Alternatives to SOLIXCloud
Compare SOLIXCloud alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to SOLIXCloud in 2026. Compare features, ratings, user reviews, pricing, and more from SOLIXCloud 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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IRI Voracity
IRI, The CoSort Company
Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it. Only in Voracity can you: 1) CLASSIFY, profile and diagram enterprise data sources 2) Speed or LEAVE legacy sort and ETL tools 3) MIGRATE data to modernize and WRANGLE data to analyze 4) FIND PII everywhere and consistently MASK it for referential integrity 5) Score re-ID risk and ANONYMIZE quasi-identifiers 6) Create and manage DB subsets or intelligently synthesize TEST data 7) Package, protect and provision BIG data 8) Validate, scrub, enrich and unify data to improve its QUALITY 9) Manage metadata and MASTER data. Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data -
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OpenDQ
Infosolve Technologies, Inc
OpenDQ is an enterprise zero license cost data quality, master data management and data governance solution. Built on a modular architecture, OpenDQ scales with your enterprise data management needs. OpenDQ delivers trusted data with a machine learning and artificial intelligence based framework: Comprehensive Data Quality Matching Profiling Data/Address Standardization Master Data Management Customer 360 View Data Governance Business Glossary Meta Data ManagementStarting Price: $0 -
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Alation
Alation
The Alation Agentic Data Intelligence Platform enables organizations to scale and accelerate their AI and data initiatives. By unifying search, cataloging, governance, lineage, and analytics, it transforms metadata into a strategic asset for decision-making. The platform’s AI-powered agents—including Documentation, Data Quality, and Data Products Builder—automate complex data management tasks. With active metadata, workflow automation, and more than 120 pre-built connectors, Alation integrates seamlessly into modern enterprise environments. It helps organizations build trusted AI models by ensuring data quality, transparency, and compliance across the business. Trusted by 40% of the Fortune 100, Alation empowers teams to make faster, more confident decisions with trusted data. -
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Onna
Reveal
Connect and search across an ever-growing list of cloud platforms with Onna, a real-time search solution. Onna assists users in accessing eDiscovery and finding high-value items across legal departments. Onna provides users with reporting, document sharing, collaborating, compliance managing, and more. Onna also integrates well with different data sources like Gmail, DropBox, and Confluence. -
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Azure AI Search
Microsoft
Deliver high-quality responses with a vector database built for advanced retrieval augmented generation (RAG) and modern search. Focus on exponential growth with an enterprise-ready vector database that comes with security, compliance, and responsible AI practices built in. Build better applications with sophisticated retrieval strategies backed by decades of research and customer validation. Quickly deploy your generative AI app with seamless platform and data integrations for data sources, AI models, and frameworks. Automatically upload data from a wide range of supported Azure and third-party sources. Streamline vector data processing with built-in extraction, chunking, enrichment, and vectorization, all in one flow. Support for multivector, hybrid, multilingual, and metadata filtering. Move beyond vector-only search with keyword match scoring, reranking, geospatial search, and autocomplete.Starting Price: $0.11 per hour -
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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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Rocket Data Intelligence
Rocket Software
Rocket® Data Intelligence (RDI) delivers comprehensive visibility into enterprise data across mainframe, distributed, and cloud environments. It automatically discovers metadata, lineage, and data relationships so organizations can see where critical data resides, how it moves, and which applications and processes rely on it. RDI supports legacy and modern platforms, including Db2, VSAM, IMS, Adabas, Datacom, relational databases, ETL tools like Informatica and DataStage, code such as COBOL, Python, and Java, and cloud data stores. RDI provides enterprise-grade capabilities including automated data discovery and code parsing, impact analysis, lineage filtering, role/LOB-based categorization and governance, workflow management, business glossary, and dependency mapping. By unifying data asset visibility across hybrid environments, RDI reduces operational risk and accelerates data modernization, compliance reporting, discovery, and rationalization initiatives. -
