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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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AnalyticsCreatorAccelerate your data initiatives with AnalyticsCreator—a metadata-driven data warehouse automation solution purpose-built for the Microsoft data ecosystem. AnalyticsCreator simplifies the design, development, and deployment of modern data architectures, including dimensional models, data marts, data vaults, and blended modeling strategies that combine best practices from across methodologies. Seamlessly integrate with key Microsoft technologies such as SQL Server, Azure Synapse Analytics, Microsoft Fabric (including OneLake and SQL Endpoint Lakehouse environments), and Power BI. AnalyticsCreator automates ELT pipeline generation, data modeling, historization, and semantic model creation—reducing tool sprawl and minimizing the need for manual SQL coding across your data engineering lifecycle. Designed for CI/CD-driven data engineering workflows, AnalyticsCreator connects easily with Azure DevOps and GitHub for version control, automated builds, and environment-specific deployments. Whether working across development, test, and production environments, teams can ensure faster, error-free releases while maintaining full governance and audit trails. Additional productivity features include automated documentation generation, end-to-end data lineage tracking, and adaptive schema evolution to handle change management with ease. AnalyticsCreator also offers integrated deployment governance, allowing teams to streamline promotion processes while reducing deployment risks. By eliminating repetitive tasks and enabling agile delivery, AnalyticsCreator helps data engineers, architects, and BI teams focus on delivering business-ready insights faster. Empower your organization to accelerate time-to-value for data products and analytical models—while ensuring governance, scalability, and Microsoft platform alignment every step of the way.
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DataHubDataHub stands out as a dynamic open-source metadata platform designed to improve data discovery, observability, and governance across diverse data landscapes. It allows organizations to quickly locate dependable data while delivering tailored experiences for users, all while maintaining seamless operations through accurate lineage tracking at both cross-platform and column-specific levels. By presenting a comprehensive perspective of business, operational, and technical contexts, DataHub builds confidence in your data repository. The platform includes automated assessments of data quality and employs AI-driven anomaly detection to notify teams about potential issues, thereby streamlining incident management. With extensive lineage details, documentation, and ownership information, DataHub facilitates efficient problem resolution. Moreover, it enhances governance processes by classifying dynamic assets, which significantly minimizes manual workload thanks to GenAI documentation, AI-based classification, and intelligent propagation methods. DataHub's adaptable architecture supports over 70 native integrations, positioning it as a powerful solution for organizations aiming to refine their data ecosystems. Ultimately, its multifaceted capabilities make it an indispensable resource for any organization aspiring to elevate their data management practices while fostering greater collaboration among teams.
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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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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!
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PlautiPlauti is a data quality platform built natively for CRM, designed for organizations that want tight governance, strong security, and practical control over the accuracy of their customer data. Unlike solutions that move data to external servers or require separate platforms, Plauti runs entirely inside your existing CRM infrastructure, so no data leaves your system and no additional security perimeter is introduced. For Salesforce customers, Plauti covers the end-to-end data quality lifecycle: Prevent duplicates at the source: Real-time alerts notify users of potential duplicates as they enter records, helping sales, marketing, and service teams keep data clean from the start. Protect against hidden duplicates: Detect duplicates created by imports, integrations, and APIs to keep inbound data streams aligned with your standards. Remediate at scale with batch jobs: Run configurable batch processes to find, review, and merge existing duplicates across large data volumes, with full audit trails that support compliance, internal controls, and reporting. Verify contact information: Check email addresses and phone numbers before they’re saved to reduce bounce rates, improve campaign performance, and support more reliable outreach. All of this operates on Salesforce’s own infrastructure, using your existing permissions, roles, and security model. There is no separate user login, no data sync lag to manage, and no additional compliance gap to justify to auditors or security teams. For Microsoft Dynamics 365, Plauti focuses on robust duplicate prevention and control. Admins can configure real-time alerts, leverage API-based detection, run batch processes, and apply cross-entity matching rules to keep accounts, contacts, and leads aligned and consolidated. Plauti is built for CRM admins, data stewards, and operations teams who need immediate, self-service control over data quality—without waiting for developers, complex projects, or long IT ticket queues.
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4ALLPORTALIf you seek a streamlined approach to handle your product data, 4ALLPORTAL serves as the ideal solution. Our software optimizes resource usage, enabling you to boost sales, lower expenses, and allocate more time to strategic and creative endeavors. With just a few clicks, you can maintain your product information once, linking relevant data and media across all products while ensuring they remain current across various sales channels. Our platform's exceptional customization and scalability mean we can design a solution that meets your specific requirements, with a dedicated account manager to support the software’s evolution alongside your business needs. Curious about how it works? Step 1: Engage in a 30-minute conversation where you share your existing and future needs, alongside the challenges you encounter daily. Step 2: We assess your requirements and develop a personalized 4ALLPORTAL, which we will showcase to your team in an interactive demo. Step 3: You will have the opportunity to explore your 4ALLPORTAL for more than 30 days, allowing you to thoroughly evaluate its functionality before making a decision on a partnership with us. Don't delay any longer; begin efficiently managing your data today and elevate your business with 4ALLPORTAL. Embrace the future of product data management and watch your business thrive.
