Alternatives to Unity Catalog
Compare Unity Catalog alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Unity Catalog in 2026. Compare features, ratings, user reviews, pricing, and more from Unity Catalog competitors and alternatives in order to make an informed decision for your business.
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Teradata VantageCloud
Teradata
Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems. -
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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 Unlike traditional data catalogs that provide outdated snapshots, DataHub Cloud instantly propagates changes, automatically enforces policies, and connects every data source across platforms with 100+ pre-built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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OneTrust Privacy Automation
OneTrust
Go beyond compliance and build trust through transparency, choice, and control. People demand greater control of their data, unlocking an opportunity for organizations to use these moments to build trust and deliver more valuable experiences. We provide privacy and data governance automation to help organizations better understand their data across the business, meet regulatory requirements, and operationalize risk mitigation to provide transparency and choice to individuals. Achieve data privacy compliance faster and build trust in your organization. Our platform helps break down silos across processes, workflows, and teams to operationalize regulatory compliance and enable trusted data use. Build proactive privacy programs rooted in global best practices, not reactive to individual regulations. Gain visibility into unknown risks to drive mitigation and risk-based decision making. Respect individual choice and embed privacy and security by default into the data lifecycle. -
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Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
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Dataplex Universal Catalog
Google
Dataplex Universal Catalog is Google Cloud’s intelligent governance platform for data and AI artifacts. It centralizes discovery, management, and monitoring across data lakes, warehouses, and databases, giving teams unified access to trusted data. With Vertex AI integration, users can instantly find datasets, models, features, and related assets in one search experience. It supports semantic search, data lineage, quality checks, and profiling to improve trust and compliance. Integrated with BigQuery and BigLake, it enables end-to-end governance for both proprietary and open lakehouse environments. Dataplex Universal Catalog helps organizations democratize data access, enforce governance, and accelerate analytics and AI initiatives.Starting Price: $0.060 per hour -
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Databricks Data Intelligence Platform
Databricks
The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker. -
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DataGalaxy
DataGalaxy
DataGalaxy is a next-generation data governance and intelligence platform designed to help organizations manage, understand, and maximize the value of their data. Built around a unified interface, it empowers everyone—from executives to data consumers—to collaborate seamlessly across data assets, strategies, and analytics. The platform’s automated data catalog, governance hub, and AI co-pilot reduce manual work while ensuring compliance and data quality across systems. With over 70+ integrations, including Snowflake, Databricks, Power BI, and AWS, DataGalaxy connects your data ecosystem into a single source of truth. Its value tracking center and strategy cockpit align data initiatives with business goals, driving measurable outcomes and enterprise-wide visibility. Loved by users, DataGalaxy turns governance into a strategic advantage for the modern enterprise. -
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Aiimi
Aiimi
Aiimi’s Workplace AI platform is an enterprise-scale AI and data management solution that connects all structured and unstructured data across an organization through a single Virtual Data Layer, enabling secure, scalable AI-powered search, analysis, automation, and actionable insights. It uses AI, machine learning, and Retrieval Augmented Generation (RAG) to discover, classify, enrich, and govern data at scale, turning fragmented information into trusted, “AI-ready” datasets that support natural language search, contextual chat and assistant features, advanced Q&A, and visualizations like knowledge graphs and timelines. It automates complex processes such as data governance, compliance monitoring, data quality improvement, DSAR/disclosure handling, and cloud/legacy system migration, while preserving access controls, permissions, and audit trails. -
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Dawiso
Dawiso
Dawiso is your modern platform for managing and understanding data, built to unify governance and usability in a way that works for your entire organization. At its core is a powerful, AI-powered data catalog, enabling teams to quickly discover, interpret, and access trusted data across systems, reports, and business tools. With flexible governance features and business-friendly documentation apps, Dawiso bridges the gap between technical and non-technical users, fostering true collaboration. Enhance trust in your data with clear, visual data lineage that maps relationships across sources and systems, giving you full context and control. Support compliance through customizable workflows, role-based access, and structured metadata capture.Starting Price: $49 per user per month -
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DryvIQ
DryvIQ
