
DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.
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Plauti builds native data-quality applications that run entirely within your CRM environment. No data is sent to external servers or third-party processing services, and there’s no parallel infrastructure to maintain. Your data stays where it belongs: under your control, behind your security perimeter, governed by your own access model.
For Salesforce, Plauti addresses the full lifecycle of data quality:
> Prevention at entry: Real-time duplicate detection alerts users as they type, blocking bad data before it’s created.
> Detection from external sources: Identify duplicates coming from integrations, imports, and APIs, so data quality doesn’t degrade over time.
> Batch remediation at scale: Run powerful batch jobs to find, review, and merge existing duplicates, with full audit trails for compliance and governance.
> Contact data verification: Validate email addresses and phone numbers before they’re saved to reduce bounces and failed outreach.
All processing runs natively on Salesforce infrastructure. Plauti respects your existing profiles, roles, and permission sets, so there’s no separate login, no data synchronization layer, and no new security surface to harden.
For Microsoft Dynamics 365, Plauti provides similar control over duplicates with real-time alerts, API-driven detection, batch processing, and cross-entity matching. It’s designed for CRM admins and data stewards who need direct, immediate control over data quality without waiting on developers, external consultants, or long IT ticket queues.
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Ignition SCADA
Ignition SCADA from Inductive Automation®, combines unlimited licensing, instant web-based deployment and the industry-leading toolsets for supervisory control (SCADA) -- all in one open, scalable, universal platform. Ignition is the new SCADA. It solves all the major problems of old SCADA. Ignition allows your business to easily manage its processes and track, display, analyze, and report on all data. Ignition SCADA software includes a complete set of data acquisition tools, including OPC UA to connect almost any PLC and seamless connections to any SQL database. Ignition also converts any SQL database into an industrial historian. It also connects to IIoT devices via MQTT.
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Alibaba Cloud DataHub
DataHub offers a range of SDKs and APIs, along with numerous third-party plugins like Flume and Logstash. Importing data into DataHub is a streamlined process that enhances efficiency. The DataConnector module ensures that the imported data is synchronized with downstream storage and analysis systems in real-time, including services like MaxCompute, OSS, and Tablestore. Moreover, users can import diverse data types generated by applications, websites, IoT devices, or databases directly into DataHub in real-time. With DataHub, data management can be conducted in a cohesive manner. Additionally, users have the capability to send data to downstream systems, including analytical and archiving systems. By doing so, you can establish a robust data streaming pipeline that maximizes the value extracted from your data. This integration not only simplifies workflows but also enhances the overall data processing experience.
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