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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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RaimaDBRaimaDB is an embedded time series database designed specifically for Edge and IoT devices, capable of operating entirely in-memory. This powerful and lightweight relational database management system (RDBMS) is not only secure but has also been validated by over 20,000 developers globally, with deployments exceeding 25 million instances. It excels in high-performance environments and is tailored for critical applications across various sectors, particularly in edge computing and IoT. Its efficient architecture makes it particularly suitable for systems with limited resources, offering both in-memory and persistent storage capabilities. RaimaDB supports versatile data modeling, accommodating traditional relational approaches alongside direct relationships via network model sets. The database guarantees data integrity with ACID-compliant transactions and employs a variety of advanced indexing techniques, including B+Tree, Hash Table, R-Tree, and AVL-Tree, to enhance data accessibility and reliability. Furthermore, it is designed to handle real-time processing demands, featuring multi-version concurrency control (MVCC) and snapshot isolation, which collectively position it as a dependable choice for applications where both speed and stability are essential. This combination of features makes RaimaDB an invaluable asset for developers looking to optimize performance in their applications.
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LS RetailLS Central runs in over 110,000 stores, restaurants, hotels, gas stations, and pharmacies across 157 countries, powering POS and operations for mid-market and enterprise businesses with multiple locations, countries, or channels. The platform combines POS, inventory, pricing and promotions, loyalty, eCommerce, workforce management, analytics, and financial operations in one system. It is ERP-agnostic: native integration with Microsoft Dynamics 365 Business Central, plus connections to SAP S/4HANA, Oracle, and Microsoft Dynamics through CentralConnect, LS Retail's own managed integration. Businesses standardize operations globally without replacing the ERP already in place. The modular design lets businesses start with the capabilities they need and expand as operations grow, with global templates for consistent processes and local rules for taxation, pricing, and compliance. AI-enhanced capabilities cover demand forecasting, inventory optimization, promotion tracking, and operational reporting, synced in real time.
What is Oracle Data Masking and Subsetting?
In response to escalating security threats and the implementation of strict privacy regulations, a more vigilant strategy for managing sensitive information has become essential. Oracle Data Masking and Subsetting provides database professionals with a robust solution that not only fortifies security but also simplifies compliance measures and reduces IT costs by sanitizing copies of production data for various applications, including testing and development, while also enabling the elimination of unnecessary data. This innovative tool facilitates the extraction, obfuscation, and sharing of comprehensive and selective data sets with partners, regardless of whether they are internal or external to the organization, thereby maintaining the integrity of the database and ensuring that applications function smoothly. Furthermore, Application Data Modeling plays a crucial role by automatically detecting columns in Oracle Database tables that hold sensitive information using predefined discovery patterns, such as national IDs and credit card numbers, which are critical for protecting personal information. In addition, it is capable of identifying and mapping parent-child relationships structured within the database, significantly improving the efficacy of data management practices. Overall, these features enhance the organization’s ability to safeguard sensitive data while facilitating better data governance.
What is Nonimo?
Nonimo empowers teams to utilize generative AI while ensuring the secure management of client and personal information. Its software applications for macOS and Windows are specifically engineered to detect sensitive content within selected text, replacing it with labels before sending the text to any AI service; users can easily revert to the original information when obtaining responses. Moreover, a supporting extension integrates flawlessly with platforms like ChatGPT, Claude, and Gemini in both Chrome and Safari browsers. In addition to handling text, these applications can also redact sensitive data from files such as Word, Excel, PowerPoint, PDF, OpenDocument, and numerous other formats prior to uploads, while browser tools assist in obscuring fields in identification documents. The analysis of text occurs locally, which means it can operate without requiring an internet connection. Organizations have the ability to implement these browser extensions through specific policy settings and can produce signed usage reports for monitoring and compliance purposes. The Nonimo Gateway serves as an independent self-hosted API proxy currently in a pilot phase, designed for applications that engage with AI APIs; it proficiently masks sensitive information in outgoing requests and restores it upon receiving responses. This platform is specifically suited to address the requirements of professional fields such as law, accounting, healthcare, insurance, and public service, all of which frequently handle sensitive client or personal details. With Nonimo, teams can collaborate confidently, assured that their data remains secure throughout every step of the process while also allowing for greater efficiency in managing sensitive information.
Integrations Supported
IBM Db2
IBM Informix
MySQL
Oracle Database
Oracle E-Business Suite
SQL Server
API Availability
API Availability
Has API
Pricing Information
$230 one-time payment
Pricing Information
The Free plan has a monthly word allowance. Paid Personal and Team plans open January 15, 2027; existing free licences remain valid through January 31, 2027.
Free Version
Supported Platforms
SaaS
Supported Platforms
SaaS
Windows
Mac
On-Prem
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
Training Options
Documentation Hub
Company Facts
Organization Name
Oracle
Date Founded
1977
Company Location
United States
Company Website
www.oracle.com/database/technologies/security/data-masking-subsetting.html
Company Facts
Organization Name
Nonimo
Date Founded
2026
Company Location
Australia
Company Website
nonimo.ai/
Categories and Features
Data Masking
Not specified
Database Security
Not specified
Categories and Features
Data Masking
Not specified