Alternatives to Kelvin

Wayfinder was created at Stanford d.school in response to a key design question: how can we reimagine the education system to develop a sense of purpose, meaning, and belonging for students? Our K-12 solutions help students develop belonging + purpose through meaningful connections with their inner selves and their local communities. Wayfinder offers products, curriculum, and professional development that help students develop future-ready skills and CASEL-aligned abilities. Our powerful assessment suite tracks skills over time and identifies areas for targeted skill building. Collections and Activity Library provide educators with thousands of research-based and evidence-based lessons and activities. Wayfinder can also be used to support MTSS with content for Tier 1 Instruction and Tier 2 + 3. Our Partner Success Managers and technical teams provide year-round support to ensure effective implementation.

On premises, in public cloud, with hybrid environments, and from SaaS infrastructure. Stellar Cyber is the only security platform that provides high-speed, high-fidelity threat detection with automated response across the entire attack area. Stellar Cyber's industry-leading security platform improves security operations productivity, allowing security analysts to eliminate threats in minutes instead if days or weeks. Stellar Cyber's platform accepts data inputs from both existing cybersecurity solutions and its own capabilities and correlating them to present actionable results under a single intuitive interface. This helps security analysts reduce tool fatigue and data overload. It also helps cut operational costs.

Responsive apps keep developers motivated and users engaged. With the DataStax Astra streaming service platform, you can meet these ever-increasing demands. DataStax Astra Streaming, powered by Apache Pulsar, is a cloud-native messaging platform and event streaming platform. Astra Streaming lets you build streaming applications on top a multi-cloud, elastically scalable and event streaming platform. Apache Pulsar is the next-generation event streaming platform that powers Astra Streaming. It provides a unified solution to streaming, queuing and stream processing. Astra Streaming complements Astra DB. Astra Streaming allows existing Astra DB users to easily create real-time data pipelines from and to their Astra DB instances. Astra Streaming allows you to avoid vendor lock-in by deploying on any major public cloud (AWS, GCP or Azure) compatible with open source Apache Pulsar.

DeltaStream is an integrated serverless streaming processing platform that integrates seamlessly with streaming storage services. Imagine it as a compute layer on top your streaming storage. It offers streaming databases and streaming analytics along with other features to provide an integrated platform for managing, processing, securing and sharing streaming data. DeltaStream has a SQL-based interface that allows you to easily create stream processing apps such as streaming pipelines. It uses Apache Flink, a pluggable stream processing engine. DeltaStream is much more than a query-processing layer on top Kafka or Kinesis. It brings relational databases concepts to the world of data streaming, including namespacing, role-based access control, and enables you to securely access and process your streaming data, regardless of where it is stored.

Trafficware's live streaming and predictive learning application allows for the sharing of real-time data between third-party subscribers. TidalWave provides reliable and accurate data to subscribers. It is the foundation of emerging Smart City technologies. TidalWave, powered by machine learning and edge computing is leading the ITS market to the next era by increasing bandwidth and response times so users are able to stream near real-time data. TidalWave compresses data streams to achieve high performance and low latency. This reduces the data volume. The system can save money on infrastructure costs by performing analysis at the hub, at the central ATMS, or street controllers. Get instant, high-resolution information. Predictive learning allows you to optimize vehicle routing. Stream traffic data in real-time. No impact on the city infrastructure. Compatible with 3rd party apps.

StreamNative redefines the streaming infrastructure by integrating Kafka MQ and other protocols into a unified platform that provides unparalleled flexibility and efficiency to modern data processing requirements. StreamNative is a unified platform that adapts to diverse streaming and messaging requirements in a microservices environment. StreamNative's comprehensive and intelligent approach to streaming and messaging empowers organizations to navigate with efficiency and agility the complexity and scalability in the modern data ecosystem. Apache Pulsar’s unique architecture decouples message storage from the message serving layer, resulting in a cloud-native data streaming platform. Scalable and elastic, allowing it to adapt to changing business needs and event traffic. Scale up to millions of topics using architecture that decouples computing from storage.