Gain deep and robust insight into your unstructured enterprise data to gauge risk, mitigate threats and vulnerabilities, while enabling better business decisions. Classify, label and organize unstructured data at enterprise scale. Enable rapid, accurate and detailed identification of sensitive and high-risk files and provide deep insight via A.I. Enable continuous visibility across both new and existing unstructured data. Enforce policy, compliance and governance decisions without reliance upon manual input from users. Expose dark data while automatically classifying and organizing sensitive and other content groups at scale—so you can make intelligent decisions on where and how to migrate that data. The platform also enables both simple and advanced file transfers across virtually any cloud service, network file system or legacy ECM platform, at scale. -
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VE3 DataWise
VE3 Global
DataWise is a purpose-built solution for SAP data modernization. It bridges SAP (ECC or S/4HANA) and the Databricks Lakehouse to transform siloed operational data into a trusted, analytics-ready foundation for real-time decisions and AI innovation. DataWise accelerates value with SAP-native connectors and prebuilt models for common modules (SD, MM, PM, Finance, Ariba, SuccessFactors). Automated ELT pipelines land data into Delta Lake, while MatchX AI-powered data quality engine performs cleansing, standardization, deduplication, and entity matching to raise data accuracy and completeness at scale. Governance is enforced end-to-end through Unity Catalog, fine-grained access controls, and lineage. Once standardized and governed, DataWise activates your SAP data across BI dashboards, machine-learning features, and event-driven workflows without disrupting core ERP. -
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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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Teleskope
Teleskope
Teleskope is a modern data protection platform designed to automate data security, privacy, and compliance at enterprise scale. It continuously discovers and catalogs data across cloud, SaaS, structured, and unstructured sources, classifying over 150 entity types such as PII, PHI, PCI, and secrets with high precision and high throughput. Once sensitive data is identified, Teleskope enables automated remediation, such as redaction, masking, encryption, deletion, and access correction, while integrating into developer workflows via its API-first model and supporting deployment as SaaS, managed, or self-hosted. The platform also builds prevention capabilities, embedding into SDLC pipelines to stop sensitive data from entering production systems, support safe AI adoption (without using unchecked sensitive data), handle data subject rights requests (DSARs), and map findings to regulatory standards (GDPR, CPRA, PCI-DSS, ISO, NIST, CIS). -
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Hackolade
Hackolade
Hackolade Studio is a powerful data modeling platform that supports a wide range of technologies including relational SQL and NoSQL databases, cloud data warehouses, APIs, streaming platforms, and data exchange formats. Designed for modern data architecture, it enables users to visually design, document, and evolve schemas across systems like Oracle, PostgreSQL, Databricks, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Hackolade Studio offers forward and reverse engineering, schema versioning, model validation, and integration with metadata catalogs such as Unity Catalog and Collibra. It empowers data architects, engineers, and governance teams to collaborate on consistent, governed, and scalable data models. Whether building data products, managing API contracts, or ensuring regulatory compliance, Hackolade Studio streamlines the process in one unified interface.Starting Price: €175 per month -
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DataNimbus
DataNimbus
DataNimbus is an AI-powered platform that streamlines payments and accelerates AI adoption through innovative, cost-efficient solutions. By seamlessly integrating with Databricks components like Spark, Unity Catalog, and ML Ops, DataNimbus enhances scalability, governance, and runtime operations. Its offerings include a visual designer, a marketplace for reusable connectors and machine learning blocks, and agile APIs, all designed to simplify workflows and drive data-driven innovation. -
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OpenText Unstructured Data Analytics
OpenText
OpenText™ Unstructured Data Analytics products employ AI and machine learning to help organizations uncover and leverage key insights stored deep within their unstructured data, including text, audio, video, and images. Organizations can connect all their data to understand the context and information locked inside high-growth unstructured content—at scale. Discover insights hidden within all types of media with unified text, speech, and video analytics that support more than 1,500 data formats. Use natural language processing, optical character recognition (OCR), and other AI-powered models to understand and track the meaning within unstructured data. Employ the latest innovations in machine learning and deep neural networks to understand written and spoken language in data, revealing greater insights. -
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Augment your cross-channel DLP with AI-powered classification. Proofpoint Intelligent Classification and Protection is an AI-powered approach to classifying your business-critical data. It recommends actions based on risk accelerating your enterprise DLP program. Our Intelligent Classification and Protection solution helps you understand your unstructured data in a fraction of the time required by legacy approaches. It categorizes a sample of your files using a pre-trained AI-model. And it does this across file repositories both in the cloud and on-premises. With our two-dimensional classification, you get the business context and confidentiality level you need to better protect your data in today’s hybrid world.
