Streaming Analytics Platforms

CruzOC is a scalable multi-vendor network management and IT operations tool for robust yet easy-to-use netops. Key features of CruzOC’s integrated and automated management include performance monitoring, configuration management, and lifecycle management for 1000s of vendors and converging technologies. With CruzOC, administrators have implicit automation to control their data center operations and critical resources, improve network and service quality, accelerate network and service deployments, and lower operating costs. The result is comprehensive and automated problem resolution from a single-pane-of-glass. Cruz Monitoring & Management – NMS, monitoring & analytics -- health, NPM, traffic, log, change – Automation & configuration management -- compliance, security, orchestration, provisioning, patch, update, configuration, access control – Automated deployment -- auto-deploy, ZTP, remote deploy Deployments available on-premise and from the cloud.

Instant™ Enterprise Data and Intelligence. Visibility into all transaction data, as it is happening, wherever it is happening worldwide. With just one network connection, organizations receive worldwide Accounting, Liquidity Management, FX, Marketing, and Supply Chain information — delivered in a single managed solution to empower enterprise intelligence. The TreasuryPay product set streams your global receivables information, delivering instant accountancy and cognitive services. It is, quite simply, the most advanced intelligence and insights platform currently available to global organizations. Instantly provide your organization with enriched information for your entire global enterprise. The change is easy. The Return on Investment, remarkable. Actionable intelligence and real-time global accountancy are now available at your fingertips with TreasuryPay Instant™.

IBM Streams evaluates a broad range of streaming data — unstructured text, video, audio, geospatial and sensor — helping organizations spot opportunities and risks and make decisions in real time.

Real-time operations monitoring and data visualization, including KPIs, dashboards, trends, analytics, hierarchy and alerts. Aggregates all of your data sources (industrial, IoT, business, external, etc.) on the fly without moving the data, and displays it in real-time with obvious context on any device.

Kapacitor is a native data processing engine for InfluxDB 1.x and is an integrated component in the InfluxDB 2.0 platform. Kapacitor can process both stream and batch data from InfluxDB, acting on this data in real-time via its programming language TICKscript. Today’s modern applications require more than just dashboarding and operator alerts—they need the ability to trigger actions. Kapacitor’s alerting system follows a publish-subscribe design pattern. Alerts are published to topics and handlers subscribe to a topic. This pub/sub model and the ability for these to call User Defined Functions make Kapacitor very flexible to act as the control plane in your environment, performing tasks like auto-scaling, stock reordering, and IoT device control. Kapacitor provides a simple plugin architecture, or interface, that allows it to integrate with any anomaly detection engine.

Infinite retention for Apache Kafka® with Confluent. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming enables you to innovate and win - by being both real-time and highly-scalable. Ever wonder how your rideshare app analyzes massive amounts of data from multiple sources to calculate real-time ETA? Ever wonder how your credit card company analyzes millions of credit card transactions across the globe and sends fraud notifications in real-time? The answer is event streaming. Move to microservices. Enable your hybrid strategy through a persistent bridge to cloud. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. The list is endless.

Guavus SQLstream is acknowledged as a leading provider of streaming analytics with its SQLstream Blaze suite of high-performance, low-latency, and low-cost edge data collection and smart mediation products.  ABI Research ranked Guavus SQLstream as the Overall Leader in their Data Management: IoT Stream Processing and Streaming Analytics competitive report, December 2020.  SQLstream’s products are being used for real-time data quality assurance and competitive price optimization, real-time travel-time services integrating sensors with smartphone applications, traffic congestion detection and prediction for ‘smart city’ initiatives, real-time emergency services dashboard and alerts, and continuous data quality assessment and correction for IoT devices. Their customer list includes companies such as Walmart, Cisco, and Amazon AWS, which licensed the Guavus SQLstream technology for use within AWS Kinesis Data Analytics, powering the applications of thousands of AWS customers.

Enable everyone to discover and observe streaming data. Sharing, documenting and cataloging your data can increase productivity by up to 95%. Then from data, build apps for production use cases. Apply a data-centric security model to cover all the gaps of open source technology, and address data privacy. Provide secure and low-code data pipeline capabilities. Eliminate all darkness and offer unparalleled observability in data and apps. Unify your data mesh and data technologies and be confident with open source in production. Lenses is the highest rated product for real-time stream analytics according to independent third party reviews. With feedback from our community and thousands of engineering hours invested, we've built features that ensure you can focus on what drives value from your real time data. Deploy and run SQL-based real time applications over any Kafka Connect or Kubernetes infrastructure including AWS EKS.

