Arm MAP vs. oneAPI Comparison Chart

RaimaDB is an embedded time series database for IoT and Edge devices that can run in-memory. It is an extremely powerful, lightweight and secure RDBMS. Field tested by over 20 000 developers worldwide and has more than 25 000 000 deployments. RaimaDB is a high-performance, cross-platform embedded database designed for mission-critical applications, particularly in the Internet of Things (IoT) and edge computing markets. It offers a small footprint, making it suitable for resource-constrained environments, and supports both in-memory and persistent storage configurations. RaimaDB provides developers with multiple data modeling options, including traditional relational models and direct relationships through network model sets. It ensures data integrity with ACID-compliant transactions and supports various indexing methods such as B+Tree, Hash Table, R-Tree, and AVL-Tree.

Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications. Integrate Compute with other Google Cloud services such as AI/ML and data analytics. Make reservations to help ensure your applications have the capacity they need as they scale. Save money just for running Compute with sustained-use discounts, and achieve greater savings when you use committed-use discounts.

Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system.

D&B Credit Insights helps small business owners monitor and understand their business credit profiles with real-time alerts on changes to scores and ratings. The platform provides unlimited access to key credit scores like PAYDEX®, Delinquency, and Supplier Evaluation Risk, helping you spot potential risks quickly. By tracking legal events such as liens and judgments, it keeps you informed of factors that may affect your creditworthiness. D&B Credit Insights offers benchmarking against industry standards, allowing you to set realistic credit goals and make informed financial decisions. The service integrates business banking data and provides detailed payment histories to improve transparency. Overall, it empowers businesses to strengthen their credit standing and plan confidently for future growth. D&B Credit Insights is available in three tiers: Free, Basic, and Plus. • Credit Insights Free • Credit Insights Basic • Credit Insights Plus

ADAudit Plus helps keep your Windows Server ecosystem secure and compliant by providing full visibility into all activities. ADAudit Plus provides a clear picture of all changes made to your AD resources including AD objects and their attributes, group policy, and more. AD auditing helps detect and respond to insider threat, privilege misuse, and other indicators of compromise, and in short, strengthens your organization's security posture. Gain granular visibility into everything that resides in AD, including objects such as users, computers, groups, OUs, GPOs, schema, and sites, along with their attributes. Audit user management actions including creation, deletion, password resets, and permission changes, along with details on who did what, when, and from where. Keep track of when users are added or removed from security and distribution groups to ensure that users have the bare minimum privileges.

IONOS GPU Servers provide an accelerated computing infrastructure designed to handle workloads that require significantly more processing power than traditional CPU-based systems. It integrates enterprise-grade NVIDIA GPUs such as the H100, H200, and L40s, as well as specialized AI accelerators like Intel Gaudi, enabling massive parallel processing for compute-intensive applications. GPU-accelerated instances extend cloud infrastructure with dedicated graphics processors so virtual machines can perform complex calculations and data-heavy operations much faster than conventional servers. It is particularly suitable for artificial intelligence, deep learning, and data science tasks that involve training models on large datasets or performing high-speed inference operations. It also supports big data analytics, scientific simulations, and visualization workloads such as 3D rendering or modeling that require high computational throughput.

JDisc Discovery is a comprehensive network inventory and IT asset management solution designed to help organizations gain clear, up-to-date visibility into their IT environment. It automatically scans and maps devices across the network, including servers, workstations, virtual machines, and network hardware, to create a detailed inventory of all connected assets. This includes critical information such as hardware configurations, software installations, patch levels, and relationshipots between devices. One of the standout features of JDisc Discovery is its agentless discovery process, meaning it does not require the installation of any software on individual devices, reducing deployment time and minimizing network impact. It supports a wide range of protocols (e.g., SNMP, SSH, WMI) to gather data, making it compatible with diverse IT environments, whether they are Windows, Linux, or Unix-based.

Every year, we survey over a million people around the world so businesses can understand changing consumer behavior in seconds. Designed for busy teams, our platform makes it easy to get what you need, analyze it how you want, and share it with your teams. Pinpoint your perfect customer from over 250K+ profiling points. Apply question charts to unlock insights into what your audience thinks, feels, and does. Collate data and charts to build your story and share it with your team. Overlay multiple data points for in-depth data analysis. Gain unparalleled insight into consumers with survey data that reflects the views, interests, and behaviors of billions of real people across the globe. We ask consistent survey questions in every region. Zero in for granular insights on local markets or zoom out for a global view. Understand what consumers really think about you and your competitors with insights on all the big names.

Overmonitor is a cloud-based infrastructure, website, and endpoint monitoring platform built for fast setup without enterprise complexity. Monitor websites, APIs, servers, processes, Windows services, event logs, performance counters, SNMP data, uptime, response time, DNS, SSL certificates, internal endpoints, and network health from one dashboard. The lightweight 2.1 MB agent runs as an idle process, requires no inbound firewall exceptions or open ports, and sends a secure heartbeat every minute. Configure monitoring quickly through the web interface and target checks by city-level geography. Maintenance windows suppress expected noise, while configurable alerts, push notifications, and audible dashboards keep the right people informed. Multi-location endpoint checks validate incidents, reduce false alarms, expose regional problems, and reveal how availability and responsiveness differ across target markets. Distributed Monitors expand Overmonitor’s network by allowing eligible servers to opt in and check up to 10 external endpoints. Checks add negligible data to the existing heartbeat, require no extra configuration or firewall changes, execute no remote web scripts, and store no monitored data on the server. If a participating server or network becomes unavailable, its checks are automatically reassigned. Participation also earns prorated invoice credits. Trend Analysis turns historical infrastructure metrics into proactive capacity planning. Choose from thousands of performance counters, including CPU utilization, available memory, and disk space, then assign minimum and maximum thresholds. Once enough data has been collected, Overmonitor applies linear regression to estimate when a metric may cross its limits. A configurable planning horizon controls when responsible team members are alerted, helping you rebalance workloads, tune resources, or scale capacity before performance becomes an outage or unbudgeted emergency. Trend Analysis is included with every server metric at no additional charge. Overmonitor also includes process rollups, embeddable performance graphs, endpoint health visibility, flexible retention, multiple users with roles, and à la carte pricing so you pay only for the monitoring you need. Detect outages, correlate website symptoms with server health, analyze performance, track availability, and improve end-user experience before small issues become downtime.

AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack. At its core is the AnalyticsCreator Governed Control Model, which keeps business meaning, data structures, transformation rules, dependencies and technical implementation connected in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design. Generated assets can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns. Changes made in the model can be propagated across dependent project assets, while lineage, documentation and impact analysis remain connected to the underlying design. This helps teams reduce repetitive engineering work, standardise delivery and understand the effect of change before regenerating affected assets. AnalyticsCreator generates native Microsoft technology rather than requiring a proprietary runtime. Organisations retain ownership of the resulting implementation and can integrate generated assets into existing Git, Azure DevOps and CI/CD processes. Design Intelligence extends this governed project context into AI-assisted data engineering by giving authorised AI tools and agents structured access to metadata, lineage, dependencies and design rules. Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery, SAP-to-Microsoft analytics architectures and repeatable data product engineering.