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While not all models are created equal, every model needs governance to drive responsible and ethical decision-making throughout the business. IBM® watsonx.governance™ toolkit for AI governance allows you to direct, manage and monitor your organization’s AI activities. It employs software automation to strengthen your ability to mitigate risks, manage regulatory requirements and address ethical concerns for both generative AI and machine learning (ML) models. Access automated and scalable governance, risk and compliance tools that cover operational risk, policy management, compliance, financial management, IT governance and internal or external audits. Proactively detect and mitigate model risks while translating AI regulations into enforceable policies for automatic enforcement.Starting Price: $1,050 per month
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Qubole
Qubole
Qubole is a simple, open, and secure Data Lake Platform for machine learning, streaming, and ad-hoc analytics. Our platform provides end-to-end services that reduce the time and effort required to run Data pipelines, Streaming Analytics, and Machine Learning workloads on any cloud. No other platform offers the openness and data workload flexibility of Qubole while lowering cloud data lake costs by over 50 percent. Qubole delivers faster access to petabytes of secure, reliable and trusted datasets of structured and unstructured data for Analytics and Machine Learning. Users conduct ETL, analytics, and AI/ML workloads efficiently in end-to-end fashion across best-of-breed open source engines, multiple formats, libraries, and languages adapted to data volume, variety, SLAs and organizational policies. -
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Privacera
Privacera
At the intersection of data governance, privacy, and security, Privacera’s unified data access governance platform maximizes the value of data by providing secure data access control and governance across hybrid- and multi-cloud environments. The hybrid platform centralizes access and natively enforces policies across multiple cloud services—AWS, Azure, Google Cloud, Databricks, Snowflake, Starburst and more—to democratize trusted data enterprise-wide without compromising compliance with regulations such as GDPR, CCPA, LGPD, or HIPAA. Trusted by Fortune 500 customers across finance, insurance, retail, healthcare, media, public and the federal sector, Privacera is the industry’s leading data access governance platform that delivers unmatched scalability, elasticity, and performance. Headquartered in Fremont, California, Privacera was founded in 2016 to manage cloud data privacy and security by the creators of Apache Ranger™ and Apache Atlas™. -
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SAP Business Data Cloud is a fully managed SaaS solution that unifies and governs all SAP data while seamlessly connecting with third-party data, providing line-of-business leaders with the context needed to make impactful decisions. It offers mission-critical data products, granting access to SAP data across essential business processes in a deeply contextual and governed manner, thereby eliminating the high costs associated with data extraction and replication. As a leading data platform, it enables the connection of all SAP and third-party data through a fully managed SaaS solution in collaboration with Databricks. The platform delivers powerful insight applications, facilitating transformational insights for advanced analytics and planning across various lines of business. By harmonizing all mission-critical data within an open data ecosystem and leveraging a robust semantic layer, SAP Business Data Cloud provides unparalleled business understanding.