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CirrusPrintCirrusPrint provides a comprehensive solution for efficiently managing and optimizing printing and document distribution across various networks. It addresses challenges associated with migrating printing services to the cloud, ensuring that document delivery to users is both swift and straightforward. Even with CirrusPrint, conventional network printing remains viable without necessitating alterations to existing workflows. Users have the flexibility to print directly to their devices, send documents via email to printers, and transmit files from their smartphones to printers located anywhere nationwide. Compatible with both Windows and Linux systems, CirrusPrint can operate in either cloud environments or on-premises data centers. The platform efficiently processes print jobs and documents by compressing them for seamless delivery to remote printers and end-users. Furthermore, it offers seamless integration capabilities with various applications, allowing users to print as if it were any standard network printer, email files, drag and drop documents into the system, or utilize the REST API for additional functionality. CirrusPrint ensures that print jobs are transmitted quickly and securely, maintaining the integrity of the original documents throughout the process. Overall, its user-friendly interface and robust features make it an ideal choice for organizations looking to enhance their printing solutions.
What is Oracle Enterprise Data Management?
Boost your capability to swiftly and adeptly respond to changes by proficiently overseeing your master data, whether navigating a cloud application transition, managing the effects of mergers and acquisitions, or aligning metadata inconsistencies across multiple business areas and applications. You have the ability to import hierarchies or lists from various applications contributing to your data ecosystem, which allows for streamlined operations and removes the need for data validation upon entry, even in cases of lower data quality. Moreover, you can improve the overall data quality within a particular application or business area by validating distinct perspectives known as viewpoints. Additionally, you can effortlessly migrate and map enterprise data elements while accommodating ongoing changes across a range of environments, including public, private, and hybrid clouds, regardless of whether the data comes from Oracle or other third-party providers. Utilizing a straightforward shopping cart interface, you can conveniently create new enterprise data or adjust existing relationships and attributes, thus empowering you to manage your data landscape with more efficiency. This method not only simplifies the data management process but also fosters enhanced collaboration among teams, leading to a more cohesive working environment. As a result, your organization can achieve greater agility and responsiveness in a rapidly evolving data landscape.
What is Hackolade?
Hackolade Studio is a next-generation data modeling solution designed for today’s diverse and hybrid data environments. Initially created to fill the gap in visual modeling tools for NoSQL, Hackolade has expanded into a multi-model platform supporting a wide range of modern technologies.
It enables agile schema design and governance for both structured and semi-structured data, making it well-suited for teams working across relational databases, NoSQL stores, data warehouses, and streaming systems. Supported technologies include Azure SQL, Oracle, PostgreSQL, SQL Server, MongoDB, Cassandra, DynamoDB, Neo4j, BigQuery, Databricks, Redshift, Snowflake, and Kafka with Confluent Schema Registry, as well as OpenAPI and GraphQL for API modeling.
Hackolade also offers support for data exchanges stored on AWS S3, Azure Blob Storage and ADLS Gen1 and Gen 2, for formats such as JSON Schema, Avro, Parquet, Protobuf, and YAML. It also integrates with metadata governance tools like Unity Catalog and Collibra. These integrations help organizations maintain compliance, manage lineage, and ensure high data quality across systems.
Key features include forward and reverse engineering, schema versioning, type mapping, and collaborative model design. Whether modeling new systems, documenting legacy databases, or managing API data contracts, Hackolade provides a centralized, visual interface that helps teams design and evolve schemas efficiently.
Enterprises in finance, healthcare, telecom, and retail use Hackolade to support initiatives in data governance, data mesh, API-first development, and cloud migration, making it a key tool in the modern data stack.
Integrations Supported
Apache Avro
Apache HBase
Apache Kafka
ArangoDB
Azure DevOps
BigID
Elasticsearch
Firebase
Git
GitHub
Integrations Supported
Apache Avro
Apache HBase
Apache Kafka
ArangoDB
Azure DevOps
BigID
Elasticsearch
Firebase
Git
GitHub
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided
Free Version
Free Trial Offered?
Pricing Information
€175 per month
Annual subscriptions possible
Volume discount possible
Possibility to purchase consurrent (floating) licenses via purchase order
Volume discount possible
Possibility to purchase consurrent (floating) licenses via purchase order
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Oracle
Date Founded
1977
Company Location
United States
Company Website
www.oracle.com/performance-management/enterprise-data-management/
Company Facts
Organization Name
Hackolade
Date Founded
2016
Company Location
Belgium
Company Website
hackolade.com
Categories and Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization