Alternatives to Nextdata
Compare Nextdata alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Nextdata in 2026. Compare features, ratings, user reviews, pricing, and more from Nextdata competitors and alternatives in order to make an informed decision for your business.
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DataHub
DataHub
DataHub Cloud is an event-driven AI & Data Context Platform that uses active metadata for real-time visibility across your entire data ecosystem. Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built connectors. Built on an open source foundation with a thriving community of 13,000+ members, DataHub gives you unmatched flexibility to customize and extend without vendor lock-in. DataHub Cloud is a modern metadata platform with REST and GraphQL APIs that optimize performance for complex queries, essential for AI-ready data management and ML lifecycle support. -
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AnalyticsCreator
AnalyticsCreator
AnalyticsCreator is a metadata-driven data warehouse automation application for teams working in the Microsoft data ecosystem. It enables data engineers to design, generate, and maintain production-ready data products across Microsoft SQL Server, Azure Data Factory, and Microsoft Fabric. By using centralized metadata, AnalyticsCreator generates ELT pipelines, dimensional models, historization logic, and analytical models in a consistent, version-controlled way. This reduces manual implementation effort and tool sprawl while ensuring transparency through built-in lineage tracking and clear visibility into data dependencies and change impact. With CI/CD integration via Azure DevOps and GitHub, plus support for custom SQL, AnalyticsCreator helps data teams scale delivery, enforce standards, and maintain control as complexity grows. -
3
Azure Computer Vision
Microsoft
Boost content discoverability, automate text extraction, analyze video in real time, and create products that more people can use by embedding vision capabilities in your apps. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people’s movement in physical spaces. No machine learning expertise is required. -
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Brightleaf
Brightleaf
Brightleaf provides a technology-powered service to extract information from your contracts using our own proprietary semantic intelligence/natural language processing technology, our own team of lawyers to check the output, and our own Six-Sigma process to deliver highly accurate extracted data from your contracts. Your legacy contractual documents along with this extracted meta-data can be migrated into a Contract Lifecycle Management (CLM) system for tracking and reporting. This greatly enhances the value of your investment in the system. The data can be virtually anything, and it is customized for each of your types of contracts. All meta-data, terms and conditions, legal provisions, and even all obligations (which are usually scattered throughout your contracts) are extracted by our software. -
5
Crux
Crux
Find out why the heavy hitters are using the Crux external data automation platform to scale external data integration, transformation, and observability without increasing headcount. Our cloud-native data integration technology accelerates the ingestion, preparation, observability and ongoing delivery of any external dataset. The result is that we can ensure you get quality data in the right place, in the right format when you need it. Leverage automatic schema detection, delivery schedule inference, and lifecycle management to build pipelines from any external data source quickly. Enhance discoverability throughout your organization through a private catalog of linked and matched data products. Enrich, validate, and transform any dataset to quickly combine it with other data sources and accelerate analytics. -
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Optimizify
Optimizify
Optimizify is a YouTube-optimized video performance marketing platform that leverages advanced AI and data-driven strategies to elevate discoverability and engagement. It identifies high-traffic, relevant key-phrases to drive targeting precision, suggests and facilitates high-performing ad promotion strategies tailored for YouTube, and optimizes metadata, including video titles, descriptions, and tags, for alignment with YouTube’s algorithm, helping users achieve improved rankings, engagement, and visibility.Starting Price: $150 per month -
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Kater.ai
Kater.ai
Kater is built for data professionals and data inquisitors. All organized data products are immediately usable by anyone who has a data question, without knowing a lick of SQL. Kater aims to bridge the ownership of data across all business domains in your company. Butler securely connects to your data warehouse's metadata and objects to help you code, discover data, and so much more. Optimize your data for AI with automatic intelligent labeling, categorization, and data curation. We help you define your semantic layer, metric layer, and general documentation. Validated answers are stored in the query bank for smarter, more accurate responses. -
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BuzzMyVideos
BuzzMyVideos
BuzzMyVideos is an AI-powered YouTube growth platform founded by ex-Google/YouTube executives with 24 years of combined experience in the digital world. The platform offers a complimentary YouTube channel audit, self-serve AI-driven YouTube SEO for metadata, and access to an expert team for strategic support and training. BuzzMyVideos' cutting-edge platform dives deep into your content, keywords, and trends to optimize your videos for maximum discoverability and engagement. The innovative system identifies optimization prospects and recommends actions to amplify your YouTube videos, from thumbnails to video titles. The platform suggests optimal choices, ensuring your videos are easily discoverable by your target audience. BuzzMyVideos' advanced algorithms scrutinize all of your content, keywords, and trends to ensure your videos are perfectly optimized for peak discoverability and engagement. The platform provides valuable insights for further optimization of YouTube SEO. -