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AddToIt
AddToIt
We extract, restructure, and process data from all types of documents and forms, including web pages, PDFs, DOC files, and more. We handle all phases of the ETL (Extract, Transform, Load) process. We specialize in transforming complex, unstructured data into accurate, actionable data – from any format to any format. Do you have a difficult problem that no one else can solve? We have almost 20 years of data collection and processing experience. AddToIt can help! We provide services in both English and Chinese. All of our work is performed in the US, and is governed by US contractual law. AddToIt.com, Inc. was founded in 2000 and it is based in Bedford, Massachusetts, United States. We develop technologies to solve problems of accessing unstructured data. Our business model is to provide data as a service. We are customer-focussed and provide the highest quality of service with very competitive prices. -
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IBM InfoSphere® Information Governance Catalog is a web-based tool that allows you to explore, understand and analyze information. You can create, manage and share a common business language, document and enact policies and rules, and track data lineage. Combine with IBM Watson® Knowledge Catalog to leverage existing curated data sets and extend your on-premises Information Governance Catalog investment to the cloud. A knowledge catalog allows you to put collected metadata into the hands of knowledge workers so data science and analytics communities can get easy access to the best assets for their purpose while still adhering to enterprise governance requirements. Provides a common business language and vocabulary to enable a deeper understanding of all your data assets, structured, semi-structured and unstructured. Documents governance policies and enacts rules to help you define how information should be structured, stored, transformed and moved.
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Amazon DataZone
Amazon
Amazon DataZone is a data management service that enables customers to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. It allows administrators and data stewards to manage and control access to data using fine-grained controls, ensuring that users have the appropriate level of privileges and context. The service simplifies data access for engineers, data scientists, product managers, analysts, and business users, facilitating data-driven insights through seamless collaboration. Key features of Amazon DataZone include a business data catalog for searching and requesting access to published data, project collaboration tools for managing and monitoring data assets, a web-based portal providing personalized views for data analytics, and governed data sharing workflows to ensure appropriate data access. Additionally, Amazon DataZone automates data discovery and cataloging using machine learning. -
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Build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio empowers you to operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. Unite teams, simplify AI lifecycle management and accelerate time to value with an open, flexible multicloud architecture. Automate AI lifecycles with ModelOps pipelines. Speed data science development with AutoAI. Prepare and build models visually and programmatically. Deploy and run models through one-click integration. Promote AI governance with fair, explainable AI. Drive better business outcomes by optimizing decisions. Use open source frameworks like PyTorch, TensorFlow and scikit-learn. Bring together the development tools including popular IDEs, Jupyter notebooks, JupterLab and CLIs — or languages such as Python, R and Scala. IBM Watson Studio helps you build and scale AI with trust and transparency by automating AI lifecycle management.
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Coactive
Coactive
Coactive supercharges data-driven businesses. We bring structure to unstructured data and help analysts to make image and video data useful. Bringing unprecedented insights, ease of use, and blistering speeds, we can make machine learning your new superpower. Don't waste your time flipping through photos or scrubbing through videos. With a word or phrase, you can search your content library and refine the taxonomy of your content. Your data is constantly evolving, and Coactive is here to help. Use our API and Python SDKs to understand and monitor your data as it's coming in. Coactive is prioritizing integrity alongside sales in a way that will ultimately benefit both the company and customers. Coactive AI is an industry-leading machine learning platform that enables businesses of all sizes to analyze their unstructured image data in minutes. Our interface is clean, intuitive, and user-friendly, and our platform is blisteringly fast. -
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Supametas.AI
Supametas.AI
Supametas.AI is a platform that transforms unstructured data into structured formats suitable for use in large language models (LLMs) and retrieval-augmented generation (RAG) systems. The platform is designed to simplify data collection, construction, and preprocessing for industry-specific datasets, making it easier for companies to bypass complex data cleaning processes. Users can convert data from multiple sources such as APIs, URLs, local files, images, audio, and video into JSON and Markdown formats, which are then seamlessly integrated into LLM RAG knowledge bases. -
