Compare Dockit Metadata Manager vs. Oracle Enterprise Metadata Management

QuickApps is a No-code SharePoint application development and business process automation solution that is packed with powerful web apps. It enables business experts to create applications and automate business processes at an 80% faster turnaround time with a simple point-and-click configuration. QuickApps accelerates, simplifies, and democratizes app development to help organizations transform digitally. QuickApps can be used by the SharePoint On-Premise and SharePoint Online business users alike to: Create insightful Dashboards & Charts Automate business reports Data Consolidation and Aggregation Create Dynamic Navigation and Dynamic Forms More than 75,000 professionals and 200 organizations rely on QuickApps to accelerate and simplify app development on SharePoint.

CloudFiler provides filing and searching in both New and Classic Outlook on all phones & tablets, all popular browsers, Macs and ARM based devices. Created Microsoft's new web Add-in technology by the architect of the Oasys email management system previously owned by Arup Group Ltd and the Excitech Mail system owned by Symetri and latterly Pentagon. File to: the cloud, Windows folders, SharePoint, OneDrive, Egnyte, Autodesk Forma, Bentley ProjectWise, etc. Favoured by the biggest businesses globally.

PBRS is a third-party tool that enhances the functionality of Power BI reports by providing advanced features for scheduling, automation, and distribution. With PBRS, you can: - Schedule Power BI reports to run at specific dates and times, or set up recurring schedules based on custom frequencies. For example, you can schedule a report to run every hour, every other day, or on the third Monday of the month. - Automate Power BI reports to run based on specific events or conditions. For example, you can trigger a report to run when a database record is changed, when data is received on a port, when an unread email exists in a folder, or if a file exists. - Distribute Power BI reports in various formats and to multiple destinations. You can specify different filters, formats (such as Excel, PDF, or CSV), destinations (such as email, SharePoint, or network folders), and recipients for each scheduled report. This flexibility enables you to tailor the distribution of reports to meet the specific needs of your organization. PBRS works seamlessly with various Power BI environments, including Power BI Service (Pro and PPU), Power BI Report Server (On-Premises), Power BI Premium, and all editions of SQL Server Reporting Services

StackAI is an enterprise AI automation platform that allows organizations to build end-to-end internal tools and processes with AI agents. It ensures every workflow is secure, compliant, and governed, so teams can automate complex processes without heavy engineering. With a visual workflow builder and multi-agent orchestration, StackAI enables full automation from knowledge retrieval to approvals and reporting. Enterprise data sources like SharePoint, Confluence, Notion, Google Drive, and internal databases can be connected with versioning, citations, and access controls to protect sensitive information. AI agents can be deployed as chat assistants, advanced forms, or APIs integrated into Slack, Teams, Salesforce, HubSpot, ServiceNow, or custom apps. Security is built in with SSO (Okta, Azure AD, Google), RBAC, audit logs, PII masking, and data residency. Analytics and cost governance let teams track performance, while evaluations and guardrails ensure reliability before production. StackAI also offers model flexibility, routing tasks across OpenAI, Anthropic, Google, or local LLMs with fine-grained controls for accuracy. A template library accelerates adoption with ready-to-use workflows like Contract Analyzer, Support Desk AI Assistant, RFP Response Builder, and Investment Memo Generator. By consolidating fragmented processes into secure, AI-powered workflows, StackAI reduces manual work, speeds decision-making, and empowers teams to build trusted automation at scale.

Diplomat MFT from Coviant Software is a secure and scalable managed file transfer platform that replaces manual scripts and outdated FTP with reliable, automated file delivery. It supports secure protocols like SFTP, FTPS, HTTPS, and AS2, and integrates easily with cloud services including AWS S3, Azure Blob Storage, Google Cloud, Oracle Cloud, SharePoint, Dropbox, and more. Trusted for over 20 years without a single breach, Diplomat MFT helps organizations meet compliance standards like HIPAA, HITECH, GLBA, PCI/DSS, GDPR, and DORA. Advanced security features include automated PGP encryption, MFA, IP whitelisting, and threat intelligence scanning. Still using insecure or outdated tools for critical file transfers? Diplomat MFT is the smarter alternative. Built to simplify operations, close compliance gaps, and protect your most sensitive data. Start your free trial today.