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Blindata
Blindata
Blindata covers all the functions of a Data Governance program: Business Glossary, Data Catalog & Data Lineage build an integrated and complete view on your Data. Data Classification module gives a semantic meaning to the data while the Data Quality, Issue Management & Data Stewardship modules improve the reliability and trust on data. Moreover, privacy compliance can leverage specific features: registry of processing activities, centralized privacy note management, consent registry with Blockchain integrated notarization. Blindata Agent can connect to different data sources, collecting metadata such data structures (Tables, Views, Fields, …), data quality metrics, reverse lineage, etc. Blindata has a modular and entirely API based architecture allowing systematic integration with the most critical business systems (DBMS, Active Directory, e-commerce, Data Platforms). Blindata is available as SaaS, can be installed “on Premise” or purchased on AWS Marketplace.Starting Price: $1000/year/user -
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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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Alibaba Cloud Data Lake Formation
Alibaba Cloud
A data lake is a centralized repository used for big data and AI computing. It allows you to store structured and unstructured data at any scale. Data Lake Formation (DLF) is a key component of the cloud-native data lake framework. DLF provides an easy way to build a cloud-native data lake. It seamlessly integrates with a variety of compute engines and allows you to manage the metadata in data lakes in a centralized manner and control enterprise-class permissions. Systematically collects structured, semi-structured, and unstructured data and supports massive data storage. Uses an architecture that separates computing from storage. You can plan resources on demand at low costs. This improves data processing efficiency to meet the rapidly changing business requirements. DLF can automatically discover and collect metadata from multiple engines and manage the metadata in a centralized manner to solve the data silo issues. -
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Tree Schema Data Catalog
Tree Schema
The essential tool for metadata management. Automatically populate your entire catalog in under 5 minutes! Data Discovery. Find the data you need anywhere within your data ecosystem from the database all the way down to the specific values for each field. Automatically document your data from existing data stores. First-class support for tabular and unstructured data. Automated data governance actions. Data Lineage. Explore your data lineage and understand where your data comes from and where it is going. View impact analysis of changes Find all up and downstream impacts. Visualize relationships and connections. API AccessNew. Manage your data lineage as code and keep your catalog up to date with the Tree Schema API. Integrate Data Lineage into CICD pipelines Capture values & descriptions within your code Analyze impact for breaking changes. Data Dictionary. Know the key terms and lingo that drive your business. Define the context and scope for keywordsStarting Price: $99 per month -
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The Information Governance Suite is a set of products aimed at helping organizations to better discover, categorize, enhance, and govern their information assets regardless of the systems in which they are managed. Products in the suite include: - .discover, which connects to information systems to index and categorize unstructured and structured information assets - .policy, which allows organizations to create full lifecycle policies for information retention and disposal - .preserve, for digital asset preservation near the end of the asset lifecycle - .process, for automating content related actions like content categorization to help records teams deal with escalating workload The solution helps identify sensitive information that may reduce compliance with regulations like GDPR, as well as information that may be redundant, trivial, or obsolete.