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CoComply
CoComply
CoComply’s Certification Platform provides a top-down view of data and AI criticality, guiding organizations through a four-phase process to achieve governance, certification, and monetization readiness for their data and AI assets. Designed to streamline Data and AI Governance, the platform helps organizations organize, manage, and certify their assets in alignment with regulatory standards and compliance requirements. The platform is powered by two key modules: 1) Regulatory Intelligence 2) Certification Management CoComply provides organizations with a systematic pathway to achieve compliance, audit readiness, and certification of their data and AI assets. Since 2008 more than 200 data and AI use cases have been certified for compliance, risk and monetization by using our certification framework.Starting Price: $999 -
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Playmaker
Playmaker
Playmaker is a document automation platform that transforms unstructured data from various sources, such as PDFs, images, spreadsheets, and web data, into actionable, structured formats. It offers over 100 templated document workflows, including financial statements, purchase orders, invoices, and contracts, enabling users to streamline processes like data extraction, validation, and integration with other applications. Users can import documents via email, API, or manual upload, and the platform converts this unstructured data into clear, tabular formats suitable for powering workflows across more than 300 applications. Playmaker emphasizes security and compliance, with data stored and processed exclusively in the European Union and the United States, adherence to regulations like GDPR and CCPA, and features such as AES-256 encryption and role-based access control.Starting Price: $299 per month -
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Wolfram Data Science Platform
Wolfram
Wolfram Data Science Platform lets you use data sources that are structured or unstructured, and static or real-time. Use the power of WDF and the same linguistics as in Wolfram|Alpha to convert unstructured data to structured form, with automated or guided destructuring and disambiguation. Wolfram Data Science Platform uses industry database connection technology to bring database content into its highly flexible internal symbolic representation. Wolfram Data Science Platform can natively read hundreds of data formats, converting them. Wolfram Data Science Platform works with images, text, networks, geometry, sounds, GIS data and much more. Using the breakthrough symbolic data representation in the Wolfram Language, Wolfram Data Science Platform can seamlessly handle both SQL-style and NoSQL data. Wolfram Data Science Platform automatically constructs a sophisticated interactive report, using algorithms to identify interesting features of your data to visualize and highlight. -
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Datatron
Datatron
Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you. Most teams discover that there’s more to just deploying models, which is already a very manual and time-consuming task. Datatron offers single model governance and management platform for all of your ML, AI, and Data Science models in production. We help you automate, optimize, and accelerate your ML models to ensure that they are running smoothly and efficiently in production. Data Scientists use a variety of frameworks to build the best models. We support anything you’d build a model with ( e.g. TensorFlow, H2O, Scikit-Learn, and SAS ). Explore models built and uploaded by your data science team, all from one centralized repository. Create a scalable model deployment in just a few clicks. Deploy models built using any language or framework. Make better decisions based on your model performance. -
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Forcepoint Data Classification
Forcepoint
Forcepoint Data Classification leverages Machine Learning (ML) and Artificial Intelligence (AI) to increase the accuracy of data classification for unstructured data to improve your team’s efficiency, reduce false alerts and better prevent data loss. Insight generated using AI drives an innovative approach to classification so you can accurately and efficiently determine how data should be classified, at scale. Coverage of the broadest range of data types in the industry powers efficiency and streamlines compliance while delivering better protection for organizations’ data. Increase the speed and efficiency of data classification to reduce false positives and spend more time on legitimate data security incidents. Forcepoint enables organizations to discover, classify, monitor, and protect data with a complementary suite of data security products. Gain a panoramic view of unstructured data across your organization. -
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Dymium
Dymium