Our intelligent finance platform lets you get rid of the limitations of legacy applications and spreadsheets. A single, extensible platform that combines financial consolidation, planning and reporting allows you to unify all aspects of financial consolidation, planning, analysis, and reporting. You can conquer the complexity of financial close, consolidation planning, reporting, analysis and reporting. OneStream supports corporate standards and also meets more specific line of business planning requirements. Teams can use trusted financial intelligence to large amounts of operational data to identify trends and financial signals that will allow them to make informed decisions at the speed of business. OneStream's integrated understanding of accounts, currencies and ownership can help you speed up time to value. A unified application replaces multiple legacy systems and cloud point solutions.

Keen is a fully managed event streaming platform. Our real-time data pipeline, built on Apache Kafka, makes it easy to collect large amounts of event data. Keen's powerful REST APIs and SDKs allow you to collect event data from any device connected to the internet. Our platform makes it possible to securely store your data, reducing operational and delivery risks with Keen. Apache Cassandra's storage infrastructure ensures data is completely secure by transferring it via HTTPS and TLS. The data is then stored with multilayer AES encryption. Access Keys allow you to present data in an arbitrary way without having to re-architect or re-architect the data model. Role-based Access Control allows for completely customizable permission levels, down to specific queries or data points.

SuperCore® is our cloud-native core banking platform. SuperCore®, our cloud-native platform, is our core banking platform. It helps banks unlock their data and deliver connected experiences. SuperCore, a SaaS managed service for core banking is available globally through AWS. It simplifies deployment, integration and infrastructure operations. Banks can reduce their cost of service by a large amount. Our no-code builder allows you to create products in just minutes. Our real-time event stream can provide you with new customer insights and help to speed up your decision-making. Our API-first architecture allows you to seamlessly integrate your channels and apps. A flexible, modular, configurable microservices architecture powered by a single data model. Future-proof your technology by adding a layer SmartAdapters with OpenAPI Swagger documentation in JavaScript. Pre-built modules and integrations that help you get up and running faster.

Glantus Data Platform powers all our products, providing an end-to-end solution to accounts payable. The platform connects to all of your data, identifying errors, and returning working capital to your bottom line. Intelligent automation can be deployed quickly to increase efficiency and advanced analytics monitors the performance in real time. Combine data from all your existing transactional system and put it to use. Standard connectors can be used with all major ERP systems. The platform also allows for rapid no-code interfacing with legacy or specialist systems. Finance Shared Services (GSS) and GBS can recover lost profits and create new revenue streams. We stream data from existing systems to unblock stalled automation project. Advanced anomaly detection uses this real-time data in order to save you money. In 4-6 weeks, recovery audit returns money to your bottom line. It allows you to access the cleansed data from all divisions to identify patterns in errors.

Alooma allows data teams visibility and control. It connects data from all your data silos into BigQuery in real-time. You can set up and flow data in minutes. Or, you can customize, enrich, or transform data before it hits the data warehouse. Never lose an event. Alooma's safety nets make it easy to handle errors without affecting your pipeline. Alooma infrastructure can handle any number of data sources, low or high volume.

A streaming database is designed to store, process, analyze, and ingest large data streams. It is a modern data infrastructure which unifies messaging, stream processing and storage to help you get the most out of your data in real time. Massive amounts of data are continuously ingested from many sources, including IoT device sensor sensors. A specially designed distributed streaming data storage cluster can store millions of data streams securely. Subscribe to HStreamDB topics to access data streams in real time as fast as Kafka. You can access and playback data streams at any time thanks to the permanent stream storage. Data streams can be processed based on event-time using the same SQL syntax that you use to query relational databases. SQL can be used to filter, transform and aggregate multiple data streams.