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SOLIXCloud CDP
Solix Technologies
SOLIXCloud CDP delivers cloud data management as-a-service for modern data-driven enterprises. Built on opensource, cloud native technologies SOLIXCloud CDP helps companies manage and process all of their structured, semi-structured and unstructured data for advanced anaytics, compliance, infrastructure optimization and data security. With features such as Solix Connect for data ingestion, Solix Data Governance, Solix Metadata Management and Solix Search, SOLIXCloud CDP offers a comprehensive cloud data management application framework to build and run data-driven applications such as SQL data warehouse, machine learning and artifitial intelligience while fulfilling the ever growing data management requirements of complex data regulations, data retention and consumer data privacy. -
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exorbyte
exorbyte
Growing amounts of data, digital transformation and increasing compliance requirements call for intelligent technologies for the efficient use of all existing data. exorbyte offers you tailor-made Search & Match solutions that make all data available to humans and machines at lightning speed. Regardless of the structure, language, format and quality of the data. The master data search enables comprehensive, fuzzy searches in real time and millions of data records with just one search field. Error-tolerant, flexible across all fields, fully adjustable. The master data comparison offers the possibility of comparing whole or parts of data records with the master data. Without restrictions, regardless of errors, across databases. The master data recognition extracts identities from documents, letters or faxes and compares them with reference data. Fuzzy data matching and intelligent data extraction. -
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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. -
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Kylo
Teradata
Kylo is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects. Self-service data ingest with data cleansing, validation, and automatic profiling. Wrangle data with visual sql and an interactive transform through a simple user interface. Search and explore data and metadata, view lineage, and profile statistics. Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance. Design batch or streaming pipeline templates in Apache NiFi and register with Kylo to enable user self-service. Organizations can expend significant engineering effort moving data into Hadoop yet struggle to maintain governance and data quality. Kylo dramatically simplifies data ingest by shifting ingest to data owners through a simple guided UI. -
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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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Oracle MDM
Oracle
To fully understand master data management (MDM), we must first define and explain master data and differentiate between it and master data management. Master data is the critical business information that supports and classifies the transactional and analytical data of an enterprise. It may also be referred to as “enterprise data” or “metadata,” and often includes application-specific metadata, alternative business perspectives, corporate dimensions, reference data, and master data assets. Examples of enterprise data include chart of accounts, organization or cost-center structures, market segments, product categories, and more. Master data management (MDM) does exactly what the name implies—manages master data. MDM is the combination of applications and technologies that consolidates, cleanses, and augments this master data and synchronizes it with applications, business processes, and analytical tools. -
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Acryl Data
Acryl Data
No more data catalog ghost towns. Acryl Cloud drives fast time-to-value via Shift Left practices for data producers and an intuitive UI for data consumers. Continuously detect data quality incidents in real-time, automate anomaly detection to prevent breakages, and drive fast resolution when they do occur. Acryl Cloud supports both push-based and pull-based metadata ingestion for easy maintenance, ensuring information is trustworthy, up-to-date, and definitive. Data should be operational. Go beyond simple visibility and use automated Metadata Tests to continuously expose data insights and surface new areas for improvement. Reduce confusion and accelerate resolution with clear asset ownership, automatic detection, streamlined alerts, and time-based lineage for tracing root causes. -
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Apache Atlas
Apache Software Foundation
Atlas is a scalable and extensible set of core foundational governance services – enabling enterprises to effectively and efficiently meet their compliance requirements within Hadoop and allows integration with the whole enterprise data ecosystem. Apache Atlas provides open metadata management and governance capabilities for organizations to build a catalog of their data assets, classify and govern these assets and provide collaboration capabilities around these data assets for data scientists, analysts and the data governance team. Pre-defined types for various Hadoop and non-Hadoop metadata. Ability to define new types for the metadata to be managed. Types can have primitive attributes, complex attributes, object references; can inherit from other types. Instances of types, called entities, capture metadata object details and their relationships. REST APIs to work with types and instances allow easier integration. -
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RepoPro
Torry Harris Integration Solutions
RepoPro is an enterprise repository tool for IT Asset Modeling and IT Asset Management. RepoPro exposes its capabilities with REST APIs which makes it easily compatible. RepoPro is helping enterprises manage their assets through a unified, central repository using automation and a rich visualization of relationships between assets. You can now store, manage and find asset information accurately owing to a built-in shared communication channel that automates the process of exchanging metadata and information. Dynamic visualizations and insights enable Project and Program managers to plan better by foreseeing dependencies. Solution designers can derive meaningful information about policies and metadata with ease. Features: • Information Modeling • User Interface • Asset Life Cycle Management • Visualization • Access Control • Information Discovery • Integration -