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OneTrust Data & AI Governance
OneTrust
OneTrust's Data & AI Governance solution is an integrated platform designed to establish data and AI policies by consolidating insights from data, metadata, models, and risk assessments, providing comprehensive visibility into data products and AI development. It accelerates data-driven innovation by increasing the speed of approval for data products and AI systems. The solution enhances business continuity through continuous monitoring of data and AI systems, ensuring regulatory compliance, effective risk management, and reduced application downtime. It simplifies compliance by centrally defining, orchestrating, and natively enforcing data policies. Key features include consistent scanning, classification, and tagging of sensitive data to ensure the reliable application of data governance policies across structured and unstructured sources. It promotes responsible data usage by enforcing role-based access within a robust data governance framework. -
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Actian Data Intelligence Platform is a cloud-native, AI-ready solution designed to transform how organizations discover, understand, govern, and trust their data across complex environments. It unifies capabilities such as data cataloging, metadata management, data governance, lineage, observability, and semantic context into a single platform, creating a central, trusted layer for enterprise data. Powered by a federated knowledge graph, it builds intelligent relationships between data assets, enabling the system to automatically understand context, deliver relevant search results, and provide recommendations for data use. This approach allows both technical and business users to easily find and work with trusted data, improving decision-making and operational efficiency. It continuously monitors data health, enforces governance policies, and generates automated trust signals, ensuring data remains accurate, compliant, and ready for analytics and AI applications.
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Azure Media Services
Microsoft
Use high-definition video encoding and streaming services to reach your audiences on the devices they use. And enhance content discoverability and performance with AI. All while helping to protect your content with digital rights management (DRM). Multi-channel pipeline that orchestrates video and audio analysis and incorporates cues into a single timeline. Web interface for easy evaluation and integration, plus easy-to-use web widgets and REST APIs. Intuitive customization and management features, letting you train and fine-tune selected models to improve indexing accuracy. Compliance with regulations including HIPAA, ISO 27001-27018, FedRAMP, HITRUST, and PCI. Increase the discoverability of your audio and video content by automatically extracting advanced metadata. Enhance your apps with new forms of detectable content like spoken words, written text, and faces, as well as speakers, celebrities, and emotions.Starting Price: $0.02003 per minute -
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Octopos
Octopos
Octopos is a data governance and data mesh platform that enables large enterprises to discover, catalog, and manage data assets across distributed environments while ensuring compliance, security, and business context are preserved. It provides automated metadata harvesting and intelligent classification so organizations can build a unified enterprise data catalog that includes business terms, policies, and lineage, giving teams a clear, trustworthy view of where data comes from, how it’s used, and who owns it. It also offers tools for automated data quality monitoring, impact analysis, and collaborative workflows that help data stewards and engineers remediate issues quickly and maintain reliable datasets. Octopos supports policy enforcement by unifying technical, business, and compliance requirements into rule sets that can be applied consistently across cloud, on-premises, and hybrid architectures, reducing risk and accelerating analytics projects. -
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Metadact
Litera
Metadact is a metadata cleaning and data loss prevention tool designed to protect organizations from accidental information leaks by removing hidden metadata from documents. It integrates seamlessly with existing email systems, ensuring that all outgoing attachments are automatically cleansed of sensitive metadata without disrupting user workflows. Metadact supports various file types, including Microsoft Office documents and PDFs, providing comprehensive protection across different formats. Its centralized management console allows administrators to enforce organization-wide policies, customize cleaning settings, and monitor usage to maintain compliance and security standards. Additionally, Metadact offers flexible deployment options, including on-premises and cloud-based solutions, to accommodate diverse IT infrastructures. Have total control with customizable settings and receive insights to protect data, while maintaining an efficient workflow. -
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IndyKite
IndyKite