Amazon MSK is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. Apache Kafka is an open-source platform for building real-time streaming data pipelines and applications. With Amazon MSK, you can use native Apache Kafka APIs to populate data lakes, stream changes to and from databases, and power machine learning and analytics applications. Apache Kafka clusters are challenging to setup, scale, and manage in production. When you run Apache Kafka on your own, you need to provision servers, configure Apache Kafka manually, replace servers when they fail, orchestrate server patches and upgrades, architect the cluster for high availability, ensure data is durably stored and secured, setup monitoring and alarms, and carefully plan scaling events to support load changes.

Event Hubs is a fully managed, real-time data ingestion service that’s simple, trusted, and scalable. Stream millions of events per second from any source to build dynamic data pipelines and immediately respond to business challenges. Keep processing data during emergencies using the geo-disaster recovery and geo-replication features. Integrate seamlessly with other Azure services to unlock valuable insights. Allow existing Apache Kafka clients and applications to talk to Event Hubs without any code changes—you get a managed Kafka experience without having to manage your own clusters. Experience real-time data ingestion and microbatching on the same stream. Focus on drawing insights from your data instead of managing infrastructure. Build real-time big data pipelines and respond to business challenges right away.

Real-Time Analytics on Raw Data. Live ingest from S3, Kafka, DynamoDB & more. Explore raw data as SQL tables. Build amazing data-driven applications & live dashboards in minutes. Rockset is a serverless search and analytics engine that powers real-time apps and live dashboards. Operate directly on raw data, including JSON, XML, CSV, Parquet, XLSX or PDF. Plug data from real-time streams, data lakes, databases, and data warehouses into Rockset. Ingest real-time data without building pipelines. Rockset continuously syncs new data as it lands in your data sources without the need for a fixed schema. Use familiar SQL, including joins, filters, and aggregations. It’s blazing fast, as Rockset automatically indexes all fields in your data. Serve fast queries that power the apps, microservices, live dashboards, and data science notebooks you build. Scale without worrying about servers, shards, or pagers.

Easily deploy powerful messaging in your favourite clouds and container platforms in IaaS/PaaS environments.

A Comprehensive API Infrastructure For Subscriber Management and Retention. Cleeng Core combines all features needed to effectively manage your subscribers. - A seamless conversion process and flexible entitlement management - Engineered for revenue growth - Subscriber-centric platform for relationships that last

Google Cloud Pub/Sub: Scalable, in-order message delivery with pull and push modes. Auto-scaling and auto-provisioning with support from zero to hundreds of GB/second. Independent quota and billing for publishers and subscribers. Global message routing to simplify multi-region systems. High availability made simple: Synchronous, cross-zone message replication and per-message receipt tracking ensures reliable delivery at any scale. No-planning, auto-everything: Auto-scaling and auto-provisioning with no partitions eliminates planning and ensures workloads are production ready from day one. Advanced features, built in: Filtering, dead-letter delivery, and exponential backoff without sacrificing scale help simplify your applications

A single, unified logging layer is key to make log data accessible and usable. However, existing tools fall short: legacy tools are not built for new cloud APIs and microservice-oriented architecture in mind and are not innovating quickly enough. Fluentd, created by Treasure Data, solves the challenges of building a unified logging layer with a modular architecture, an extensible plugin model, and a performance optimized engine. In addition to these features, Fluentd Enterprise addresses Enterprise requirements such as Trusted Packaging. Security. Certified Enterprise Connectors, Management / Monitoring, and Enterprise SLA-Based Support, Assurance, and Enterprise Consulting Services

ScaleOut Digital Twin Streaming Service™ Easily build and deploy real-time digital twins for streaming analytics Connect to many data sources with Azure & AWS IoT hubs, Kafka, and more Maximize situational awareness with live, aggregate analytics. Introducing a breakthrough cloud service that simultaneously tracks telemetry from millions of data sources with “real-time� digital twins — enabling immediate, deep introspection with state-tracking and highly targeted, real-time feedback for thousands of devices. A powerful UI simplifies deployment and displays aggregate analytics in real time to maximize situational awareness. Ideal for a wide range of applications, including the Internet of Things (IoT), real-time intelligent monitoring, logistics, and financial services. Simplified pricing makes getting started fast and easy. Combined with the ScaleOut Digital Twin Builder software toolkit, the ScaleOut Digital Twin Streaming Service enables the next generation in stream processing.

