Best Machine Learning Data Catalog Software - Page 6

Pentaho Data Catalog

Pentaho Data Catalog changes how your business discovers and manages data, ensuring seamless scalability across all data types and volumes. Simplify data observability with a unified business glossary and advanced metadata management to enhance lineage, trust, and quality. Embrace a smarter way to handle your data, making it easier to search, validate, and derive insights, all tailored to your unique business needs.

Reltio Connected Data Platform

Reltio offers the industry's first cloud-native, multi-domain MDM SaaS solution. By offering next-generation master data management, the Reltio Connected Data Platform leverages a cloud-native, multi-tenant architecture and our ecosystem to enable speed, agility and flexibility at scale, and facilitate successful digital transformation projects. Companies across industries rely on Reltio to deliver mission-critical, secure, unified, reliable and real-time data at scale to create connected experiences for their customers, partners, prospects, users and employees. If you are a Data Innovator and want to position your company to win in the experience economy, let's talk!

Average Rating: 3.3/5.0

Total Reviews: 6

Scalifi AI - Unified Model Catalogue

Our model catalog is a game-changing experiment tracker for managing machine learning operations. It’s a centralized hub where you can discover, explore, streamline, and manage your individual or organizational ML models at a single place. By keeping track of key model metadata and performance metrics in machine learning, this tool significantly improves knowledge sharing between teams. It enables better informed decision-making, and results in boosting productivity. For teams heavily reliant on machine learning or leading NLP projects this catalog is a must-have for driving efficiency, collaboration, and responsible AI practices.

Sequentum Cloud

Sequentum Cloud - the ultimate low code web scraper for trusted data. Sequentum Cloud is a fully cloud-based SaaS web scraping solution to help any user access high-quality, trusted, custom web data, when and how they want, on a pay-as-you-go basis. This new SaaS solution leverages Sequentum's industry leading expertise in web data extraction and process automation and requires no downloads, dedicated servers or software. Our Cloud-based SaaS solution eliminates the need for software installation, firewall configuration and browser extensions. The result is a fully integrated, low-code, point-and-click environment for ingesting, transforming, AI-enriching, structuring and delivering data designed for use across small businesses and large corporations.

Average Rating: 5.0/5.0

Total Reviews: 2

Strategy Mosaic

Strategy Mosaic, from Strategy (formerly MicroStrategy), is an enterprise-grade universal semantic layer solution designed to enhance the capabilities of AI and Business Intelligence (BI) within organizations. It addresses critical challenges such as data fragmentation and inconsistent metrics, which lead to untrusted AI answers, compliance risks, and runaway cloud costs. The universal semantic layer that Mosaic provides serves as a centralized repository for business definitions, hierarchies, and security rules, ensuring that all users access consistent metrics and KPIs regardless of the tools they employ. This single source of truth is actively monitored by our integrated Sentinel layer, which moves you from reactive audits to proactive, real-time governance. Sentinel provides immediate intelligence on potential data breaches, compliance risks, and cost-saving opportunities, helping you optimize cloud spend and prevent violations before they happen. Additionally, Mosaic empowers organizations to build an auditable foundation for AI. By providing a layer of rich business context and consistent, human-readable definitions, Mosaic gives AI models the deep understanding required to provide more accurate and verifiable answers. This accelerates time to insight, allows you to end vendor lock-in, and dramatically reduces the total cost of ownership (TCO) by eliminating costly data rework and optimizing data management processes. In summary, Strategy Mosaic stands out by addressing the fundamental issues of data fragmentation and governance. Its robust connectivity, centralized semantic layer, and focus on delivering trusted data make it an invaluable tool for organizations aiming to enhance their analytics capabilities and leverage AI effectively.

Average Rating: 4.5/5.0

Total Reviews: 15

Structurify

Structurify creates value from your untapped unstructured data.