IBM Concert puts you in charge, so you can simplify your operations and optimize them to continuously deliver enhanced client experiences as well as improved developer and SRE productivity. IBM Concert offers generative AI insights to help you better understand your application landscape. It also helps you discover the connections, dependencies and gaps in your application architecture. Concert, powered by watsonx and your existing environment, connects seamlessly with your toolsets and environments. It provides real-time data mapping and dependency mapping, which allows you to identify operational challenges, identify root causes, anticipate problems before they occur, and take proactive action with automation. Concert allows you manage applications across any environment or toolset. Concert connects all the disparate data streams coming from underlying tools, so you can understand your applications better and make business decisions based on outcomes.

IBM Cloud Pak For Integration®, a hybrid integration platform, is an automated, closed-loop system that supports multiple styles and types of integration in a single, unified experience. Connect cloud and on-premise apps to unlock business data and assets, securely move data with enterprise messaging, deliver event interactions, transfer data across all clouds, and deploy and scale with shared foundational services and cloud-native architecture. All this is done with enterprise-grade encryption and security. Automated, closed-loop, and multi-style integrations deliver the best results. Targeted innovations can be used to automate integrations. These include natural language-powered flows, AI-assisted maps and RPA. You can also use company-specific operational information to continuously improve integrations and API test generation. Workload balancing can also be achieved.

Monitor, control and automate the spacecraft's operations. {Operate multiple missions, diverse satellites, and various payloads within a unified interface.|Operate diverse satellites and payloads in multiple missions using a single interface.} Multiple satellite types can be controlled in a single interface, allowing for legacy payload migration and next-generation payload support. Quindar Mission Management allows you to track spacecraft, reserve contact information, automate tasking and intelligently respond when incidents occur on the ground or in space. Utilize advanced analytics and machine-learning to transform data into actionable intelligence. Predictive maintenance, trend analysis and anomaly detection will help you make faster decisions. Data-driven insights to propel your mission. Built to seamlessly integrate with your existing systems, and third-party apps. Your operations can evolve as your needs change, without being locked into a vendor. Analyze flight paths across all C2 systems.

Builders face challenges in accessing reliable, real-time data across multiple blockchains. They rely upon fragmented and centralized data sources, and unreliable infrastructure that slows development and adoption. Synternet provides a solution, allowing developers to create the next generation of cross chain DApps using composable streams of data. Synternet's data layer powers data infrastructure for projects in AI, DeFi and DePIN, trading and IoT, gaming and governance, among others. Access real-time data for complex models on-chain. Build decentralized machine-learning models that can leverage data and events from across chains. Verify ownership through cross-referencing data on-chain. This allows you to check provenance from multiple sources, regardless of the chain you are using. Stream sensor data from the real world to your blockchain app.

Red Hat®, OpenShift®, Streams for Apache Kafka provides a simplified developer experience for building, scaling, and modernizing cloud-native apps or upgrading existing systems. Red Hat OpenShift streams for Apache Kafka make it easy to create, discover and connect to real-time data stream no matter where they're deployed. Streams are essential for delivering event-driven or data analytics applications. The seamless operation of distributed microservices, large data transfers volumes, and managed operations allow teams to focus on their strengths, speed up value, and lower operating costs. OpenShift streams for Apache Kafka is part of the Red Hat OpenShift product range, which allows you to build a wide variety of data-driven solutions.

Oracle Stream Analytics makes it possible to analyze and process large amounts of real-time data using complex correlation patterns, enrichment and machine learning. It provides real-time, actionable business insight from streaming data and automates actions to drive agile businesses of today.

Anomali ThreatStream is an Intelligence Platform that aggregates threat information from multiple sources. It provides an integrated set to tools for quick, efficient investigations and delivers operationalized threat intelligence directly to your security controls at machine speed. ThreatStream automates and accelerates the collection of all relevant global threat information. This gives you greater visibility due to specialized intelligence sources. It also reduces administrative burden. Automates the collection of threat data from hundreds of sources into one, high-fidelity set of threat intelligence. Diversifying intelligence sources without creating administrative overhead can improve your security posture. You can easily access the integrated marketplace to purchase new sources of threat information. Anomali is used by organizations to harness the power and intelligence of threat intelligence to make cybersecurity decisions that reduce risk, strengthen defenses, and increase security.