Enables tech ops teams to monitor and diagnose delivery of streaming content and advertising to ensure a TV-quality experience. Engage viewers and grow audience to increase revenue. Empowers marketers and content creators to build audience with the optimal mix of social media, advertising, and content. Inside 3.3 billion applications, analyzing 1.8 trillion data events per day, across 180 countries. Cross-screen, viewer-centric data organized for every second of every stream. Purpose built to drive decisions that maximize engagement, revenue, and ROI. Real-time, cross-screen insights do more and give you a competitive advantage. Don’t guess, know. Conviva’s platform delivers the world’s most complete, accurate streaming video data set. Harness the power of over 150 billion streams per year to drive priorities and decisions across your multi-faceted business, from operations and marketing to research, product and executive strategies.

Cumulocity IoT is the #1 low-code, self-service IoT platform—the only one that comes pre-integrated with the tools you need for fast results: device connectivity and management, application enablement and integration, as well as streaming and predictive analytics. Free your business from proprietary technology stacks. Because you’ll be using the only completely open IoT platform, you can connect any “thing� today and tomorrow. Bring your own hardware and tools, and pick the components that best fit. Get up and running on the IoT in minutes. Connect a device and view its data. Create a real-time interactive dashboard. Define rules to monitor and act on events. Do all of this without calling on IT or writing any code! Easily integrate new IoT data with the core enterprise systems, applications and processes that have run your business for years—again, without coding—for a fluid flow of data. You’ll have more context to make better decisions.

StreamSets DataOps Platform. Your data integration engine for flowing data from myriad batch and streaming sources to your modern analytics platforms. * Collaborative, visual pipeline design * Deploy and scale on-edge, on-prem or in the cloud * Map and monitor dataflows for end-to-end visibility * Enforce Data SLAs for availability, quality and privacy Go further, faster. Replace specialized coding skills will visual pipeline design, test and deployment. Get projects up and running in a fraction of the time. Don't let brittle pipelines and lost data cripple your applications. Handle unexpected changes automatically. Get a live map with metrics, alerting and drill down. The platform decouples data integration from the underlying data systems. Add and upgrade new sources and analytics platforms without downtime. Be sure your applications are getting the right data in time to perform as you designed them. Only StreamSets provides the end-to-end reliability, visibility & control.

Apache Sparkâ„¢ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.

Embiot® is a compact, high performance IoT analytics software agent for IoT gateway and smart sensor applications. This edge computing application is small enough to integrate directly into devices, smart sensors and gateways, but powerful enough to calculate complex analytics from large amounts of raw data at high speed. Internally, Embiot uses a stream processing model to enable it to handle sensor data that arrives at different rates and out of order. It has a simple intuitive configuration language and a rich set of math, stats and AI functions, making it fast and easy to solve your analytics problems. Embiot supports a range of input methods including MODBUS, MQTT, REST/XML, REST/JSON, Name/Value and CSV. Embiot is able to send output reports to multiple destinations concurrently in REST, MQTT and custom text formats. For security, Embiot supports TLS selectively on any input or output stream, HTTP and MQTT authentication .

Analyze, continuously query, and act on IoT and other streaming data at lightning fast speeds. Take real-time operations and analytics to the next level with intelligent applications that deploy quickly for taking action based on new decisions and models, all without extra overhead. TIBCO® Streaming software is enterprise-grade, cloud-ready streaming analytics for quickly building real-time applications at a fraction of the cost and risk of alternatives.

AI-powered Informatica Data Engineering Streaming enables data engineers to ingest, process, and analyze real-time streaming data for actionable insights.

Streaming data from operations, transactions, sensors and IoT devices is valuable – when it's well-understood. Event stream processing from SAS includes streaming data quality and analytics – and a vast array of SAS and open source machine learning and high-frequency analytics for connecting, deciphering, cleansing and understanding streaming data – in one solution. No matter how fast your data moves, how much data you have, or how many data sources you’re pulling from, it’s all under your control via a single, intuitive interface. You can define patterns and address scenarios from all aspects of your business, giving you the power to stay agile and tackle issues as they arise.

The Kinetica Streaming Data Warehouse gives organizations up-to-the-second results that incorporate all their data in a powerful, unified data warehouse. With simultaneous streaming and analysis, results always reflect the latest data, and location intelligence and machine learning-powered predictive analytics can then be applied. Whereas the traditional data warehouse is focused on the first mile of ingesting and storing data for analysis, Kinetica is focused on simultaneous streaming and analysis, ensuring businesses can transform data into immediate, usable insight.