Dymium is the real-time data governance layer that ensures AI agents, applications, and analytics only access the precise information they’re permitted to see. Powered by its Ghost Layer architecture, Dymium evaluates every request as it happens, enforcing identity-, role-, and context-aware policies instantly. Sensitive data never needs to be copied, staged, or broadly exposed—access is governed directly at the source through GhostDB, GhostAPI, and GhostMCP. This enables teams to work at inference speed without creating compliance or security risk. Every interaction is logged and auditable in real time, supporting GDPR, HIPAA, and AI Act requirements by default. With Dymium, organizations unlock more data safely while eliminating over-permissioning, data duplication, and operational bottlenecks. -
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i2
N. Harris Computer Corporation
Turn overwhelming and disparate data from multiple sources into actionable intelligence in near-real time to make informed decisions. Quickly find hidden connections and critical patterns buried in internal, external, and open-source data. Experience i2’s world-class intelligence analysis software for yourself. Request an i2 demo and learn how to uncover critical connections and hidden insights faster than ever. Track critical missions across law enforcement, fraud and financial crime, military defense, and national security and intelligence sectors with the i2 intelligence analysis platform. Capture and fuse structured and unstructured data from internal and external sources, including OSINT and dark web data, to provide an expansive data pool to search and discover over. Fuse advanced analytics with sophisticated geospatial, visual, graph, temporal, and social analysis capabilities to give analysts greater situational awareness. -
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IBM® Unified Governance and Integration Platform is a robust and flexible offering with world class data governance and integration capabilities that enable your organization to identify, manage, and explore data for insights. The offering provides great flexibility; you can buy entitlement to various capabilities in flex points which do not expire and can be applied to any product within the portfolio bundle as the needs of the business evolve over time. Unified Governance and Integration Platform offering is a full suite of IBM offerings in data governance, data integration and data movement, master data management, and information lifecycle governance. It is designed to meet the needs of the enterprise in the new age of ubiquitous data, structured and unstructured, on premise or in the private or public cloud. In a digital economy, where the barriers to entry are constantly being lowered, data-driven insights are often the only real source of differentiation.
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Dataiku
Dataiku
Dataiku is an advanced data science and machine learning platform designed to enable teams to build, deploy, and manage AI and analytics projects at scale. It empowers users, from data scientists to business analysts, to collaboratively create data pipelines, develop machine learning models, and prepare data using both visual and coding interfaces. Dataiku supports the entire AI lifecycle, offering tools for data preparation, model training, deployment, and monitoring. The platform also includes integrations for advanced capabilities like generative AI, helping organizations innovate and deploy AI solutions across industries. -
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Rational Governance
Rational Enterprise
Rational Governance is an enterprise software platform powering industry-based solutions involving the identification, understanding, classification, and management of data. Its core technologies are: Lightweight software deployed against an organization’s critical unstructured data sources (e.g., PCs, mail systems, file shares, document management systems, etc.) that feeds a unified index of content residing in those stores. A central server, allowing centralized search and in-place administration and control of all indexed content; and Advanced analytical tools, including advanced machine-learning algorithms that enable automated content classification and big data analytics. Management of data is effectuated via our analytical tools on a policy- or project-basis. Management includes the ability to preserve, destroy, copy, move, or be alerted to the existence of any piece of content across the enterprise from a central location. -
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DataChain
iterative.ai
DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.Starting Price: Free -
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Dimension Labs
Dimension Labs
Dimension Labs is a customer observability and language data infrastructure platform built to turn unstructured conversational data from sources like chat, email, voice, surveys, and social media into structured, analytics-ready insights. It eliminates the need for manual tagging by using AI-driven enrichment and dynamic labeling to surface evolving themes, customer sentiment, escalation causes, and feature requests. By unifying omni-channel inputs under a common model, the platform supports real-time dashboards, drill-downs, and context-aware analytics, letting teams explore root causes, monitor emerging trends, and connect conversation metrics with business outcomes. Dimension Labs integrates via APIs or one-click connectors with chat tools, CRMs, contact centers, surveys, and social platforms, allowing seamless ingestion from sources like Intercom, Twilio, Slack, and more. -