Scoreboards, LEDs and concourse screens allow you to engage and communicate with all your fans. Advanced programming controls allow for the management and promotion of events via directional signage, live agenda displays as well as kiosk and digital food menus. Streaming presentations to overflow areas or to a wider audience via the internet. Enhance staff communication management in your building. Screens can be used to communicate news and information, welcome visitors, and manage meeting rooms. You can create any number of themed or sponsored displays for events, suites, or any other location that allows guests to choose the channel. Live coordination of advertising and events in all your outlets and stores. Display the latest products and promotions on your screen display.

WinSPC real-time statistical process control helps manufacturers create the highest quality product for the lowest possible cost, achieving regulatory compliance, and optimizing yield while reducing scrap, waste, and rework. WinSPC collects shop-floor data in real-time from virtually any source. Dashboards with charts and real-time statistics summarize current production performance within a single screen while triggered actions connect WinSPC to remote systems and stakeholders. Key WinSPC functions: Monitor - Empower everyone with actionable intelligence. WinSPC displays real-time control charts on the shop floor, enabling your team to immediately detect and correct process issues. Alert - Close the quality loop from "detection-to-correction" with actions to visually alert or take action for you when violations occur. Analyze - Experiment, visualize and reveal more about any variable using the one-click variable analyzer. Mine your data to detect relationships and reveal new insights for improvement. Report - Quickly create, publish, and share quality reports across your organization using our graphical report builder and dozens of starting templates.

Fraud Detection, a platform for risk management, is based on machine learning algorithms as well as stream computing technologies. Fraud Detection can be used to detect frauds in core services such as user registrations and operations, transactions, credit audits, and transactions. Fraud Detection is an industry-specific anti-fraud tool that can be used in e-commerce, finance, and social networking. Fraud Detection reduces risks during business growth using the best practices in risk management that Alibaba Cloud has been using for over 10 years. Fraud Detection's protection capabilities are tested through world-class promotional events. High-dimensional computing in milliseconds, with ultra-high concurrency and high scalability, based on the computing power of Alibaba Cloud and its network infrastructure. To enable real-time risk detection, you can connect your services with Fraud Detection in multiple locations around the world.

Xeotek is a powerful desktop and web application that helps companies explore and develop data streams and applications faster. Xeotek KaDeck was created for developers, business users, and operations personnel. KaDeck gives business users, developers, operations, and business users insight into data and processes. This benefits the entire team: less misunderstandings, less work, more transparency. Xeotek KaDeck gives you control over your data streams. You can save hours by getting insights at the application and data level in projects or your day-to-day operations. KaDeck makes it easy to export, filter, transform, and manage data streams. You can run JavaScript (NodeV4) code and transform & create test data. You can also view & modify consumer offsets. Manage your streams or topics, Kafka Connect instance, schema registry, ACLs, and Kafka Connect topics from one user interface.

Streaming data from operations and transactions is valuable when it is well-understood. SAS Event stream processing includes streaming data quality, analytics, and a vast array SAS and open-source machine learning and high frequency analytics for connecting to, deciphering and cleansing streaming data. It doesn't matter how fast your data moves or how many sources you pull from, all of it is under your control through a single, intuitive interface. You can create patterns and address situations from any aspect of your business, giving the ability to be agile and deal with issues as they arise.

Get a complete picture of the performance of your model. Log inputs and out-puts, and enrich them with metadata. Find out what your model is doing and where it can be improved. Monitor for errors, and identify underperforming cohorts or use cases. The best models are based on user data. To retrain your model, you can programmatically gather examples that are unusual or underperforming. When changing your model or prompt, stop manually reviewing thousands outputs. Apps powered by LLM can be evaluated programmatically. Detect and fix degradations fast. Monitor new deployments and edit your app in real-time. Connect your data sources to your self-hosted model or third-party model. Our serverless streaming dataflow engines can handle large amounts of data. Gantry is SOC-2-compliant and built using enterprise-grade authentication.

