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SCIKIQSCIKIQ 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, UK 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, Healthcare and others
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Semarchy xDMExplore Semarchy’s adaptable unified data platform to enhance decision-making across your entire organization. Using xDM, you can uncover, regulate, enrich, clarify, and oversee your data effectively. Quickly produce data-driven applications through automated master data management and convert raw data into valuable insights with xDM. The user-friendly interfaces facilitate the swift development and implementation of applications that are rich in data. Automation enables the rapid creation of applications tailored to your unique needs, while the agile platform allows for the quick expansion or adaptation of data applications as requirements change. This flexibility ensures that your organization can stay ahead in a rapidly evolving business landscape.
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D&B ConnectMaximizing the value of your first-party data is essential for success. D&B Connect offers a customizable master data management solution that is self-service and capable of scaling to meet your needs. With D&B Connect's suite of products, you can break down data silos and unify your information into one cohesive platform. Our extensive database, featuring hundreds of millions of records, allows for the enhancement, cleansing, and benchmarking of your data assets. This results in a unified source of truth that enables teams to make informed business decisions with confidence. When you utilize reliable data, you pave the way for growth while minimizing risks. A robust data foundation empowers your sales and marketing teams to effectively align territories by providing a comprehensive overview of account relationships. This not only reduces internal conflicts and misunderstandings stemming from inadequate or flawed data but also enhances segmentation and targeting efforts. Furthermore, it leads to improved personalization and the quality of leads generated from marketing efforts, ultimately boosting the accuracy of reporting and return on investment analysis as well. By integrating trusted data, your organization can position itself for sustainable success and strategic growth.
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AnalyticsCreatorAnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer. Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI. The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments. AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model. The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents. Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.
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PlautiPlauti enhances data integrity within Salesforce and Microsoft Dynamics 365 CE, empowering teams to automate processes, generate reports, and leverage AI on reliable records. By ensuring that no information is sent to external servers, all operations occur within your CRM, allowing administrators to maintain complete control without needing to submit any IT requests. The solution addresses data quality throughout the entire record lifecycle, providing a comprehensive overview of data health for all objects and fields, enabling the entire team to operate with a consistent and accurate understanding. It facilitates the bulk cleaning of duplicates, standardizes data formatting, and verifies the validity of emails, phone numbers, and addresses. Additionally, Plauti proactively prevents poor-quality records from entering the system, whether they originate from manual input, imports, APIs, or AI-driven tools such as Agentforce and Copilot. Clean data can be immediately utilized for routing and downstream distribution, allowing AI to function effectively on dependable records. As Plauti is integrated directly with the infrastructure of Salesforce and Dynamics 365 CE, it seamlessly adopts your current permissions and security protocols, eliminating the need for separate logins, avoiding delays in data synchronization, and ensuring compliance with regulations. This deep integration not only optimizes workflow but also enhances trust in your data management processes.
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DataBuckEnsuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
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OkylineOkyline is an Executable Data Design (EDD) platform that transforms validation contracts into executable operational assets for enterprise data quality. Instead of multiplying specifications, custom validators, monitoring scripts, tests, and reporting layers, Okyline relies on a single readable contract shared across validation, quality control, and operational monitoring activities. The contract itself becomes executable and directly drives deterministic validation, advanced business invariant verification, multi-format processing, data quality gates, operational metrics, and historical quality analytics. Okyline validates APIs, enterprise events, files, streaming payloads, LLM structured outputs, and distributed data flows while continuously producing measurable quality indicators, completeness statistics, validation traces, and error propagation insights. Because contracts are created from annotated sample data, validation rules remain immediately understandable for developers, architects, QA teams, integration specialists, and business analysts. The Community Edition includes the public specification, a free Java validation runtime, a Claude AI assistant for contract generation, JSON Schema transpilation support, and a free online studio for executable JSON contracts. The Enterprise Edition extends the same contract-centric model to native validation of JSON, JSONL, XML, CSV, FIXED, and EDI flows, combined with operational quality dashboards, data quality gates, and long-term quality tracking capabilities, all without requiring databases, warehouses, or centralized infrastructure.
