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GE Vernova Proficy Plant Applications vs Kamu

GE Vernova Proficy Plant Applications

gevernova.com

Kamu

kamu.dev

Side by side

FigureGE Vernova Proficy Plant ApplicationsKamu
Price from$5,800/moFree
Free plan—Yes
Free trial——
Open source——
WebYesYes
WindowsYesYes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
APIYesYes
Self-hostedYesYes
Plans published41
Spec score · Data Fabric Software8.7 (#2)8.6 (#3)
DeploymentThe product can run in private or public cloud environments, on premises, or in a combination of those models.Kamu Node is a scalable server implementation of ODF, deployable as Kubernetes applications in a distributed environment.
IntegrationsThe product is designed to connect with ERP, SCADA, MES and IoT systems through standard protocols and APIs.Kamu says it integrates Spark, Flink, Arroyo, and Datafusion as plugins, allowing different engines in one pipeline.
SupportGE Vernova offers Proficy support plans combining technical support, maintenance, education and customer-success services; its support promotion states 24/7 emergency coverage and 93% overall satisfaction.The maker directs users to GitHub issues or Discord for feedback and questions.
What it doesProficy Plant Applications is a manufacturing operations management and MES system for process, discrete and mixed manufacturers that collects and analyzes production data.Kamu CLI is a command-line tool for managing and verifiably processing dynamic structured data.

Plans

GE Vernova Proficy Plant Applications

  • Proficy Smart Factory OEE by line$5,800 a month
  • Proficy Smart Factory MES by line$7,000 a month
  • Proficy Smart Factory Software Suite subscriptionPriced on request
  • Proficy Smart Factory subscription (Plant Applications)Priced on request

GE Vernova Proficy Plant Applications pricing →

Kamu

  • Kamu CLIFree

Kamu pricing →

In their own words

GE Vernova Proficy Plant Applications

GE Vernova Proficy Plant Applications is a Manufacturing Operations Management and Manufacturing Execution System solution for process, discrete, and mixed manufacturers. It supports large enterprises, multi-site operations, and global manufacturing, with deployment in private or public cloud and on-premises environments. Its modules cover efficiency management, production management and tracking, quality management, and batch analysis. Efficiency Management tracks OEE, KPIs, downtime, waste, production counts, MTBF, and MTTR. Production Management provides product-level traceability, auditable genealogy, and production reporting. Quality Management includes real-time trends, statistics, SPC, notifications, and support for 21 CFR Part 11. Batch Analysis supports ISA-88 recipe analysis for formulations, procedures, and equipment. A low-code Data Flow Editor supports MES-ERP integration and includes approximately 20 out-of-the-box messages. Dozens of supplied screens can be customized without code. Browser interfaces provide real-time interaction on iPads, Android tablets, and Windows tablets. The software is used in food and beverage, consumer packaged goods, automotive, pharmaceutical, aerospace, chemical, and heavy-equipment manufacturing. 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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