We provide a geo-distributed, real-time database, stream processing, and compute runtime for event driven applications across up to 175 global edge data centers. Our platform is loved by API and app developers because it solves the most difficult problems of sharing mutable states across hundreds of locations around the world. We also have high consistency and low latency. Macrometa allows you to surgically expand your existing infrastructure to bring your application closer to your users. This allows you to improve performance and user experience, as well as comply with global data governance laws. Macrometa is a streaming, serverless NoSQL database that can be used for stream data processing, pub/sub, and compute engines. You can create stateful data infrastructure, stateful function & containers for long-running workloads, and process data streams real time. We do the ops and orchestration, you write the code.

AI-powered Informatica Data Engineering streaming allows data engineers to ingest and process real-time streaming data in order to gain actionable insights.

A low-code no-code approach to data quality. SaaS offers flexibility, affordability, ease-of-integration, and efficient support. High standards for encryption, identity management and role-based access control. Data governance and compliance standards. Advanced ML models for detecting row-value data anomalies. The models will adapt to the business and data requirements of users. You can add any number of data sources, records, or attributes. For unpredictable volume spikes, well-equipped. Support streaming and batch processing. Data is continuously monitored to provide real-time notification, with no impact on pipeline performance. Easy boarding, integration, investigation. Telmai is a platform that allows Data Teams to detect and investigate anomalies in real-time. No-code on-boarding. Connect to your data source, and select alerting channels. Telmai will automatically learn data and alert you if there are unexpected drifts.

NVIDIA®, Holoscan, is a domain-agnostic AI-based computing platform. It provides the accelerated full-stack architecture required for real-time, scalable, and software-defined processing of streaming data at the edge, or in the cloud. Holoscan supports a serial camera interface and front-end sensor for video capture, ultrasonic research, data collection, and connection with legacy medical devices. The NVIDIA SDK's tool for measuring data transfer latency can be used to measure the end-to-end complete latency of video processing applications. AI reference pipelines are available for streaming video applications such as radar, high energy light sources, endoscopy and ultrasound. NVIDIA Holoscan contains optimized libraries for network connectivity and data processing as well as AI. It also includes examples to create and run data-streaming low-latency applications using C++, Python or Graph Composer.

LoopPFEP is a cloud-based (or hosted on-premise) PFEP and analytic application. LoopPFEP allows you to learn the loopPFEP Process, and improve your supply chain. LoopPFEP's role-based data access lets you leverage the cloud and PFEP to improve your global supply chain. LoopPFEP's Process is essential to a successful implementation. It can also be used to sustain the solution. Our process training was designed to connect the entire supply chain, from your customers to suppliers. Learn the loopPFEP Process through dynamic training courses. With real-time PFEP data, analytics and access to it, you can make informed business decisions. To maximize the return on capital investments, normalize data from legacy systems and external systems in loopPFEP.

Apama Streaming Analytics enables organizations to analyze and respond to IoT and fast moving data in real time, allowing them to react intelligently to events as they occur. Apama Community Edition by Software AG is a freemium version that allows users to learn about, develop, and implement streaming analytics applications. Software AG Data & Analytics Platform offers an integrated, modular and end-to-end set of world-class capabilities that are optimized for high-speed data management. It also provides connectivity and integration to all major enterprise data sources. You can choose the capabilities that you require: streaming, predictive, and visual analytics. There is also messaging and integration with other enterprise applications. You can integrate historical and other data to create models and enrich customer data.

Equalum's continuous data integr & streaming platform is unique in that it natively supports real time, batch, and ETL use case under one platform. There is no coding required. You can move to real time with a fully orchestrated, drag and drop, no-code UI. You will experience rapid deployment, powerful transformations and scalable streaming data pipes in minutes. Multi-modal, robust and scalable CDC enables real-time streaming and data replicating. No matter what source, the CDC is tuned for best-in class performance. The power of open-source big dataset frameworks without the hassle. Equalum leverages the Scalability of Open-Source Data Frameworks like Apache Spark and Kafka in its Platform engine to dramatically improve streaming and batch data processing performance. This best-in-class infrastructure allows organizations to increase data volumes, improve performance, and minimize system impact.

Time-series analysis is crucial for many companies' day-to-day operations. The most popular uses include analyzing foot traffic and conversions for retailers, detecting data abnormalities, identifying correlations over sensor data, and generating high-quality suggestions. Cloud Inference API Alpha allows you to gather insights from your time-series data in real-time. You can get all the information you need to understand your API query results, including the groups of events examined, the number and background probabilities of each event returned. You can stream data in real time, which makes it possible to calculate correlations for real events. Rely on Google Cloud's entire infrastructure and defense-in depth approach to security, which has been innovating for over 15 years via consumer apps. Cloud Inference API integrates seamlessly with other Google Cloud Storage services.

Network operators require the ability to automate provisioning, managing and monitoring network service paths for a variety end-user- and application-specific constraints. NorthStar Controller is the industry's first WAN-software-defined networking (SDN), controller for traffic optimization. It automates segment routing and IP/MPLS flows within large enterprise networks, as well as cloud providers. NorthStar Controller gives you granular visibility into network traffic flows and optimizes network capacity through closed loop automation. It monitors your network 24/7, collecting streaming telemetry, IGP and BGP-LS data. The data is then analyzed to determine the best service paths for you based on your SLA constraints. NorthStar Controller allows you to run your network at higher capacity utilization levels and with greater confidence.

Azure Data Explorer provides fast, fully managed data analytics services for real-time analysis of large amounts of data streaming from websites, applications, IoT devices, etc. Ask questions and iteratively analyze data on the fly to improve products and customer experiences, monitor devices, boost operations, and increase profits. Identify patterns, anomalies, or trends quickly in your data. Find answers to your questions quickly and easily by exploring new topics. The optimized cost structure allows you to run as many queries as needed. You can explore new possibilities with your data efficiently. With the fully managed, easy-to-use data analytics service, you can focus on insights and not infrastructure. Rapidly respond to rapidly changing and fast-flowing data. Azure Data Explorer simplifies analytics for all types of streaming data.

Many companies need to be able to detect anomalies in their time series data. Timeseries Insights API Preview allows you to gain insights from your time-series data in real-time. You will find all the information you need to understand your API query result, including anomaly events, forecasted ranges of values and slices of events. Stream data in real time, allowing you to detect anomalies as they occur. Google Cloud's comprehensive infrastructure and defense-in depth approach to security has been innovating for more than 15 years. Timeseries Insights API, at its core, is fully integrated with other Google Cloud Storage service, giving you consistent access across storage products. You can detect trends and anomalies across multiple event dimensions. Handle large datasets containing tens to billions of events. Execute thousands of queries per second.

Legacy systems can present a mountain of data and multiple options that can obscure options and cause irreversible and unforeseen consequences. Priority 5 integrates all data streams and interconnects in real-time, so you can continuously evaluate decisions at every moment and at every level of operation. You have invested in different tools for situational awareness and command and control. Priority 5 is the only way to unify them all and deliver a decision-ready platform far better than viewers that stack layers of unrelated information. Your team will have the ability to make the right decisions in the command, fusion or operations center as well as in the field. Priority 5 can accept data streams coming from any source, even the software tools that you use in your operations centre.

You can get the insight you need to protect your business integrity and to avoid suspicious transactions involving high-risk third parties. SAP's powerful Big Data software can help you detect and prevent anomalies. This will reduce fraud risk and lead to fewer losses. SAP Business Integrity Screening helps you identify anomalous activities quickly by using flexible rule sets, predictive analyses and other tools that can uncover fraud patterns. Analytical capabilities that reduce false positives can help you protect revenue and reduce fraud-induced loss by screening large volumes of transactions. Analyze behavioral analytics and exception-based scenarios to prevent reoccurrences and determine effective methods for mitigating future fraud and anomalies. You can refine your detection strategies by using simulation and calibration features to perform what-if analysis on historical data. This will help you determine which approaches are the most effective.