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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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Imperva Data Security Fabric
Imperva
Protect data at scale with an enterprise-class, multicloud, hybrid security solution for all data types. Extend data security across multicloud, hybrid, and on-premises environments. Discover and classify structured, semi-structured, & unstructured. Prioritize data risk for both incident context and additional data capabilities. Centralize data management via a single data service or dashboard. Protect against data exposure and avoid breaches. Simplify data-centric security, compliance, and governance. Unify the view and gain insights to at-risk data and users. Supervise Zero Trust posture and policy enforcement. Save time and money with automation and workflows. Support for hundreds of file shares and data repositories including public, private, datacenter and third-party cloud services. Cover both your immediate needs & future integrations as you transform and extend use cases in the cloud. -
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OpenText Aviator Search
OpenText
OpenText Aviator Search is an AI-powered search UI that enables enterprise users to ask natural-language questions and get precise, referenced answers across 160+ repository types and 2,000+ file formats in minutes. It leverages AI and NLP to extract concepts from both structured and unstructured data, emails, Teams chats, SharePoint, documents protected by Azure Rights Management, images, and rich media, via a conversational interface and real-time analysis. Users can customize everything from clicks to chat workflows, activate interactive, chat-based search, and apply built-in OCR, object detection, and image classification to uncover insights within diverse content. Administrators benefit from GUI-driven connector management, role-based access controls, single sign-on integration, and PII/compliance checks, ensuring secure, permission-based discovery. -
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MirrorWeb
MirrorWeb
We help firms manage and evidence changes in their digital content. Through the MirrorWeb Insight platform we capture, archive and monitor web, SMS, email, instant messaging, mobile platforms and social media channels, ensuring digital communication regulations are met and content remains compliant. Our technology is unrivalled. Through cloud-archiving we provide data sovereignty and store archives in a legally admissible format (WORM). Once captured, your archives can be replayed and searched through our platform at any time. -
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Microsoft Purview
Microsoft
Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. Easily create a holistic, up-to-date map of your data landscape with automated data discovery, sensitive data classification, and end-to-end data lineage. Empower data consumers to find valuable, trustworthy data. Automated data discovery, lineage identification, and data classification across on-premises, multicloud, and SaaS sources. Unified map of your data assets and their relationships for more effective governance. Semantic search enables data discovery using business or technical terms. Insight into the location and movement of sensitive data across your hybrid data landscape. Establish the foundation for effective data usage and governance with Purview Data Map. Automate and manage metadata from hybrid sources. Classify data using built-in and custom classifiers and Microsoft Information Protection sensitivity labels.Starting Price: $0.342 -
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ActiveNav
ActiveNav
Identify sensitive data, optimize storage, and comply with privacy regulations. Take control of your sensitive data using a hybrid-cloud platform that allows you to quickly discover and map data across diverse data repositories. ActiveNav’s Inventory provides the insights you need to support all your data initiatives. By isolating and visually depicting data at scale, you can manage risky, stale data and make informed content decisions. Our platform tackles the hardest challenges behind discovering and mapping unstructured data, enabling you to gain value from your data like never before. Personal, sensitive data is hiding everywhere in your organization: on-premises, in the cloud, on file shares and servers, and throughout numerous other repositories. The platform is uniquely built to handle the challenges of mapping unstructured data repositories, enabling risk mitigation and compliance with evolving privacy laws and regulations. -
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Data360 Govern
Precisely
Your organization knows the value of data and the need to get it into the hands of business users for maximum impact, but without enterprise data governance, that data might be hard to find, understand, and trust. Data360 Govern is an enterprise data governance, catalog, and metadata management solution that gives you confidence in the quality, value, and trustworthiness of your data. It automates governance and stewardship tasks to help you answer essential questions about your data’s source, use, meaning, ownership, and quality. With Data360 Govern, you can make faster decisions on data usage and management, build collaboration across your entire organization, and allow users to get the answers they need – when they need them. Transparency into your organization’s data landscape gives you the power to track the critical data aligned with your most important business outcomes. -
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By managing data properly over its lifetime, organizations are better equipped to support business goals with less risk. Archive data from decommissioned applications and historical transaction records, while providing ongoing access to the data for query and reporting that is compliant with retention regulations. Scale data across applications, databases, operating systems and hardware platforms to help secure your test environments, accelerate release cycles and reduce costs. Lack of data archiving can impair the performance of mission-critical enterprise systems. Solve data growth problems at the source, improve efficiency and minimize the risks associated with managing structured data throughout its lifetime. Protect unstructured data in testing, development and analytics environments across the enterprise. Lack of data archiving can impair the performance of mission-critical enterprise systems. Solve data growth problems at the source, improve efficiency and minimize the risks.
