Starcounter vs. Tungsten Insight 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.

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.

Couchbase’s operational data platform for AI is a scalable foundation for enterprise operational, analytical, mobile and AI workloads that replaces legacy infrastructure and data services. Bring your data to life in new ways with Couchbase’s enterprise data partnership: launch game-changing customer experiences, explore the infinite possibilities of AI, scale your global operations, and move your data from the cloud to the edge, and beyond. Couchbase’s operational data platform for AI eliminates fragmented tech stacks, so teams can stay innovative and agile, with less risk and lower cost of ownership. With enterprise partnership and scalable, AI-ready technology, Couchbase turns your data into the foundation for your next breakthrough.

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.

Cloud Run is a fully-managed compute platform that lets you run your code in a container directly on top of Google's scalable infrastructure. We’ve intentionally designed Cloud Run to make developers more productive - you get to focus on writing your code, using your favorite language, and Cloud Run takes care of operating your service. Fully managed compute platform for deploying and scaling containerized applications quickly and securely. Write code your way using your favorite languages (Go, Python, Java, Ruby, Node.js, and more). Abstract away all infrastructure management for a simple developer experience. Build applications in your favorite language, with your favorite dependencies and tools, and deploy them in seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously—depending on traffic. Cloud Run only charges you for the exact resources you use. Cloud Run makes app development & deployment simpler.

Epicor Financials is a cloud-native financial management solution that helps organizations streamline accounting processes, automate workflows, improve compliance, and gain real-time visibility into financial performance. Built on a modern cloud architecture, the platform combines core accounting, financial reporting, planning, analytics, governance, and AI capabilities within a unified ecosystem. Organizations can extend the core accounting solution through Epicor's broad ecosystem of business applications and ISV solutions. Designed exclusively for the cloud, Epicor Financials benefits from continuous innovation through regular upgrades and a modern CI/CD deployment approach, helping customers stay current without disruptive upgrades. The solution scales globally with support for multiple books, companies, sites, currencies, languages, and legal entities while maintaining centralized financial control.

Gemini platform is an enterprise AI development and machine learning platform from Google Cloud that enables organizations to build, customize, deploy, and manage AI agents and intelligent applications. Formerly known as Vertex AI, the platform provides access to more than 200 foundation models from Google, third-party providers, and open-source communities. Its Agent Studio and Agent Development Kit allow developers to create autonomous agents, design multistep workflows, and integrate artificial intelligence with enterprise data and external tools. The platform also supports custom model training, fine-tuning, machine learning pipelines, model evaluation, and scalable inference infrastructure. Enterprise capabilities include agent identity management, centralized governance, security policies, persistent memory, and monitoring tools for evaluating agent performance. Gemini platform integrates with BigQuery, Google Antigravity, Google Cloud infrastructure, and developer frameworks to support generative AI applications, predictive analytics, and automated business workflows.

Malware, user errors, or hardware failures often spell the end for important files. Therefore, it is essential to create regular backups to have a safety copy to fall back on in case of an emergency. Discover how BackUp Maker simplifies the process of data backup. With BackUp Maker, you simply select the data you want to secure, configure automation if desired, choose the destination, and your documents are reliably backed up - either scheduled or based on specific events. Your data lands safely and compactly in zip format on hard drives, USB sticks, or in the cloud. To protect sensitive information from unauthorized access, BackUp Maker offers high-security encryption of up to 256-bit (AES). Additionally, the program allows for the secure offloading of your encrypted backups via SFTP or FTP/FTPS to a web server. BackUp Maker supports a comprehensive backup concept without restrictions. Secure only new and changed files, create multiple backup generations, distribute backups across various storage media, and perform custom actions before and after the backup.

TrustInSoft Analyzer (TISA) is formal verification for embedded software teams. It uses AI-assisted formal methods to mathematically verify C, C++, and Rust code, proving the absence of runtime errors and undefined behavior such as buffer overflows, uninitialized memory, use-after-free, and integer overflows. Whether code is written by your developers or generated with AI, TrustInSoft Analyzer considers every execution path, not a sample of them. When replaying your existing tests, it reports no false positives and no false negatives for undefined behavior. With input generalization, it extends the analysis to all possible input values. In multi-threaded code, it detects race conditions as a class of undefined behavior. The Root Cause Investigator traces each alarm back to its origin. The TISA Project Manager lets teams set up, run, and report on analysis campaigns from a graphical interface. Analysis reflects your target hardware characteristics without needing the hardware itself. Teams use it to reduce verification effort, produce evidence for standards of work such as ISO 26262, ISO 21434 and DO178C, and release with greater confidence.

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.