TransUnion TruEmpower allows your organization to connect and enrich all identity data available from a single point of truth. A smart connection between first-, third- and second-party data, combining addressable media signals, consumer attributes and behaviors. This central repository of identity data empowers marketing to build smarter audiences and deliver more relevant experiences. It also produces more meaningful measurements to continuously refine strategy and execution. TransUnion TruEmpower knows how important it is to maintain control and ownership of your data. The IDMP allows you to access raw event-level data on identity directly within your organization's data sciences environment. This identity extract allows you to combine household and individual identities with other data sources in order to gain deeper insights and uncover new opportunities.

Live stream automatically to your website, YouTube and Facebook. StreamSpot specializes on automated content distribution for multi-platform delivery. Our core services include our patented streaming automation workflow that allows you to concentrate on the event and not the stream. A powerful platform that integrates with many other services and has robust syndication capabilities makes it easy to get your content in front people wherever they are. This will help you reach more people and grow your audience globally. Stream high-quality broadcasts from any internet-connected device. Broadcasters have a wide selection of apps and encoders to choose from. The StreamSpot ONE Encoder and our Turn-key Streaming Bundles offer the best in simplicity. StreamSpot's live streaming platform offers a seamless and complete streaming solution for any organization or audience. Live streaming is possible for any purpose, including broadcasting your next big event, worship experience, community gathering, or worship experience.

Selector's software-as-a-service employs machine learning and NLP-driven, self-serve analytics to provide instant access to actionable insights and reduce MTTR by up to 90%. Selector Analytics uses machine learning and artificial intelligence to perform three essential functions and provide actionable insight to network, cloud, or application operators. Selector Analytics can collect any data, including configurations, alerts and metrics, events, logs, and logs, from heterogeneous sources. Selector Analytics can harvest data from router logs or device or network metrics. Selector Analytics collects data and normalizes, filters and clusters it. Selector Analytics also uses pre-built workflows that allow for actionable insights. Selector Analytics then uses machine-learning-based data analytics to analyze metrics and events and detect anomalies.

Apache Flink is a distributed processing engine and framework for stateful computations using unbounded and bounded data streams. Flink can be used in all cluster environments and perform computations at any scale and in-memory speed. A stream of events can be used to produce any type of data. All data, including credit card transactions, machine logs, sensor measurements, and user interactions on a website, mobile app, are generated as streams. Apache Flink excels in processing both unbounded and bound data sets. Flink's runtime can run any type of application on unbounded stream streams thanks to its precise control of state and time. Bounded streams are internal processed by algorithms and data structure that are specifically designed to process fixed-sized data sets. This results in excellent performance. Flink can be used with all of the resource managers previously mentioned.

It takes just minutes to collect, parse, and forward log data using an automated log collection powered by AI/ML patterns detection. PortX by XPLG is the best log data management and forwarding solution for log data streams. PortX reduces scripting and manual labor by 90% Optimizing costs, reducing RegExp, Grok work and ongoing maintenance. High performance, Load balanced and persistent, Secure & Secure PortX simplifies high-performance data stream management. It also reduces data consumption. Route/Forward Log Data Streams from any Service. Filter and archive valuable events. Forward log streams to any logging service, including SIEM, ELK, and more. Smart-managed filters can reduce data volumes. All data can be customized with Visual Log Parser and Log Viewer. You can control every data source using UI, permissions and log events filters.

Change data capture and replication service that is serverless and easy to use. Access to streaming data in MySQL, PostgreSQL and AlloyDB databases. BigQuery offers near-real-time analytics. Easy-to use setup with built-in security connectivity for faster time to value. A serverless platform which automatically scales without the need to provision or manage resources. Log-based mechanism reduces the load on source databases and any potential disruption. Synchronize data reliably across heterogeneous storage systems, databases, and applications with low latency while minimising impact on source performance. Easy-to-use and serverless service that scales up and down seamlessly and does not require infrastructure management will get you up and running quickly. Connect and integrate your data with the best Google Cloud services, including BigQuery, Spanner Dataflow and Data Fusion.