Teleskope

Teleskope is a data security platform (DSPM/DLP) that helps security teams discover, classify, and automatically remediate sensitive data exposure across cloud, SaaS, collaboration, database, and AI environments — without manual triage or external remediation tools or ticketing. Designed primarily for CISOs, security operations, and GRC teams at mid-market and enterprise organizations, Teleskope addresses a gap that exists across the data security category: most platforms identify where sensitive data lives but provide no native mechanism to act on what they find. Teleskope combines deep classification with a built-in remediation engine, allowing organizations to move from finding risk to closing it in the same platform. At the core of the platform is a proprietary Data Reasoning Layer — an intelligence architecture that understands business context rather than matching against predefined patterns. This allows Teleskope to classify sensitive documents based on what they are and what they mean in a given environment, not just what regulated fields they contain. A draft M&A term sheet, a proprietary engineering formula, or a sealed legal record can each be identified as sensitive without a rule that says look for it. Key capabilities include: - Automated native remediation — inform, redact, quarantine, revoke access, relocate, or delete, enforced directly within the platform based on your policies, with no handoff to a ticketing system or external tool - Flexible deployment — air-gapped, single-tenant SaaS, or multi-tenant SaaS, covering regulated government and defense environments through to cloud-first enterprises - Broad connector coverage — cloud infrastructure (AWS, GCP, Azure), SaaS (Salesforce, ServiceNow, Workday), collaboration (Slack, Google Drive, Microsoft 365), databases (Snowflake, BigQuery, PostgreSQL), and AI tools (Microsoft Copilot, OpenAI, Claude) - AI data governance — classifies data before it reaches AI agents and copilots, blocks sensitive transfers to external LLMs, and governs what internal AI systems are trained on - Compliance-ready reporting — automated audit evidence for SOC 2, ISO 27001, HIPAA, PCI-DSS, GDPR, CCPA, and EU AI Act, with a full remediation log for every automated action. Key value propositions include: - Reduced risk exposure — high-confidence data exposure is remediated automatically and continuously, shrinking the attack surface in seconds rather than days. - Lower operational burden — security teams are freed from manual alert triage; customers report approximately one hour per week of active platform management after initial deployment. - Reduced legal and compliance liability — enforced retention policies eliminate data that has outlived its purpose, reducing what is discoverable in litigation, subject to breach. notification requirements, and exposed in regulatory inquiries. - Responsible AI adoption — security teams gain visibility and control over what data AI tools can reach before deployment, enabling organizations to adopt AI without creating ungoverned data exposure. - Faster time to value than legacy platforms — a crawl, walk, run deployment model brings customers from initial data map to governed automation in approximately six months. Teleskope is used by organizations in fintech, professional services, healthcare, hospitality, manufacturing, and the public sector, including Ramp, GoFundMe, The Atlantic, Aprio, Alloy, and Chevron Phillips.

Average Rating: 4.6/5.0

Total Reviews: 5

TextQL

TextQL is a platform that simplifies the data-to-insight process for organizations. The platform indexes BI tools and semantic layers, documents data in dbt, and uses OpenAI and language models to provide self-serve power analytics. With TextQL, non-technical users can easily and quickly work wit ... see more

Traceye

Traceye is an Enterprise-grade data indexing infrastructure platform to build and deploy subgraphs with best-in-class performance, security and scalability. Experience Faster and Seamless Access to Indexed Blockchain Data with Traceye Subgraphs.

Trust3.ai

Trust3 AI is a control plane to provide full visibility and security of your agents and everything they touch across the entire agent lifecycle, from build-time to runtime.

Untrite

Complex organisations with legacy systems and specialised knowledge suffer from data silos and fragmented information. Untrite Intelligence™ AI platform helps leveraging your existing data to improve internal operations and customer service efficiency by up to 42%. Unlike other large corporations where you need to purchase an out of box full solution, we provide a modular platform with building blocks which you pick as you need. The more modules and areas of your business are connected, the more synergy effects can be achieved. Untrite Intelligence™ empowers your teams to use the data to increase transparency and efficiency of your business workflows; improve first time customer query resolution, optimise service performance, assess and mitigate risks and drive exceptional client experience.

Vectice

Vectice, an auto-documentation platform, empowers data scientists and model developers to build trust faster in AI models. By continuously cataloging AI assets and knowledge during development, model documentation, compliance, and governance becomes easier. Integrating with your existing tools, Vectice generates comprehensive and consistent documentation effortlessly. This typically results in model-to-production time being cut by 25% or more. Vectice works with global Data Science and AI/ML leaders to boost productivity while improving their ability to control risk and governance. Vectice integrates seamlessly with popular AI/ML tools like Python, R, Snowflake, Databricks, MLflow, and more. For more information, visit www.vectice.com

Vyapin Dockit Metadata Manager

Dockit Metadata Manager for SharePoint allows you to take control of all aspects of metadata management in your SharePoint. As everyone knows, SharePoint content without proper metadata renders SharePoint to be just a storage repository resulting in very poor user adoption and gross under-utilization of the powerful capabilities of SharePoint. Irrespective of whether you have a well settled, on-going production SharePoint environment or you have just begun to streamline your SharePoint metadata before or after your SharePoint migration, you need to have complete control on how your SharePoint metadata is organized and how it needs to be monitored and managed.