IndyKite is a context graph purpose-built to deliver real-time trust, control, and explainability for applications and AI. It transforms signals into live enforcement context, evaluated at the moment of use to determine who or what can access which data, under what conditions, and why. It unifies identity, metadata, provenance, and policies into a single operational context engine that applications and AI systems can rely on, instead of keeping context scattered across IAM systems, catalogs, MDM, security tools, code, and documents. IndyKite models identity, data, and policy together so controls can apply to humans, machines, and AI equally. Its Identity Knowledge Graph accurately reflects users, applications, machines, data types, and the relationships between them, creating a real-world data model of both person and non-person entities. This provides the foundation for intelligent, predictive access control, with contextual insights. -
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Glara
Glara
Glara is an AI visibility and optimization platform for ecommerce brands, especially those on Shopify, that helps companies understand and improve where their products and brand appear in answers from AI-driven search engines and assistants like ChatGPT, Claude, Gemini, Perplexity, and other generative models by tying AI discovery back to revenue, traffic, and product data. It runs targeted prompts across multiple AI models to track product-level and brand-level visibility in real time, showing exactly which search queries and AI answers mention a brand’s catalog, how competitors perform, and where visibility gaps exist. It gives teams actionable insights and competitive benchmarking so they can fix structured product data attributes like fit, fabric, ingredients, certifications, and semantics that drive AI recommendations, and supports category-specific optimizations to increase discoverability for the right shoppers and intents.Starting Price: €99 per month -
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Oracle Enterprise Metadata Management (OEMM) is a comprehensive metadata management platform. OEMM can harvest and catalog metadata from virtually any metadata provider, including relational, Hadoop, ETL, BI, data modeling, and many more. OEMM however is not just a metadata repository, OEMM allows for interactive searching and browsing of the metadata as well as providing data lineage, impact analysis, semantic definition and semantic usage analysis for any metadata asset within the catalog. OEMM's advanced algorithms stitch together metadata from each of the providers providing the complete path of data from source to report or vice versa. OEMM supports virtually any metadata provider including: Data modeling tools, databases, CASE tools, Hadoop, ETL engines, Warehouses, BI, EAI environments, as well as many more.
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WordLift
WordLift
WordLift is an AI-driven platform designed to enhance discovery experiences by integrating human-centric approaches. It helps businesses transition to AI discovery while prioritizing meaningful human engagement. The platform transforms how brands interact with their audiences by leveraging semantic data for more personalized experiences. WordLift’s value lies in enabling businesses to optimize SEO through AI, regardless of direct content creation. Their methodology focuses on building knowledge graphs that act as AI’s long-term memory, improving content discoverability while maintaining data ownership. The AI Discovery Suite is built on four pillars: Reach: Expand digital presence by increasing content visibility. Engage: Enhances engagement through content generation and product performance. Convert: Drives conversions through personalized interactions. Learn: Connects data to uncover customer behaviors and trends, supporting continuous learning. This approach ensures moStarting Price: €799 per month -
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Whip Media
Whip Media
Centralize and scale core content distribution processes to increase visibility, efficiency, and profitability with our Content Value Management™ (CVM) platform. Streamline, enhance, and inform at every step of the content distribution journey. Seamlessly manage the distribution of avails to hundreds of global customers. Surface more deals, exploit more opportunities and optimize licensing deals. Simplify revenue recognition and reconciliation, cost amortization, invoicing, and payments. A unified view of OTT and linear performance including AVOD, TVOD, FAST, SVOD, PVOD, and EST. Aggregate and validate global content performance data for better sales and financial reporting. Make smarter decisions with unique 1st party consumer insights and streaming data in partnership with BB. Optimize content value with predictive analytics by finding the best titles for both platform and territory. Crowdsourced metadata to make content more discoverable and relevant. -
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Dual Web
Dual Web
DualWeb is a smart optimization layer for websites that delivers two distinct versions of your site, one tailored for human users and another structured for AI agents, to enhance both user experience and AI visibility seamlessly. It uses AI detection and redirection to serve AI-friendly content without requiring a full site redesign, ensuring bots receive structured, accessible data while preserving the original human-facing interface. This dual-format design boosts discoverability in AI-driven environments and positions your content favorably for AI-generated answers and ranking algorithms. DualWeb works with your existing site architecture, enabling performance gains for both human and AI visitors through improved accessibility, usability, and content alignment, all achieved with minimal integration effort and without disrupting the UX.Starting Price: $299 per month -
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NLWeb
Microsoft
NLWeb is an open project developed by Microsoft that aims to make it simple to create a rich, natural language interface for websites using the model of their choice and their own data. Our goal is for NLWeb, short for Natural Language Web, to be the fastest and easiest way to effectively turn your website into an AI app, allowing users to query the contents of the site by directly using natural language, just like with an AI assistant or Copilot. Every NLWeb instance is also a Model Context Protocol (MCP) server, allowing websites to make their content discoverable and accessible to agents and other participants in the MCP ecosystem if they choose. NLWeb leverages semi-structured formats like Schema.org, RSS, and other data that websites already publish, combining them with LLM-powered tools to create natural language interfaces usable by both humans and AI agents. -
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Vectice
Vectice
Enabling all enterprise’s AI/ML initiatives to result in consistent and positive impact. Data scientists deserve a solution that makes all their experiments reproducible, every asset discoverable and simplifies knowledge transfer. Managers deserve a dedicated data science solution. to secure knowledge, automate reporting and simplify reviews and processes. Vectice is on a mission to revolutionize the way data science teams work and collaborate. The goal is to ensure consistent and positive AI/ML impact for all organizations. Vectice is bringing the first automated knowledge solution that is both data science aware, actionable and compatible with the tools data scientists use. Vectice auto-captures all the assets that AI/ML teams create such as datasets, code, notebooks, models or runs. Then it auto-generates documentation from business requirements to production deployments. -
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Metadados
Metadados
The Metadata HR Portal guarantees the decentralization of processes in HR, allowing self-service to managers and employees, and time for HR to exercise its strategic function. Enables the viewing of Metadata HR System data for employees and managers, with different permission levels, online. It allows the decentralization of information in HR, when managing the elaboration, forwarding, approval and execution of requests through the creation of customized forms, integrated to a workflow. Metadata Enables queries, requests, approvals, document adjustments, authorizations and access to records, without the need for assistance from the HR area, automatically and in real time. Metadata Managers have access to their information and all the data of their team, such as vacation balance, evaluation histories, payment receipts, registration forms, consultation and adjustment of the point mirror, absences, among others. -
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Cribl Lake
Cribl
Storage that doesn’t lock data in. Get up and running fast with a managed data lake. Easily store, access, and retrieve data, without being a data expert. Cribl Lake keeps you from drowning in data. Easily store, manage, enforce policy on, and access data when you need. Dive into the future with open formats and unified retention, security, and access control policies. Let Cribl handle the heavy lifting so data can be usable and valuable to the teams and tools that need it. Minutes, not months to get up and running with Cribl Lake. Zero configuration with automated provisioning and out-of-the-box integrations. Streamline workflows with Stream and Edge for powerful data ingestion and routing. Cribl Search unifies queries no matter where data is stored, so you can get value from data without delays. Take an easy path to collect and store data for long-term retention. Comply with legal and business requirements for data retention by defining specific retention periods. -
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CompareData
Zidsoft
Compare and synchronize sql data visually. CompareData allows you to visually compare and synchronize data between sql databases. Compare table, view or query data and see differences highlighted on the screen. Compare table metadata, generate sql sync script, use the command line and internal scheduling to automate comparison and data synchronization. • Compare data of table, query or group of tables. • Synchronize table data at row, table or group level. • Compare table metadata including columns, primary key, indices, foreign keys, triggers, permission and check constraints. • Compare stored procedures, functions and sequences, • Cross-dbms support with ODBC. • Compare resultsets of any size. • Native 64-bit application. • Multi-threaded, multi-core support. • Free for comparing data and metadata.Starting Price: $495 single user license -
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C5i Compete
C5i
AI-driven digital shelf analytics and performance platform built to help brands and retailers win online by providing real-time insights, automation, and competitive benchmarking across the full digital shelf. It aggregates data from 1,000+ websites and apps in multiple languages to deliver actionable analytics on pricing competitiveness, assortment availability, content quality, promotion effectiveness, product perception, search discoverability, and key performance indicators. It uses configurable automation, integration with PIM/DAM/CRM systems, and AI/ML models to evaluate price and discount changes, forecast pricing, map products for competitive comparison, analyze marketing content (including banners and video ads), assess product image quality, and recommend SEO-optimized content. It also offers real-time alerts for stock-outs and pricing changes, a conversational AI assistant for data queries and summaries, dynamic content generation, keyword recommendations, etc. -
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Lumi
Lumi