WarpStream, an Apache Kafka compatible data streaming platform, is built directly on object storage. It has no inter-AZ network costs, no disks that need to be managed, and it's infinitely scalable within your VPC. WarpStream is deployed in your VPC as a stateless, auto-scaling binary agent. No local disks are required to be managed. Agents stream data directly into and out of object storage without buffering on local drives and no data tiering. Instantly create new "virtual" clusters in our control plan. Support multiple environments, teams or projects without having to manage any dedicated infrastructure. WarpStream is Apache Kafka protocol compatible, so you can continue to use your favorite tools and applications. No need to rewrite or use a proprietary SDK. Simply change the URL of your favorite Kafka library in order to start streaming. Never again will you have to choose between budget and reliability.

Kapacitor, a native data processing engine in InfluxDB 1.x, is an integral component of the InfluxDB 2.0 platform. Kapacitor is able to process both batch and stream data from InfluxDB. It can also act on these data in real time via its programming language TICKscript. Modern applications need more than operator alerts and dashboarding. They also require the ability to trigger actions. Kapacitor's alerting system uses a publish-subscribe design. Alerts are sent to topics, and subscribers subscribe to a topic. Kapacitor is very flexible and can be used to control your environment. It can perform tasks such as stock reordering and auto-scaling. Kapacitor has a simple plugin architecture (or interface) that allows it integrate with any anomaly detector engine.

ScaleOut Digital Twin Streaming Service™ Easily create and deploy real-time twins for streaming analytics Connect with many data sources with Azure & AWS IoT Hubs, Kafka, etc. Maximize situational awareness through live, aggregate analytics. A breakthrough cloud service that simultaneously tracks telemetry across millions of data sources, with "real-time digital twins" -- enabling deep, immediate introspection and state-tracking for thousands of devices. The powerful UI makes deployment easy and displays aggregate analytics in real-time to maximize situational awareness. Ideal for a wide variety of applications, including the Internet of Things, real-time intelligent monitoring and logistics, financial services, and financial services. Simple pricing makes it easy to get started. The ScaleOut Digital Twin Builder software and ScaleOut Digital Twin Streaming Service enable the next generation of stream processing.

Automate anomaly detection in order to meet SLAs. Monitor the entire network. Optimize digital experiences. Modernize network security by leveraging existing infrastructure with an AI-assisted, agentless approach. Access should be restricted based on the least privilege. Create boundaries based on identity. Extend to devices, applications, and infrastructure. Instant notifications for escalated incidents. Cohesive logs allow you to review all session details and activity. Obtain network topology information and enable device fingerprinting. Connect seamlessly to your existing infrastructure. Unify connectivity and management from campus to the cloud. Lumeus allows organizations to monitor and detect escalations by using AI, segment traffic to prevent lateral movements, and secure user access through MFA and zero-trust to network infrastructure. All of this can be done with a single unified management plane. Lumeus offers a cloud-based management portal that connects with your infrastructure using API.

Altair Panopticon Streaming Analytics allows engineers and business users to create, modify, and deploy advanced event processing and data visualization apps with a drag and drop interface. They can connect to any data source, including streaming feeds and time-series database, and develop stream processing programs. They can also design visual user interfaces to give them the perspective they need to make informed decisions based upon large amounts of rapidly changing data.

Streaming service is a streaming service that allows developers and data scientists to stream real-time events. It is serverless and Apache Kafka compatible. Streaming can be integrated with Oracle Cloud Infrastructure, Database, GoldenGate, Integration Cloud, and Oracle Cloud Infrastructure (OCI). The service provides integrations for hundreds third-party products, including databases, big data, DevOps, and SaaS applications. Data engineers can easily create and manage big data pipelines. Oracle manages all infrastructure and platform management, including provisioning, scaling and security patching. Streaming can provide state management to thousands of consumers with the help of consumer groups. This allows developers to easily create applications on a large scale.