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IBM Guardium Data Protection supports a zero trust approach to security. It discovers and classifies sensitive data from across the enterprise, providing real-time data activity monitoring and advanced user behavior analytics to help discover unusual activity around sensitive data. Guardium Data Protection is built on a scalable architecture, which provides full visibility into structured, semi-structured and unstructured data activity across all major data repositories—stored on-premises, in private and public cloud and in containers. Using a single interface, you can set access policies, monitor user access to protected data and discover, investigate and remediate vulnerabilities and threats as they occur in real time across your data environment.
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INDICA Enterprise Search
INDICA
INDICA Enterprise Search is the solution for companies to quickly browse through your systems and find the data you need within seconds. Unlike other Enterprise Search solutions, INDICA’s patented data platform indexes all structured and unstructured data and ranks the results to relevance. This makes it possible to find the exact data you need with a few clicks. The Enterprise Search solution is based on our Basic Data Platform and Enterprise Search Module and can be enriched with other features or modules to your demand. The Enterprise Search solution is equipped with an advanced query builder allowing users to easily create accurate search queries that only return relevant results. INDICA Enterprise Search allows to filter search results by document type, date, data source, paths and access. Users can also rank the results to date, name, size and much more. -
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Global IDs
Global IDs
Find out some of the best platform features provided by Global IDs, which brings in a set of Enterprise Data Solutions like data governance, data compliance, cloud migration, rationalization, privacy, analytics & much more! Global IDs EDA Platform feature comprises a set of core functions: automated discovery and profiling, data classification, data lineage, data quality and more – that render data transparent, trustworthy, and explainable across the ecosystem. Global IDs EDA platform architecture is designed for integration from the ground up with all platform functionality accessible via APIs. Global IDs EDA platform automates data management for enterprises of any size or data ecosystem. -
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Decube
Decube
Decube is a data management platform that helps organizations manage their data observability, data catalog, and data governance needs. It provides end-to-end visibility into data and ensures its accuracy, consistency, and trustworthiness. Decube's platform includes data observability, a data catalog, and data governance components that work together to provide a comprehensive solution. The data observability tools enable real-time monitoring and detection of data incidents, while the data catalog provides a centralized repository for data assets, making it easier to manage and govern data usage and access. The data governance tools provide robust access controls, audit reports, and data lineage tracking to demonstrate compliance with regulatory requirements. Decube's platform is customizable and scalable, making it easy for organizations to tailor it to meet their specific data management needs and manage data across different systems, data sources, and departments. -
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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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Docxonomy
Docxonomy
Docxonomy is an intelligent insight solution for the enterprise that lets you crawl and analyze unstructured and structured data behind the firewall regardless of where it is stored. Docxonomy leverages artificial intelligence and machine learning to analyze all types of files, including Office documents, PDFs, Videos, Audio, and Images. We draw context and meaning through this analysis, including industry terminology, enabling the platform to automatically classify files, identify entities, recognize similarity, and answer questions. You can deploy Docxonomy on-premise or in your cloud of choice, all without requiring a consulting project! Setup time is hours and days, not weeks and months. Our platform is ready-made and industry-specific so that you can start gaining value immediately. Leverage Docxonomy’s artificially intelligent solution to streamline your drug delivery process without costly migrations and expensive projects. -
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Axis AI
Axis Technical Group
There’s a wide range of solutions available today for automatically extracting data from structured and semi-structured content and documents, such as databases, websites, or paper-based forms, all of which can be easily read by machines using templates or sets of predefined or custom rules. However, some businesses such as real estate, healthcare, energy, and others still rely heavily on unstructured documents. These are inconsistent in layout or form, or contain key information in English-language sentences, paragraphs, or randomly throughout the documents, making them virtually impossible for machines to understand. Axis AI offers a far better choice with a revolutionary solution for classifying and extracting information from unstructured content. Using proprietary algorithms, including those used to perform Natural Language Processing (NLP), Axis AI reads and extracts data from sentences, paragraphs, or entire pages written in natural English. -