Lumi is the all-in-one platform that helps you find and manage suppliers. Instantly submit a single quote request to all the suppliers that match your needs. Explore rich data about each supplier’s performance, certifications, and capabilities. Communicate directly with suppliers about specific quotes and order items in Lumi. Get complete transparency into the cost of your packaging, directly from the manufacturer. Store packaging data in intricate detail using Lumi’s powerful data format. New suppliers are added every week, discoverable with powerful search and filtering tools. Ensure that every detail of your project is accurate before you enter production. Lumi standardizes the workflow for your suppliers to help you avoid errors before they occur.Starting Price: $95 per month -
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Mesh Security
Mesh Security
Mesh Security is a next-generation cybersecurity platform built on Cybersecurity Mesh Architecture (CSMA) that unifies fragmented security data, tools, and infrastructure into a single real-time adaptive defense layer to help organizations continuously assess, prioritize, and mitigate risks across identities, endpoints, data, cloud, SaaS, CI/CD, and networks. It delivers unified posture management that continuously identifies and contextualizes critical risks and gaps enterprise-wide, transforms disparate security signals into a dynamic assets graph for full visibility, and enables cross-domain threat detection and automated response with AI-driven anomaly detection and built-in detection rules. Mesh integrates with existing security stacks within minutes, automating remediation workflows and reducing attack surface without requiring new infrastructure, while centralizing policy, playbook, and compliance enforcement across hybrid environments. -
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Cloudentity
Cloudentity
Cloudentity increases development velocity, audit efficiency and risk mitigation by advancing fine-grained authorization policy management and delivering continuous, transaction-level enforcement across hybrid, multi-cloud and microservice environments. Externalize authorization management that empowers developers to efficiently create policy-as-code, provision standardized controls, and invoke contextual access and data exchange enforcement as close to the service as possible. Accelerate application delivery by expediting security validation with full data lineage for audit, forensics and compliance. Cloudentity provides dynamic authorization governance that delivers policy automation and adaptive control ensuring Zero Trust between users, apps, services and data. Automate app, service and API inventory, authorization policy standardization, and declarative authorization provisioning to streamline release security verification. -
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Atlan
Atlan
The modern data workspace. Make all your data assets from data tables to BI reports, instantly discoverable. Our powerful search algorithms combined with easy browsing experience, make finding the right asset, a breeze. Atlan auto-generates data quality profiles which make detecting bad data, dead easy. From automatic variable type detection & frequency distribution to missing values and outlier detection, we’ve got you covered. Atlan takes the pain away from governing and managing your data ecosystem! Atlan’s bots parse through SQL query history to auto construct data lineage and auto-detect PII data, allowing you to create dynamic access policies & best in class governance. Even non-technical users can directly query across multiple data lakes, warehouses & DBs using our excel-like query builder. Native integrations with tools like Tableau and Jupyter makes data collaboration come alive. -
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Titus Classification Suite
Fortra
Achieving compliance across a wealth of new international data privacy laws and regulations is the benchmark for effective cybersecurity, and data classification is the first step to building a strong data protection posture. The family of Titus Classification products provides the essential tools to clearly inform both your people and your policies on what data should be secured and how to handle it. Manage and protect your data with the industry’s most flexible and customizable classification metadata schema. Give your data context so people and systems understand how to handle the information. A classification and policy enforcement tool that ensures all Microsoft Office documents are classified before they can be saved, printed, or sent via email. Ensure that every email is classified and protectively marked before it is sent. Allow end users to classify and protect any file type with just a few mouse clicks in Microsoft Windows Explorer helping protect your organization. -
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CrowdAI
CrowdAI
Systematically manage the end-to-end AI pipeline, from raw data to production. Build custom models that are sensitive to your operations, powering competitive advantage. Build a diverse AI workforce that can easily build and deploy AI, all without a single line of code. Put AI into action anywhere, on the factory floor, in outer space, or anywhere in between. Invest in a proven platform, deployed in some of the most data-sensitive environments. Assisted user flows to walk you through creating your first model. Rather than siloing enterprise data across cloud providers and hardware devices, centralize all media into a single, curated library that is optimized for discoverability. -
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Kleonotus
Kleonotus