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Logstash
Elasticsearch
Centralize, transform & stash your data. Logstash is a free and open server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to your favorite "stash." Logstash dynamically ingests, transforms, and ships your data regardless of format or complexity. Derive structure from unstructured data with grok, decipher geo coordinates from IP addresses, anonymize or exclude sensitive fields, and ease overall processing. Data is often scattered or siloed across many systems in many formats. Logstash supports a variety of inputs that pull in events from a multitude of common sources, all at the same time. Easily ingest from your logs, metrics, web applications, data stores, and various AWS services, all in continuous, streaming fashion. Download: https://sourceforge.net/projects/logstash.mirror/ -
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Graviti
Graviti
Unstructured data is the future of AI. Unlock this future now and build an ML/AI pipeline that scales all of your unstructured data in one place. Use better data to deliver better models, only with Graviti. Get to know the data platform that enables AI developers with management, query, and version control features that are designed for unstructured data. Quality data is no longer a pricey dream. Manage your metadata, annotation, and predictions in one place. Customize filters and visualize filtering results to get you straight to the data that best match your needs. Utilize a Git-like structure to manage data versions and collaborate with your teammates. Role-based access control and visualization of version differences allows your team to work together safely and flexibly. Automate your data pipeline with Graviti’s built-in marketplace and workflow builder. Level-up to fast model iterations with no more grinding. -
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NovaceneAI
NovaceneAI
NovaceneAI offers a platform that automates the transformation of unstructured text data into actionable insights at scale using artificial intelligence. The platform provides data engineers and data scientists with complete control through a flexible RESTful API and a powerful interface, while also offering a user-friendly web-based experience for business analysts. It features theme-based analysis to track theme-specific sentiment, allowing users to extract experience areas from open-ended comments and measure sentiment in context. The platform is designed to reduce the manual effort involved in organizing unstructured data, enabling analysts to focus more on deriving valuable insights. NovaceneAI has been trusted by leading organizations, including KPMG, ArgylePR, Advanced Symbolics, ListedTech, Laval University, and Toronto Metropolitan University, to improve efficiencies and achieve consistent, systematic results. -
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Medallia
Medallia
Medallia allows you to thoughtfully and systematically engage your users with targeted, in-the-moment surveys across digital and traditional touchpoints. Our easily implemented survey solutions ensure you're gathering relevant, actionable data to make measurable customer impact. Once the customer survey data is collected, Medallia's AI technology uses machine learning to analyze structured and unstructured data to uncover sentiment, find commonalities, predict behavior, anticipate needs and prescribe actions to improve experiences. Build the most effective surveys for your customer journeys. Rapidly manage change and innovation to every aspect of your experience management program—from design to emails, questions and translations—with sophisticated targeting logic, flexible conditioning and distribution. Medallia surveys allow you to -
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OPAQUE
OPAQUE Systems
OPAQUE Systems offers a leading confidential AI platform that enables organizations to securely run AI, machine learning, and analytics workflows on sensitive data without compromising privacy or compliance. Their technology allows enterprises to unleash AI innovation risk-free by leveraging confidential computing and cryptographic verification, ensuring data sovereignty and regulatory adherence. OPAQUE integrates seamlessly into existing AI stacks via APIs, notebooks, and no-code solutions, eliminating the need for costly infrastructure changes. The platform provides verifiable audit trails and attestation for complete transparency and governance. Customers like Ant Financial have benefited by using previously inaccessible data to improve credit risk models. With OPAQUE, companies accelerate AI adoption while maintaining uncompromising security and control. -
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Adarga
Adarga