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Dasera
Dasera
Dasera is a Data Security Posture Management (DSPM) platform providing automated security and governance controls for structured and unstructured data across cloud and on-prem environments. Uniquely, Dasera monitors data in use while offering continuous visibility and automated remediation, preventing data breaches across the entire data lifecycle. Dasera provides continuous visibility, risk detection, and mitigation to align with business goals while ensuring seamless integration, unmatched security, and regulatory compliance. Through its deep understanding of the four data variables - data infrastructure, data attributes, data users, and data usage - Dasera promotes a secure data-driven growth strategy that minimizes risk and maximizes value, giving businesses a competitive edge in today's rapidly evolving digital landscape.Starting Price: 3 data stores at $20,000 -
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Cloudera Data Warehouse
Cloudera
Cloudera Data Warehouse is a cloud-native, self-service analytics solution that lets IT rapidly deliver query capabilities to BI analysts, enabling users to go from zero to query in minutes. It supports all data types, structured, semi-structured, unstructured, real-time, and batch, and scales cost-effectively from gigabytes to petabytes. It is fully integrated with streaming, data engineering, and AI services, and enforces a unified security, governance, and metadata framework across private, public, or hybrid cloud deployments. Each virtual warehouse (data warehouse or mart) is isolated and automatically configured and optimized, ensuring that workloads do not interfere with each other. Cloudera leverages open source engines such as Hive, Impala, Kudu, and Druid, along with tools like Hue and more, to handle diverse analytics, from dashboards and operational analytics to research and discovery over vast event or time-series data. -
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Hanzo
Hanzo
Empower you compliance and legal teams to get the most out of unstructured data with Hanzo Ediscovery & Compliance solutions. Collect & archive highly dynamic and interactive websites + work apps like Gsuite & Slack. If you can see it, we can collect it and preserve it for your archives. Book a demo today! Hanzo is solving the single biggest challenge in above-board compliance and litigation today, contextual investigation, capture, and preservation of dynamic web content. Through one sophisticated platform, you are empowered with the tools you need to capture and preserve team messaging data, social media engagement, and interactive web content then replicate it in legally-defensible native format for analysis and review. Hanzo serves government agencies, enterprises, and top law firms across the globe. Technology that ediscovery and compliance teams rely on to manage tomorrow’s biggest data challenges today. -
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Salesforce Data 360
Salesforce
Data 360 is Salesforce’s next-generation data platform, evolving from Data Cloud to unify and activate enterprise data in real time. It connects fragmented data across systems into a single, trusted Customer 360 view without requiring data movement. Through Zero-Copy integrations, Data 360 works directly with platforms like Snowflake, Databricks, BigQuery, and AWS. The platform harmonizes structured and unstructured data to power personalized experiences and intelligent workflows. Built-in identity resolution and governance tools ensure data accuracy, compliance, and privacy. Data 360 enables real-time segmentation, predictive insights, and triggered automation across Salesforce and external applications. It serves as the data foundation for Agentforce, delivering context-rich intelligence to AI agents and business teams. -
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Nirveda Cognition
Nirveda Cognition
Make Smarter, Faster & More Informed Decisions. Enterprise Document Intelligence Platform to turn data into Actionable Insights. Our versatile platform uses cognitive Machine Learning and Natural Language Processing algorithms to automatically classify, extract, enrich, and integrate relevant, timely, and accurate information from your documents. The solution is delivered as a service to lower the cost of ownership and accelerate time to value. How It Works. CLASSIFY. Ingest structured, semi-structured, or unstructured documents. Identify and classify documents based on semantic understanding of language and visual cues. Extract. Extracts words, short phrases, and sections of text from printed, handwritten, and tabular data. Detects the presence of a signature or page annotation. Easily review and make corrections to the extracted data. AI uses human corrections to learn and improve. Enrich. Customizable data verification, validation, standardization and normalization. -