Kleonotus is an automated visibility platform that helps businesses appear more often in AI-generated answers from tools like ChatGPT, Claude, Gemini, and Perplexity. It focuses on Generative Engine Optimization (GEO) alongside traditional SEO to ensure companies remain discoverable as AI assistants replace search engines for information discovery. Kleonotus increases brand presence without requiring changes to an existing website. The platform automatically optimizes company data so AI models are more likely to recommend the business when users ask relevant questions. In addition to AI model visibility, Kleonotus promotes companies across social platforms such as Reddit, Twitter, and Discord. Its continuous optimization process improves discoverability over time through frequent automated updates. Kleonotus helps businesses capture demand and drive qualified leads in an AI-first digital landscape.Starting Price: $15/month -
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Modern DataOS
The Modern Data Company
The Modern Data Company’s flagship offering is DataOS, a data operating system that radically simplifies how organizations unify, manage, and activate data at scale by turning raw data into governed, reusable, AI-ready data products that power insights and decisions without slowing teams down. DataOS lays a composable, open layer on top of existing data infrastructure so businesses can discover and activate trusted data products with built-in policies, ownership, traceability, and a universal semantic layer that standardizes metrics and definitions across domains, reducing complexity and hidden costs while accelerating time to value. It features robust discovery and search capabilities so users can browse curated, business-ready data products by domain or use case, coupled with global metrics and lifecycle management to monitor usage, performance, adoption, and ROI of data products throughout their lifecycle. -
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The STL Viewer is FREE software for the visualization of STL or OBJ meshes created in packages such as 3D Studio Max, MAYA, and Z Brush, modeled in CAD systems, or generated from 3D digitalization of physical objects. With its simplified user interface, fast rendering, and ability to handle even big volumes of data the STL Viewer is an ideal tool for examining polygonal meshes. STL file format is a common format for 3D digitizing, rapid prototyping, animation, and 3D data archiving software. If you receive triangular mesh data containing CAD models, scan data, or 3D designs you can quickly see it in the viewer. You may also find it useful if you are a company or person providing such data to your customers and need a visualization tool to give away with it. Loading polygonal meshes in STL and OBJ file formats. Quickly resetting the object in default views, front, back, left, right, top and bottom.Starting Price: Free
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Patentics
Patentics
Patentics is an AI-driven patent intelligence platform that combines third-generation semantic search, high-fidelity translation, deep data processing, and automated analysis to help users uncover, evaluate, and visualize global patent information. Leveraging a model trained on tens of millions of data points, Patentics' semantic engine interprets patent text, expands related expressions, auto-classifies IPC codes, and surfaces the most relevant prior art, even identifying documents that threaten novelty or inventiveness. It ingests and normalizes data from 160+ national and regional patent offices and over 130 analytical fields, enriching dossiers with family, citation, transaction, and legal-status metadata. Native Chinese-to-English and English-to-Chinese neural translation lets users search and browse foreign patents in their preferred language. Built-in operators, visual query flows, and clustering tools support multi-dimensional filtering, grouping, and mapping. -
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TopBraid
TopQuadrant
Graphs are the most flexible formal data structures (making it simple to map other data formats to graphs) that capture explicit relationships between items so that you can easily connect new data items as they are added and traverse the links to understand the connections. The semantics of data are explicit and include formalisms for supporting inferencing and data validation. As a self-descriptive data model, knowledge graphs enable data validation and can offer recommendations for how data may need to be adjusted to meet data model requirements. The meaning of the data is stored alongside the data in the graph, in the form of the ontologies or semantic models. This makes knowledge graphs self-descriptive. Knowledge graphs are able to accommodate diverse data and metadata that adjusts and grows over time, much like living things do. -
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PuR MetaData
Evolution Software
Remove unwanted metadata from email attachments and secure your organization today! With PuR MetaData, organizations can mitigate the risk of unwanted metadata leaving the workplace quickly and easily. PuR MetaData will decrease liability and avoid costly lawsuits by protecting your organization’s privacy, comprising information. Furthermore, PuR MetaData’s platform enables you to increase efficiency and productivity. PuR MetaData is simple, reliable, and cost-effective. Empowering users to participate in the decision-making process. Categorically organized to view the metadata within each file to independently evaluate with a risk assessment at the user level. PuR MetaData analyzes and cleans hidden information from Word, Excel, PowerPoint, and PDF attachments. Our intuitive interface helps you work more efficiently by increasing productivity and business continuity.Starting Price: $39 per year -
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AWS Thinkbox Sequoia
Amazon