We are faced with overwhelming volumes of unstructured data, news feeds, reports, presentations, videos, etc. There is a powerful competitive advantage for organizations able to exploit unstructured data, yet only 1% are able to leverage it as a strategic asset. Adarga’s knowledge platform processes unstructured data at a speed simply unachievable by humans alone, presenting it in comprehensible formats. Users can accelerate reporting, analyze complex situations and understand intricate networks with out-of-the-box AI capability that enhances human decision-making. The Adarga knowledge platform transforms productivity and extends human capability by automating time and knowledge-intensive tasks. It uses cutting-edge AI techniques, including natural language processing and network science, to understand and analyze unstructured data at speed, fusing it into a single, secure software platform. -
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VoyagerAnalytics
Voyager Labs
Every day, an immense amount of publicly available, unstructured data is produced on the open, deep, and dark web. The ability to gain immediate and actionable insights from this vast amount of data is critical for any investigation. VoyagerAnalytics is an AI-based analysis platform, designed to analyze massive amounts of unstructured open, deep, and dark web data, as well as internal data, in order to reveal actionable insights. The platform enables investigators to uncover social whereabouts and hidden connections between entities and focus on the most relevant leads and critical pieces of information from an ocean of unstructured data. Simplify data gathering, analysis and smart visualization that would take months to handle. It presents the most relevant and important information in near real-time, saving resources normally spent retrieving, processing, and analyzing vast amounts of unstructured data. -
47
Maximize the value of all your organization’s structured and unstructured data with exceptional functionalities for data integration, quality, and cleansing. SAP Data Services software improves the quality of data across the enterprise. As part of the information management layer of SAP’s Business Technology Platform, it delivers trusted,relevant, and timely information to drive better business outcomes. Transform your data into a trusted, ever-ready resource for business insight and use it to streamline processes and maximize efficiency. Gain contextual insight and unlock the true value of your data by creating a complete view of your information with access to data of any size and from any source. Improve decision-making and operational efficiency by standardizing and matching data to reduce duplicates, identify relationships, and correct quality issues proactively. Unify critical data on premise, in the cloud, or within Big Data by using intuitive tools.
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48
Tokern
Tokern
Open source data governance suite for databases and data lakes. Tokern is a simple to use toolkit to collect, organize and analyze data lake's metadata. Run as a command-line app for quick tasks. Run as a service for continuous collection of metadata. Analyze lineage, access control and PII datasets using reporting dashboards or programmatically in Jupyter notebooks. Tokern is an open source data governance suite for databases and data lakes. Improve ROI of your data, comply with regulations like HIPAA, CCPA and GDPR and protect critical data from insider threats with confidence. Centralized metadata management of users, datasets and jobs. Powers other data governance features. Track Column Level Data Lineage for Snowflake, AWS Redshift and BigQuery. Build lineage from query history or ETL scripts. Explore lineage using interactive graphs or programmatically using APIs or SDKs. -
49
BDB Platform
Big Data BizViz
BDB is a modern data analytics and BI platform which can skillfully dive deep into your data to provide actionable insights. It is deployable on the cloud as well as on-premise. Our exclusive microservices based architecture has the elements of Data Preparation, Predictive, Pipeline and Dashboard designer to provide customized solutions and scalable analytics to different industries. BDB’s strong NLP based search enables the user to unleash the power of data on desktop, tablets and mobile as well. BDB has various ingrained data connectors, and it can connect to multiple commonly used data sources, applications, third party API’s, IoT, social media, etc. in real-time. It lets you connect to RDBMS, Big data, FTP/ SFTP Server, flat files, web services, etc. and manage structured, semi-structured as well as unstructured data. Start your journey to advanced analytics today. -
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Data Lakes on AWS
Amazon
Many Amazon Web Services (AWS) customers require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is a new and increasingly popular way to store and analyze data because it allows companies to manage multiple data types from a wide variety of sources, and store this data, structured and unstructured, in a centralized repository. The AWS Cloud provides many of the building blocks required to help customers implement a secure, flexible, and cost-effective data lake. These include AWS managed services that help ingest, store, find, process, and analyze both structured and unstructured data. To support our customers as they build data lakes, AWS offers the data lake solution, which is an automated reference implementation that deploys a highly available, cost-effective data lake architecture on the AWS Cloud along with a user-friendly console for searching and requesting datasets.
