterpart, deployable as Kubernetes applications in a distributed environment. The CLI works on Linux, macOS, and Windows with WSL2. Documentation cautions that Kamu is not suited to high-frequency, high-volume cases, though it may suit insights derived from such data.

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