AWS Thinkbox Sequoia is a standalone application for point cloud processing and meshing, compatible with Windows, Linux, and macOS operating systems. It accepts point cloud and mesh data in various industry-standard formats, converting point cloud data into a compact and fast-to-access intermediate cache format. Sequoia offers intelligent workflows to retain high-precision data efficiently, displaying all or a fraction of the point cloud data using adaptive view-dependent methods. Users can transform, cull, and modify point cloud data, generate meshes from point clouds, and optimize the produced meshes. The software supports projecting images onto points and meshes, generating mesh vertex colors, Ptex, or UV-based textures from point cloud colors and image projections. It exports resulting meshes to supported industry-standard mesh file formats and integrates with Thinkbox Deadline to perform point cloud data conversion, meshing, and export on network nodes. -
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Gemini Embedding 2
Google
Gemini Embedding models, including the newer Gemini Embedding 2, are part of Google’s Gemini AI ecosystem and are designed to convert text, phrases, sentences, and code into numerical vector representations that capture their semantic meaning. Unlike generative models that produce new content, the embedding model transforms input data into dense vectors that represent meaning in a mathematical format, allowing computers to compare and analyze information based on conceptual similarity rather than exact wording. These embeddings enable applications such as semantic search, recommendation systems, document retrieval, clustering, classification, and retrieval-augmented generation pipelines. The model can process input in more than 100 languages and supports up to 2048 tokens per request, allowing it to embed longer pieces of text or code while maintaining strong contextual understanding.Starting Price: Free -
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Syte
Syte
To win shoppers’ hearts in the new era of customer experience, brands must empower them to discover and purchase products in the same way they live their lives — instant, intuitive, visual. Drive conversion by using visual AI to help shoppers find the products that suit their unique preferences throughout the buyer journey. Combine real-time behavioral data with visual AI to predict the products most likely to convert for each shopper. Boost revenue and simplify navigation by combining AI-enriched product tagging with next-generation text search. The world’s most innovative brands partner with Syte to create intuitive customer journeys that enhance navigation and product discoverability, boost conversion, and increase average order value. Syte’s team of experts designed, developed, and optimized our visual AI solutions to cater to the specific needs of fashion, jewelry, and home decor brands. -
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Progress Semaphore
Progress Software
Semaphore is an enterprise metadata management and semantic AI platform designed to transform complex information into meaningful, actionable intelligence. It creates rich, contextual metadata that adds meaning to structured and unstructured data across the organization. The platform helps businesses understand, trust, analyze, and leverage their data more effectively. Semaphore applies a semantic layer that reduces information silos, language ambiguity, and vocabulary gaps. It supports advanced analytics, automation, and AI initiatives by providing high-quality contextual data. Knowledge modeling and classification tools enable consistent understanding across systems and teams. Semaphore helps organizations unlock the full business value of their enterprise knowledge. -
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Agentforce Vibes
Salesforce
Agentforce Vibes introduces vibe coding, a generative AI–powered approach that lets developers convert natural language instructions into production-ready Salesforce applications with enterprise-grade security, governance, and infrastructure. Unlike simpler vibe coding tools aimed at prototyping, Agentforce Vibes supports the full development lifecycle, ideation, building, testing, deployment, and observability, while integrating with Salesforce’s platform and trust layers. It functions as an AI-powered IDE (usable within VS Code or any VS Code-compatible environment) that understands your Salesforce schema and metadata, enabling features such as agentic code generation (Apex, HTML, CSS, JavaScript), intelligent rule enforcement, test case generation, debugging, rollbacks, and natural language DevOps. It supports multiple language models, is extensible via Model Context Protocol (MCP) with over 20 built-in tools, and allows reuse of existing code. -
43
Codd AI
Codd AI
Codd AI solves one of the biggest problems in analytics: making data truly business-ready. Instead of teams spending weeks manually mapping schemas, building models, and defining metrics, Codd uses generative AI to automatically create a context-aware semantic layer that aligns technical data with your business language. That means business users can ask questions in plain English and get accurate, governed answers instantly—through BI tools, conversational AI, or any endpoint. With governance and auditability built in, Codd makes analytics faster, clearer, and more trustworthy. Codd AI ingests both technical metadata from your database, as well as business rules and logic to use AI to auto-generate the most comprehensive semantic layer. This semantic layer is embedded in an intelligent query agent to power natural language (NLP) conversational analytics or power traditional BI toolsStarting Price: $25k per year -
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Amazon S3 Vectors
Amazon
