Compare Oracle Stream Analytics vs. Unloop

Log360 is a SIEM or security analytics solution that helps you combat threats on premises, in the cloud, or in a hybrid environment. It also helps organizations adhere to compliance mandates such as PCI DSS, HIPAA, GDPR and more. You can customize the solution to cater to your unique use cases and protect your sensitive data. With Log360, you can monitor and audit activities that occur in your Active Directory, network devices, employee workstations, file servers, databases, Microsoft 365 environment, cloud services and more. Log360 correlates log data from different devices to detect complex attack patterns and advanced persistent threats. The solution also comes with a machine learning based behavioral analytics that detects user and entity behavior anomalies, and couples them with a risk score. The security analytics are presented in the form of more than 1000 pre-defined, actionable reports. Log forensics can be performed to get to the root cause of a security challenge. The built-in incident management system allows you to automate the remediation response with intelligent workflows and integrations with popular ticketing tools.

Elecard Boro is a professional software solution designed to monitor video stream health and track QoS/QoE parameters across distributed networks. By providing centralized access to statistics and automated reporting, Boro enables telecom professioals to build a powerful monitoring ecosystem from scratch or easily scale existing infrastructure to ensure flawless broadcast quality. How it works: Boro utilizes distributed software probes to monitor UDP, RTP, HTTP, HLS, DASH, SRT, and RTMP streams. By aggregating multi-point measurements on a centralized server, operators can instantly isolate quality degradation across the entire delivery chain. The platform provides network-wide visibility and real-time alerts for ETSI TR 101 290 errors via Email, SNMP, Webhook, PagerDuty, and Telegram. Key Features: • Rapid Deployment & Scalability: Launch a monitoring probe in just 30 minutes. Easily scale your infrastructure by adding new probes to the unified Boro ecosystem on any hardware. • Proactive Issue Resolution: Monitor over 50 QoS and QoE parameters (including full ETSI TR 101 290 compliance) and use triggers to localize network anomalies before they impact viewers. • Advanced Diagnostics: Use comprehensive analysis of SCTE-35 ad-insertion cues and PCAP stream recording for in-depth delivery troubleshooting. • Effortless Integration & Access: Access monitoring data from any device via an intuitive web interface. Seamlessly integrate Boro into your existing workflow using WebHook, SNMP, and ControlAPI. • Operational Efficiency: Reduce the workload on QA and network engineers through automated regular reporting, advanced visualization dashboards, and smart threshold tuning that eliminates false alarms.

For over two decades, Shoplogix has helped leading manufacturers worldwide unlock hidden production potential by transforming real-time machine and performance data into actionable insights. The platform automatically captures signals like downtime, scrap, and throughput, delivering visual dashboards that enable teams to identify bottlenecks, reduce losses, and improve continuously—both during shifts and in post-shift analysis. With OneSignal connectivity, Shoplogix integrates with any machine brand or type to deliver real-time, granular insights on slow-running, starved, or idle machines. Its intuitive visual management system allows operators and managers alike to quickly detect and act on issues. Integrated analytics provide powerful, slice-and-dice capabilities similar to leading BI tools, without leaving the platform. Designed for agility, Shoplogix supports scaling from a single line to multi-plant operations across geographies. Continuous improvement tools like Action Plans and Digital Andon alerts keep teams engaged, aligned, and empowered to act—making Shoplogix a powerful ally in the pursuit of operational excellence.

Don't let fraud erode your bottom line, damage your reputation, or stall your growth. FraudNet's AI-driven platform empowers enterprises to stay ahead of threats, streamline compliance, and manage risk at scale—all in real-time. While fraudsters evolve tactics, our platform detects tomorrow's threats, delivering risk assessments through insights from billions of analyzed transactions. Imagine transforming your fraud prevention with a single, robust platform: comprehensive screening for smoother onboarding and reduced risk exposure, continuous monitoring to proactively identify and block new threats, and precision fraud detection across channels and payment types with real-time, AI-powered risk scoring. Our proprietary machine learning models continuously learn and improve, identifying patterns invisible to traditional systems. Paired with our Data Hub of dozens of third-party data integrations, you'll gain unprecedented fraud and risk protection while slashing false positives and eliminating operational inefficiencies. The impact is undeniable. Leading payment companies, financial institutions, innovative fintechs, and commerce brands trust our AI-powered solutions worldwide, and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. With our flexible no-code/low-code architecture, you can scale effortlessly as you grow. Why settle for outdated fraud and risk management systems when you could be building resilience for future opportunities? See the Fraud.Net difference for yourself. Request your personalized demo today and discover how we can help you strengthen your business against threats while empowering growth.

Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS). Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.

Bitdefender Small Business Security provides robust, enterprise-level cyber-defense tailored for smaller companies, ensuring protection across various platforms including Windows, macOS, iOS, and Android. With a centralized management system that is user-friendly, it allows organizations lacking dedicated IT personnel to efficiently implement and oversee their security measures from a single interface. The solution features a multi-layered approach to endpoint protection, incorporating machine learning, behavioral analysis, real-time monitoring, process termination, and rollback capabilities to safeguard against both known and emerging threats. Additionally, it includes ransomware prevention and remediation strategies that detect unusual encryption activities and facilitate file recovery from backups. Users are also protected against fileless attacks, with measures like memory and back-injection interference as well as script blocking. The software further enhances security by preventing phishing and fraud through the blocking of malicious websites and alerting users accordingly, while offering advanced exploit protection with real-time shields for common applications such as browsers, Office software, and Adobe Reader, thus ensuring all-encompassing endpoint security. This comprehensive suite of features makes it an ideal choice for small businesses seeking to fortify their cybersecurity defenses.

For more than twenty years, QUODD has been at the forefront of providing groundbreaking market data solutions, empowering the financial ecosystem with the most extensive collection of integrated market data APIs available. Our robust data offerings are specifically designed to meet the needs of your business, covering a wide array of market segments and ensuring cloud delivery that guarantees both reliability and scalability. Experience data tailored to your preferences: Data Feeds — Enjoy tick-by-tick, real-time streaming from markets worldwide, optimized for the fast-paced demands of trading and analytics. APIs — Benefit from developer-centric, contemporary integration and authentication protocols suited for fintech companies and financial institutions. Integrations — Achieve seamless connectivity with downstream systems and enterprise workflows, featuring cloud-native delivery and scalable on-demand options. With QUODD, you can unlock the potential of your financial operations and stay ahead in a competitive landscape.

Google Cloud is an online service that lets you create everything from simple websites to complex apps for businesses of any size. Customers who are new to the system will receive $300 in credits for testing, deploying, and running workloads. Customers can use up to 25+ products free of charge. Use Google's core data analytics and machine learning. All enterprises can use it. It is secure and fully featured. Use big data to build better products and find answers faster. You can grow from prototypes to production and even to planet-scale without worrying about reliability, capacity or performance. Virtual machines with proven performance/price advantages, to a fully-managed app development platform. High performance, scalable, resilient object storage and databases. Google's private fibre network offers the latest software-defined networking solutions. Fully managed data warehousing and data exploration, Hadoop/Spark and messaging.

3Q is an API-first video infrastructure for developers and engineering teams who want direct control over their media backend. A REST video API and native player SDKs give you programmatic access to hosting, ingestion, encoding, live streaming, video-on-demand, and delivery, so you can build video portals, streaming apps, or OTT backends on a single European platform. The stack is transparent by design. 3Q supports adaptive bitrate streaming over HLS and DASH with mixed HEVC and AVC codecs and automatic Live-to-VoD. Delivery runs over a proprietary global CDN, encryption, and HTTP/2 over TLS 1.3. The Cookie- and Consent-free HTML5 Video Player is barrier-free in accordance with WCAG 2.1/BITV 2.0 and needs no consent layer. Video AI exposes speech-to-text transcription, automatic subtitles, translation, and chapter markers through the same API, and integration fits your existing pipeline and video workflows. What sets 3Q apart is ownership. 3Q runs on its own independent European video infrastructure, so your data stays in the EU and under German jurisdiction. 3Q is GDPR-compliant and all processes are ISO/IEC 27001 certified, with modular pay-as-you-go pricing and 24/7 support from real video experts.

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.