6,000+ companies trust Files.com to automate and secure business critical transfers. We obsess about security, compliance, reliability, and performance so your critical business processes just work every time. Easily manage any transfer flow without writing scripts or code, and onboard workloads and partners effortlessly. We support standard file transfer protocols (FTP, SFTP, AS2) for working with external partners and also provide native apps for high performance internal transfers. As a fully Cloud-Native SaaS, there are no servers for you to buy or maintain, there is no installation required, and high availability and redundancy are built in and free. Our InfoSec Program is audited annually by Kirkpatrick Price, a leading information security CPA firm. Our audit covers the scope of the entire Files.com business (not just datacenter operations) and names Files.com specifically. Beware of smaller competitors who try to pass off someone else’s audit as their own. Technical capabilities include encryption at-rest and in-transit, four types of two-factor authentication, nine enterprise identity (SSO) integrations, configurable password and session policies, and a perfect “A+” score from Qualys SSL Labs.

SmartDraw makes professional drawings and diagrams accessible to everyone. Non-technical users can quickly create floor plans, while professionals get the precision and scale they require. With industry-leading floor planning tools and an intuitive interface for traditional diagramming like flowcharts and organizational charts, SmartDraw delivers enterprise-ready power without unnecessary complexity. Key features: - Large collection of symbols and templates - Ability to create custom shapes - Import PDFs, images, Google Maps, Visio files, Visio stencils - Draw to any scale - Enrich drawings with data - Generate manifest and bills of materials - Generate diagrams from data automatically like org charts, AWS, Azure, PI Boards, and more - Use natural language text prompts to generate diagrams with AI - Save files directly to OneDrive, SharePoint, or Google Drive, or other preferred provider - Integrations with the Microsoft and Google enterprise stack plus Confluence and Jira SmartDraw supports a wide range of industries and real-world use cases, helping teams plan, document, and communicate more effectively. Construction professionals use it to create scaled floor plans, site layouts, and electrical and plumbing drawings. Fire departments rely on it for fire pre-planning and incident documentation, while police departments use it for accident reconstruction and crime scene diagrams. IT teams build network diagrams and cloud architectures, HR leaders create organizational charts, and product managers map out processes and workflows. From physical layouts to business processes, SmartDraw provides a single platform that adapts to the needs of each role and industry.

DataHub is a versatile open-source metadata platform crafted to enhance data discovery, observability, and governance within various data environments. It empowers organizations to easily find reliable data, providing customized experiences for users while avoiding disruptions through precise lineage tracking at both the cross-platform and column levels. By offering a holistic view of business, operational, and technical contexts, DataHub instills trust in your data repository. The platform features automated data quality assessments along with AI-driven anomaly detection, alerting teams to emerging issues and consolidating incident management. With comprehensive lineage information, documentation, and ownership details, DataHub streamlines the resolution of problems. Furthermore, it automates governance processes by classifying evolving assets, significantly reducing manual effort with GenAI documentation, AI-based classification, and intelligent propagation mechanisms. Additionally, DataHub's flexible architecture accommodates more than 70 native integrations, making it a robust choice for organizations seeking to optimize their data ecosystems. This makes it an invaluable tool for any organization looking to enhance their data management capabilities.

SCIKIQ is one of the most innovative AI-native Data & Intelligence platforms for enterprises, built to make enterprise data AI-ready in weeks, not years. Recognized by Forrester among leading AI-augmented data platforms, NASSCOM League of 10, YourStory Tech30, Inc42 and DataIQ, SCIKIQ is trusted by leading global enterprises across the USA, India, and UAE. SCIKIQ brings Data Integration, Data Quality, Data Governance, Metadata Management, Data Lineage, Semantic Intelligence, Knowledge Graphs, Conversational Analytics, Generative AI, Data Products and AI Agents together in one unified platform. Unlike traditional data platforms that require enterprises to move or rebuild their technology stack, SCIKIQ works with what you already have. Connect SAP, Salesforce, Oracle, Snowflake, Databricks, AWS, Azure, GCP, data lakes, warehouses and enterprise applications through 200+ pre-built connectors, with no rip-and-replace. What makes SCIKIQ different is Contextual Intelligence. SCIKIQ doesn't just connect data; it helps AI understand its business meaning. Its semantic layer combines business terms, KPI definitions, metadata, lineage, ownership, rules, ontologies and relationships to create a trusted foundation for enterprise AI. Business users can talk to their data in natural language, investigate KPIs, discover root causes and generate insights without SQL. Data teams gain enterprise-grade governance, quality, lineage and control. AI teams get trusted, contextual data for building GenAI applications and intelligent AI agents. Why enterprises choose SCIKIQ AI-ready in 3–6 weeks | 167+ connectors | 99.9% availability | Multi-cloud | No-code | No vendor lock-in | No replatforming Proven production deployments across Manufacturing retail, airlines, logistics, BFSI

AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows. Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets. Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.