Amazon S3 Vectors is the first cloud object store with native support for storing and querying vector embeddings at scale, delivering purpose-built, cost-optimized vector storage for semantic search, AI agents, retrieval-augmented generation, and similarity-search applications. It introduces a new “vector bucket” type in S3, where users can organize vectors into “vector indexes,” store high-dimensional embeddings (representing text, images, audio, or other unstructured data), and run similarity queries via dedicated APIs, all without provisioning infrastructure. Each vector may carry metadata (e.g., tags, timestamps, categories), enabling filtered queries by attributes. S3 Vectors offers massive scale; now generally available, it supports up to 2 billion vectors per index and up to 10,000 vector indexes per bucket, with elastic, durable storage and server-side encryption (SSE-S3 or optionally KMS). -
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Collate
Collate
Collate is an AI‑driven metadata platform that empowers data teams with automated discovery, observability, quality, and governance through agent‑based workflows. Built on the open source OpenMetadata foundation and a unified metadata graph, it offers 90+ turnkey connectors to ingest metadata from databases, data warehouses, BI tools, and pipelines, delivering in‑depth column‑level lineage, data profiling, and no‑code quality tests. Its AI agents automate data discovery, permission‑aware querying, alerting, and incident‑management workflows at scale, while real‑time dashboards, interactive analyses, and a collaborative business glossary enable both technical and non‑technical users to steward high‑quality data assets. Continuous monitoring and governance automations enforce compliance with standards such as GDPR and CCPA, reducing mean time to resolution for data issues and lowering total cost of ownership.Starting Price: Free -
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XetHub
XetHub
Confidently branch, review, and merge data as you experiment with complete history and recoverability. Track your code and data together for always-in-sync development and guaranteed reproducibility. Automate reports, audit access, and manage metadata in a centralized location for everyone. XetHub is ideal for teams who already use Git to track their code changes, and want to leverage the power of infinite history, pull requests, and difference-based tracking for larger assets such as datasets or media files. Managing complete projects with familiar Git semantics makes change tracking and continuous integration a breeze, especially for workflows that use code to generate or augment assets. -
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WebAssembly
WebAssembly
WebAssembly (abbreviated Wasm) is a binary instruction format for a stack-based virtual machine. Wasm is designed as a portable compilation target for programming languages, enabling deployment on the web for client and server applications. The Wasm stack machine is designed to be encoded in a size- and load-time-efficient binary format. WebAssembly aims to execute at native speed by taking advantage of common hardware capabilities available on a wide range of platforms. WebAssembly describes a memory-safe, sandboxed execution environment that may even be implemented inside existing JavaScript virtual machines. When embedded in the web, WebAssembly will enforce the same-origin and permissions security policies of the browser. WebAssembly is designed to be pretty-printed in a textual format for debugging, testing, experimenting, optimizing, learning, teaching, and writing programs by hand. The textual format will be used when viewing the source of Wasm modules on the web.Starting Price: Free -
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Knowledge Catalog is an AI-powered data catalog from Google Cloud that helps organizations manage and understand their entire data ecosystem. It automatically extracts semantics from both structured and unstructured data to build a dynamic context graph. This enables better data discovery, governance, and context-aware insights across the enterprise. The platform helps reduce AI hallucinations by grounding models in accurate, enterprise-specific data. It provides tools for tracking data lineage, profiling data, and measuring data quality. Users can also create business glossaries and enrich metadata to improve data usability. Knowledge Catalog integrates with various Google Cloud services and supports both analytics and AI-driven workflows. Overall, it enhances data visibility, governance, and trust across organizations.Starting Price: $0.060 per hour
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Autonify.ai
Autonify.ai
Autonify.ai transforms enterprise data from a cost centre into a competitive edge. Our platform applies intelligent agents that don't just manage data — they activate it. By continuously improving data quality, discoverability, and access, we unlock the full business value of your information assets. This enables faster innovation, smarter decision-making, and readiness for AI-powered operations — all with less human overhead. -
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Fabacus Xelacore
Fabacus
Create a robust and retail standards-compliant product catalog to be at the core of all your business initiatives, with unique identifiers and associated digital assets, validated and authenticated by all stakeholders. Create a centralized view of your products as Xelacore Register allows you to benefit from the foundation of quality, structured, standardized data. Through an authenticated set of product data that boosts product integrity and online discoverability. Through syndication with retailers and online marketplaces for the removal of illegitimate products. With consistent product information and a quality data structure boosting SEO ranking. An upfront, product catalog means less time required for royalty reporting and reconciliation. By centralizing authenticated product data and creating a single source of truth. By helping consumers make informed purchases with a consistent brand and product representation.
