Helios Data vs. InfoSum Comparison Chart

Venn is the leader in BYOD Security. Venn’s Blue Border™ is patented technology that protects company data and applications on BYOD computers used by contractors and remote employees - without VDI. With Venn, work lives in a company-controlled Secure Enclave (installed on the user’s PC or Mac) where all data is encrypted and access is managed. Work applications run locally within the Enclave (no hosting or virtualization) and are protected and isolated from any personal use on the same computer. With Venn, customers are empowered to achieve the cost savings and workforce agility of BYOD, while ensuring robust data protection and compliance with HIPAA, FINRA, PCI, SOC 2, and many more. Join the 700+ organizations, including Fidelity, Guardian, and Voya, that trust Venn to secure their business-critical data and apps.

BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven. Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.

Jscrambler pioneered and leads the Client-Side Security Platform category. Jscrambler’s Client-Side Security Platform is powered by a Behavioral Enforcement Core that governs how application code, third-party scripts, and sensitive data behave at runtime. By enforcing software integrity and data governance directly in the browser, the platform ensures sensitive data and AI inputs are controlled according to enterprise policy at the point of creation — before they leave the client environment. Trusted by leading global retailers, airlines, financial services providers, and healthcare organizations, Jscrambler provides the visibility and enforcement organizations need to stop client-side attacks, prevent data leakage, and maintain compliance with regulations including PCI DSS, GDPR, HIPAA, CCPA, and the EU AI Act.

Safetica’s Intelligent Data Security protects sensitive data where teams work, using powerful AI to deliver contextual awareness, reduce false positives, and stop real threats without disrupting productivity. With Safetica, security teams can maintain visibility and control over sensitive data, stay ahead of insider risks, maintain compliance, and secure sensitive cloud-based data. ✔️ Data Protection: Classify, monitor and control sensitive data across devices and clouds in real time. ✔️ Insider Risk and User Behavior: Spot risky behavior, detect intent, and stop insider threats to stay ahead of the careless handling of sensitive data, compromised user accounts and malicious user activity. ✔️ Compliance and Data Discovery: Prove compliance with audit-ready reporting for data in use, in motion, and at rest. ✔️ Cloud Security: Protect Microsoft 365, cloud, and file-sharing platforms to secure sensitive cloud-based data.

RallyFuel connects college athletes with fans and brands through verified NIL (Name, Image, Likeness) deals. Our platform streamlines the entire NIL process - from deal discovery and negotiation to compliance and payment processing. Athletes can monetize their personal brand through fan interactions, autographs, appearances, social media campaigns, and brand partnerships. Fans get authentic connections with their favorite college athletes through transparent, NCAA-compliant transactions. Key features: - Verified athlete profiles - Secure payment processing - NCAA compliance tools - Deal templates and contracts - Performance analytics - Direct fan-to-athlete marketplace Built for the new era of college sports, RallyFuel ensures every transaction is transparent, compliant, and beneficial for athletes, fans, and institutions.

Titan is the all-in-one, Salesforce-first platform for building customer-facing workflows directly on Salesforce. Create portals, forms, surveys, document generation, eSignatures, and contract processes that write back in real time, keeping Salesforce as your system of record. Titan AI turns plain-language requests into no-code builds, so admins can move from idea to live without dev backlogs. Designed for complex logic, structured approvals, and governed data capture, Titan supports external users and internal teams within one controlled, Salesforce-centric layer. Instead of stitching together portals, document tools, and workflow apps, Titan centralizes execution inside Salesforce. Fewer integration gaps. Clear governance. Real-time visibility. Built to scale.

SCIKIQ Data Fabric makes enterprise data AI-ready, without rebuilding the data stack, In weeks and months or years SCIKIQ is an AI-native Data & Intelligence Platform that helps enterprises connect, contextualize, govern and activate their data for analytics, Generative AI and intelligent agents. Instead of adding another disconnected tool, SCIKIQ creates a unified intelligence layer across the technology you already use from SAP, Oracle and Salesforce to Snowflake, Databricks, cloud platforms, data lakes and enterprise applications. The result is trusted, contextualized and AI-ready enterprise data — in weeks, not years. What makes SCIKIQ Data Fbric different is its ability to bring the entire data-to-AI journey into one platform. Data integration, transformation, data quality, governance, catalog, lineage, semantic models, knowledge graphs, conversational analytics, AI/ML, data products and AI agents work together rather than as separate tools. At the heart of SCIKIQ is Contextual Intelligence. SCIKIQ connects technical metadata with business definitions, KPIs, ownership, relationships and rules so that people and AI understand what enterprise data actually means. This semantic foundation helps create more trusted analytics and better-grounded AI responses. Business users can simply ask questions of their enterprise data in natural language, explore KPIs and root causes, and receive contextual answers without depending on SQL or waiting for another report. For data and technology teams, SCIKIQ provides a governed foundation with 200+ connectors, active metadata, multi-hop lineage, data quality, role-based governance and multi-cloud support across AWS, Azure, GCP, hybrid and on-prem environments, and you don't have to rip and replace your existing investments. SCIKIQ works with your stack, not against it. SCIKIQ is already trusted in production by leading enterprises across the USA, India and UAE, including organizations such as American Express, London Stock Exchange Group, Landmark Group and EFS. Its solutions have also been delivered alongside global technology and consulting ecosystems including AWS, Microsoft Azure, Deloitte, EY, Infosys and Tech Mahindra. SCIKIQ has been recognized by Forrester, NASSCOM, YourStory, Inc42 and DataIQ, providing independent validation of its innovation in enterprise data and AI. If your enterprise already has data but is struggling to turn it into trusted AI, SCIKIQ is where that journey begins

Okyline is an Executable Data Design (EDD) platform for declarative data validation contracts and measurable operational data quality. Instead of maintaining disconnected specifications, validators, tests, and quality dashboards, Okyline uses a single executable contract as the operational source of truth for validation and flow quality monitoring. The same readable contract drives multi-format validation, deterministic execution, quality measurement, data quality gate, and historical quality analytics across APIs, events, files, LLM structured outputs, and enterprise data flows. Community Edition provides the open specification, a free Java validation runtime, a public Claude AI assistant for contract generation, and a free online studio for executable JSON validation contracts and JSON Schema transpilation. Enterprise Edition supports direct validation of JSONL, XML, CSV, FIXED, and EDI flows, data quality gate, and operational quality dashboards, all without databases

Securden Password Vault for Enterprises is a scalable, enterprise-grade credential management solution available in both cloud (SaaS) and on-premise deployments. It centralizes the storage of passwords, SSH keys, DevOps secrets, files, and other sensitive data in an AES-256 encrypted vault, helping organizations enforce strong security controls and defend against insider and external threats. The solution enables secure credential storage, granular access controls, automated password rotation, and just-in-time access while providing full visibility through audit logs, session recordings, and real-time alerts. IT teams can launch secure remote connections such as RDP, SSH, and SQL directly from the vault without exposing credentials. Trusted by enterprises worldwide, Securden helps organizations strengthen security posture, streamline credential governance, improve operational efficiency, and meet compliance requirements across industries.

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.