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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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PanBI
PanApps
Gain valuable business insight by analyzing your structured, semi-structured and unstructured data using interactive visual interfaces. Personalized interactive dashboards provide rich insight to data. Organize and retrieve collections by user preferences and permissions. Add comments against datasets and share for public view or private use. Dynamically build visually appealing informative charts and maps. -
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eccenca Corporate Memory
eccenca
eccenca Corporate Memory provides a multi-disciplinary integrative platform for managing rules, constraints, capabilities, configurations, and data in a single application. Overcoming the limitations of traditional, application-centric (meta) data management models, its semantic knowledge graph is both highly extensible, integrative as well as interpretable both by machines and business users. The enterprise knowledge graph platform re-establishes global data transparency in enterprises as well as line-of-business ownership in a complex and dynamic data environment. It enables you to drive agility, autonomy, and automation without disrupting existing IT infrastructures. Corporate Memory integrates and links data from any source in a central knowledge graph. Use user-friendly SPARQL and JSON-LD frames to explore your global data landscape. The data management in the enterprise knowledge graph platform is implemented by HTTP identifiers and metadata. -
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Acceldata
Acceldata
Acceldata is an Agentic Data Management company helping enterprises manage complex data systems with AI-powered automation. Its unified platform brings together data quality, governance, lineage, and infrastructure monitoring to deliver trusted, actionable insights across the business. Acceldata’s Agentic Data Management platform uses intelligent AI agents to detect, understand, and resolve data issues in real time. Designed for modern data environments, it replaces fragmented tools with a self-learning system that ensures data is accurate, governed, and ready for AI and analytics. -
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Ohalo
Ohalo
Ohalo's Data X-Ray platform automates data governance tasks like: - Data Discovery & Classification - Data Mapping & Cataloguing - Redacting Files containing sensitive personal information - File Analysis & Data Extraction ⚡️ML-Driven Data Governance | 100,000 words/second | 300+ built-in Integrations | Integration with any DLP/SIEM | 360-degree Unstructured Data Visibility | Agentless | Supports 100s of formats | Find PII, payment card information (PCI), and protected health information (ePHI). | Custom connectors for individual data sources (bespoke/legacy) ⚡️ Designed for enterprises, Data X-Ray is provided as a self-managed or fully-managed service. Our customers rely on Data X-Ray for file activity monitoring, security enhancement, and privacy compliance. ⚡️ Deploy Data X-Ray in hours in cloud and on-premise environments ⚡️ Find sensitive data in minutes ⚡️ Easily classify files and records from multiple file repositories and locations -
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Activate business-ready data for AI and analytics with intelligent cataloging, backed by active metadata and policy management. IBM Watson® Knowledge Catalog is a data catalog tool that powers intelligent, self-service discovery of data, models and more. The cloud-based enterprise metadata repository activates information for AI, machine learning (ML) and deep learning. Access, curate, categorize and share data, knowledge assets and their relationships, wherever they reside. Organize, define and manage enterprise data to provide the right context and drive value across needs like regulatory compliance and data monetization. Protect data, manage compliance and audit-readiness, and maintain client trust with active policy management and dynamic masking of sensitive data. Consume and transform data at the speed of business with intuitive dashboards and flows that can be shared with peers or analytics tools.Starting Price: $300 per instance
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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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SylLab
SylLab Systems
SylLab Systems is providing embedded compliance for enterprise data security. Privacy compliance and cybersecurity are expensive and difficult to implement, and many organizations get it wrong. Changes in the architecture, lawyers, consultants are a significant expenditure when facing privacy regulations (HIPAA, GDPR, PDPA, CCPA). Request a demo to learn more. Privacy Regulations are expanding beyond the current framework of IT infrastructure. Adapting to such a change is costly, time-consuming, and requires legal and development expertise. There is a better, more structured approach to data governance that responds and adapts to your complex IT environment, whether it’s on-cloud or on-premise. Take control of your compliance workflow and shape it according to business logic. Learn more about the solution trusted by large financial institutions across the globe.
