Compare Fluentgrid MDMS vs. G-DIS

Triple Whale consolidates all metrics from all your tools and puts them in your pocket. We simplify, inform, and save you time. We integrate eCommerce and marketing data from all your favorite apps so you don't have to switch between tabs and apps. All your data can be tracked, tested, and interpreted. Data backing your decisions makes it easier to make informed decisions. AI is being developed to reduce errors and improve your operations across all your tools. You can quickly gain insight into what is working and what isn't, so that you can strategize, optimize, and maximize growth. Get to know all about your customers' spending habits. Forecast and track your most important D2C metrics. You can send daily, weekly, or monthly reports to everyone in the company. You can choose from a template or create your own metrics. Wondering how a 0.5% increase in your conversion rate could affect your profit? Our calculator uses your data for real insight. You can adjust your dashboard to make it work for you and your team. Moby by Triple Whale is an innovative AI-driven data platform designed to help brands and agencies unlock deep marketing insights quickly and efficiently. Its AI agents automatically analyze performance data across marketing channels, identifying trends in creative effectiveness, customer retention, and acquisition strategies. These agents provide precise recommendations on budget allocation to maximize return on investment and offer actionable fixes to increase website conversion rates. Trusted by brands like LSKD, Dixxon Flannel Company, and Porter Media, Moby has demonstrated success in detecting affiliate fraud, slashing reporting time, and boosting ROAS without increasing ad spend.

CredentialStream® incorporates patented technology that provides everything necessary for requesting, gathering, and validating information about a provider, all to establish a reliable Source of Truth for downstream processes. With a modern platform that is continuously updated, along with best-practice content libraries and industry-leading data sets, CredentialStream stands out as the most comprehensive provider lifecycle management solution available.

Based on your interests, history, and role, you will receive personalized and recommended results. QuaerisAI provides near-real-time data access for all data. QuaerisAI enhances your data and document workload with AI. To increase knowledge sharing and track performance, teams can share insights and pinboards. Our advanced AI engine transforms your inquiry to a database-ready language within micro-seconds. Data is nothing without context, just like life. Our cognitive AI engine interprets search terms, interests, roles, and past history to provide ranks results that allow further exploration. You can easily add filters to search results to dig into the details and explore relevant questions.

HCSS is a leader in construction software, providing an extensive range of tools that support construction projects from beginning to end. Its software suite includes modules for pre-construction activities like estimating and bidding, as well as for managing project progress, job costs, safety compliance, and fleet maintenance. With over 4,000 clients, HCSS is known for helping heavy civil contractors optimize their operations. Its features like fleet telematics, cloud hosting, and smart forms streamline work processes, making it an indispensable tool for contractors of all sizes.

Guardz is the unified cybersecurity platform purpose-built for MSPs. We consolidate the essential security controls, including identities, endpoints, email, awareness, and more, into one AI-native framework designed for operational efficiency. Our identity-centric approach connects the dots across vectors, reducing the gaps that siloed tools leave behind so MSPs can respond to user risk in real time. With 24/7 AI + human-led MDR, Guardz utilizes agentic AI to triage at machine speed while expert analysts validate, mitigate, and guide response, giving MSPs scalable protection without adding headcount.

SharpeSoft Estimator is an on-premise & cloud cost estimating software for contractors and sub-contractors in the construction industry. This software allows contractors to organize bids, compare item quantities and pricing from multiple subcontractors and vendors, manage their own contractor information, and more. SharpeSoft provides integrated tools for managing labor, equipment and subcontractor costing, contractor and subcontractor management, bid management, and more. The solution is designed for various industries including heavy civil, highway and road, earthwork, pipeline, grading and excavation, plant work, etc.

Skillfully transforms the hiring process through AI-powered simulations of skills that show you how candidates perform in real life before you hire them. Our platform helps companies to cut through AI-generated CVs and rehearsed interview by validating real abilities in action. Companies like Bloomberg and McKinsey, who use dynamic job specific simulations and skill assessments to reduce screening time by half while improving hiring quality, have seen their screening times cut by 50%. Key Features: Job simulations that simulate real-life situations AI-powered skill verification across technical and soft skills Automated screening to identify top performers early Seamless ATS Integration Performance-based Interview Guides Candidate insights and analytics Bias-free, objective evaluation process Results include 74% lower hiring cost, 50% faster hiring process and 10x improvement of candidate conversion rates.

Assembled combines AI agents with advanced workforce management to give support teams the speed, flexibility, and control they need to excel. Our platform streamlines staffing for both in-house and outsourced teams, delivers forecasts with over 90% accuracy, and automates more than half of customer conversations. Whether it’s chat, email, or voice, Assembled orchestrates every interaction, allocating work between AI and human agents in real time. Leading brands like Stripe, Canva, and Robinhood rely on Assembled to boost performance and turn support into a growth driver. Key capabilities include scheduling, forecasting, live performance monitoring, vendor management, AI-powered chat, voice, and email agents, plus an AI Copilot that provides instant guidance, suggested responses, and rapid action tools for agents.

Dragonfly serves as a seamless substitute for Redis, offering enhanced performance while reducing costs. It is specifically engineered to harness the capabilities of contemporary cloud infrastructure, catering to the data requirements of today’s applications, thereby liberating developers from the constraints posed by conventional in-memory data solutions. Legacy software cannot fully exploit the advantages of modern cloud technology. With its optimization for cloud environments, Dragonfly achieves an impressive 25 times more throughput and reduces snapshotting latency by 12 times compared to older in-memory data solutions like Redis, making it easier to provide the immediate responses that users demand. The traditional single-threaded architecture of Redis leads to high expenses when scaling workloads. In contrast, Dragonfly is significantly more efficient in both computation and memory usage, potentially reducing infrastructure expenses by up to 80%. Initially, Dragonfly scales vertically, only transitioning to clustering when absolutely necessary at a very high scale, which simplifies the operational framework and enhances system reliability. Consequently, developers can focus more on innovation rather than infrastructure management.

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.