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IntellimasIntellimas offers a no code/low code software solution featuring a spreadsheet and form interface that enables customers to create web applications tailored to their specific business processes. Designed for rapid data entry, analytics, exception management, and seamless access to live data from various systems, Intellimas facilitates an effortless transition from traditional spreadsheets through its intuitive grid UI. This all-encompassing perspective, combined with the form view, empowers users to manage an endless array of use cases effectively. Intellimas can be implemented either on-premise or through our cloud platform, providing flexibility to meet diverse needs. After the initial implementation, customers often discover numerous additional applications for Intellimas within their organizations. Add Intellimas to your toolkit for building enterprise applications. We invite you to reach out for a demonstration and inquire about our complimentary trial offer to explore the capabilities of Intellimas further!
What is ON EBX?
ON EBX is a model-driven, multi-domain master data management platform that helps enterprises establish a centralized and governed foundation for master data, reference data, and metadata. The software is designed to address fragmented information, inconsistent records, duplicated data, and limited visibility across enterprise applications and departments. Its flexible data modeling capabilities allow organizations to define and evolve complex data structures based on their business requirements rather than relying exclusively on predefined schemas. ON EBX supports the management of relationships, hierarchies, business rules, and contextual information that help connect enterprise data to the processes and decisions it supports. Built-in data validation, governance workflows, and lifecycle controls help maintain data quality and consistency while reducing manual reconciliation activities. The platform provides Customer 360 capabilities for creating consistent customer records and improving visibility into customer information across business systems. Product data management tools help organizations maintain accurate product information and support processes related to product development, distribution, and time-to-market. Supplier data management capabilities improve the organization, visibility, and governance of supplier records and associated business relationships. Reference data management enables organizations to standardize common data values, classifications, and definitions across applications and operational processes. ON EBX also prepares structured, context-rich information for analytics, artificial intelligence, and large language model applications by enriching data with meaningful relationships and business context.
What is ER/Studio Enterprise Edition?
ER/Studio is an enterprise data modeling and architecture platform that helps organizations design, align, and govern data across complex, distributed environments. It translates business requirements into technical implementation through integrated conceptual, logical, and physical models, creating a consistent foundation for analytics, AI initiatives, modernization, compliance, and operational systems. ER/Studio supports modern data architectures, including data warehouses, lakehouses, data mesh frameworks, and data vault methodologies, ensuring models reflect how platforms are built today. By maintaining clear relationships between definitions and database structures, it establishes a trusted, enterprise-wide view of data.
Collaboration is enabled through a centralized, multi-user repository with version control, role-based access, and parallel development. Teams can work simultaneously while preserving model integrity and full change history. The web-based portal, Team Server, extends visibility beyond architects, allowing business and technical stakeholders to explore models, review metadata, and provide feedback through a browser interface. This shared environment improves transparency and alignment between design and execution.
Governance and standardization are embedded within the modeling process. Business glossaries and data dictionaries link directly to technical objects so approved definitions remain synchronized with implementations. Built-in impact analysis provides visibility into downstream dependencies before changes are deployed, reducing risk and strengthening coordination. Metadata can be synchronized with platforms such as Microsoft Purview and Collibra to enhance lineage visibility, documentation accuracy, and compliance oversight.
Available in Standard, Professional, and Enterprise editions, ER/Studio scales from individual practitioners to enterprise-wide architecture programs with advanced collaboration and governance needs.
Integrations Supported
Amazon Redshift
Assembla
Azure Database for PostgreSQL
Azure SQL Database
Bitbucket
Hadoop
IBM Informix
JSON
Jira
Microsoft Purview
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
$2,687 per user
Subscription-based pricing.
Standard: $2,687 per user
Professional: $3,693 per user
Enterprise: Custom
Standard: $2,687 per user
Professional: $3,693 per user
Enterprise: Custom
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
Windows
On-Prem
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
Online Training
Company Facts
Organization Name
Cloud Software Group
Company Location
United States
Company Website
www.onebx.com
Company Facts
Organization Name
ER/Studio
Date Founded
2004
Company Location
United States
Company Website
erstudio.com
Categories and Features
Data Governance
Not specified
Data Lineage
Not specified
Data Management
Not specified
Data Quality
Not specified
Master Data Management
Not specified
Metadata Management
Not specified
Categories and Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Process Management
Roles Management
Data Modeling
Not specified
Enterprise Architecture
Application Portfolio Management
Architecture Governance
Capability Mapping
Diagramming
Modeling & Simulation
Transformation Roadmapping
Version Control
Metadata Management
Not specified