Alternatives to Quickmetrics

Cloud-based solution for observability that helps businesses manage and track workload and performance through a single dashboard. Monitor all the services you run on your cloud without compromising cost, granularity or scale. Groundcover is a cloud-native APM solution that makes observability easy so you can focus on creating world-class products. Groundcover's proprietary sensor unlocks unprecedented granularity for all your applications. This eliminates the need for costly changes in code and development cycles, ensuring monitoring continuity.

Data integration for hybrid clouds Modern, reliable data integration across both your private cloud and public cloud. All this in real-time, with change data capture and streams. Striim was developed by the executive and technical team at GoldenGate Software. They have decades of experience in mission critical enterprise workloads. Striim can be deployed in your environment as a distributed platform or in the cloud. Your team can easily adjust the scaleability of Striim. Striim is fully secured with HIPAA compliance and GDPR compliance. Built from the ground up to support modern enterprise workloads, whether they are hosted in the cloud or on-premise. Drag and drop to create data flows among your sources and targets. Real-time SQL queries allow you to process, enrich, and analyze streaming data.

Reports Your Customer Will Love Juicebox takes the pain out of producing data reports and presentations—and you’ll delight customers with beautiful, interactive web experiences. Design once, deliver to 5 or 500 customers. Personalized to each. Modern, interactive charts that tell a story – no coding required. Build with simple spreadsheets, or connect to your database. Imagine if PowerPoint and Tableau had a baby 👶 — and it was beautiful! 😍 Save Time. Build once, use often. Whether you need to present similar data across time, customers, or locations, no need to manually recreate the same report. Design Like a Pro. Our built-in templates, styling themes, and smart layouts will ensure your customers get a premium experience. Inspire Action. Data stories go beyond traditional dashboards and reports. Our connected data stories enable guided flow and interactive exploration.

Scale from 0 to millions of events every second. Arroyo is shipped as a single compact binary. Run locally on MacOS, Linux or Kubernetes for development and deploy to production using Docker or Kubernetes. Arroyo is an entirely new stream processing engine that was built from the ground-up to make real time easier than batch. Arroyo has been designed so that anyone with SQL knowledge can build reliable, efficient and correct streaming pipelines. Data scientists and engineers are able to build real-time dashboards, models, and applications from end-to-end without the need for a separate streaming expert team. SQL allows you to transform, filter, aggregate and join data streams with results that are sub-second. Your streaming pipelines should not page someone because Kubernetes rescheduled your pods. Arroyo can run in a modern, elastic cloud environment, from simple container runtimes such as Fargate, to large, distributed deployments using the Kubernetes logo.

Apache Kafka is a fully managed service that offers zero vendor lock-in, as well as all the capabilities you need to build your streaming infrastructure. You can easily set up fully managed Kafka within 10 minutes using our web console, or programmatically through our API, CLI or Terraform provider. Connect it to your existing tech stack using over 30 connectors. You can feel confident in your setup thanks to the service integrations that provide logs and metrics. Fully managed distributed data streaming platform that can be deployed in any cloud. Event-driven applications, near real-time data transfer and pipelines and stream analytics are all possible uses for this platform. Aiven's Apache Kafka is hosted and managed for you. You can create clusters, migrate clouds, upgrade versions, and deploy new nodes all with a single click. All this and more through a simple dashboard.

Scalable Python framework designed to build real-time intelligent applications, data pipelines, and integrate AI/ML models

The Edge allows you to analyze and take action on your data. Big Data can be made small and relevant. All your assets can be used to collect sensor data. Connect any sensor, PLC or DCS and Historian. Condition monitoring of remote assets. Industry 4.0 data collection and integration Data flows can combine streaming and enterprise data. You can use your favorite Cloud Provider, or your own data centre for data storage. Crosser Edge MLOps functionality allows you to create, manage, and deploy your own ML models. Crosser Edge Node can run any ML framework. Crosser cloud central resource library for your trained model. Drag-and-drop is used for all other steps of the data pipeline. One operation is all it takes to deploy ML models on any number of Edge Nodes. Crosser Flow Studio enables self-service innovation. A rich library of pre-built modules is available. Facilitates collaboration between teams and sites. No more dependence on a single member of a team.

It is difficult, costly, and risky to connect systems to scale AI projects. Pandio's cloud native managed solution simplifies data pipelines to harness AI's power. You can access your data from any location at any time to query, analyze, or drive to insight. Big data analytics without the high cost Enable data movement seamlessly. Streaming, queuing, and pub-sub with unparalleled throughput, latency and durability. In less than 30 minutes, you can design, train, deploy, and test machine learning models locally. Accelerate your journey to ML and democratize it across your organization. It doesn't take months or years of disappointment. Pandio's AI driven architecture automatically orchestrates all your models, data and ML tools. Pandio can be integrated with your existing stack to help you accelerate your ML efforts. Orchestrate your messages and models across your organization.

Spark Streaming uses Apache Spark's language-integrated API for stream processing. It allows you to write streaming jobs in the same way as you write batch jobs. It supports Java, Scala, and Python. Spark Streaming recovers lost work as well as operator state (e.g. Without any additional code, Spark Streaming recovers both lost work and operator state (e.g. sliding windows) right out of the box. Spark Streaming allows you to reuse the same code for batch processing and join streams against historical data. You can also run ad-hoc queries about stream state by running on Spark. Spark Streaming allows you to create interactive applications that go beyond analytics. Apache Spark includes Spark Streaming. It is updated with every Spark release. Spark Streaming can be run on Spark's standalone mode or other supported cluster resource mangers. It also has a local run mode that can be used for development. Spark Streaming uses ZooKeeper for high availability in production.

Integrate legacy systems seamlessly into the next-gen cloud or data platforms with one solution. Connect allows you to take control of your data, from mainframe to cloud. Integrate data via batch and real-time input for advanced analytics, comprehensive machinelearning and seamless data migration. Connect draws on the decades of experience Precisely has gained as a leader in mainframe sorting and IBM i data availability security. This allows the company to be a leader in the field of complex data access and integration. Access to all enterprise data is possible for critical business projects. Connect supports a wide range targets and sources for all your ELT/CDC needs.

Klipfolio PowerMetrics is the first & only analytics tool you need. It easily brings together all of the metrics you and your team need to make faster, more confident decisions. Bring all of your business metrics together in one place PowerMetrics eliminates manual reporting by automating every step of your analytics. - Connect and automate updates for all of your data, no coding or technical expertise required - Uncover, explore, and communicate insight with your entire team Use metrics, dashboards, and PDF reports and stay in-the-know and in control of your business and the KPIs and metrics that matter most. Get it now. FREE.

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

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

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.

Akka is a toolkit that allows you to build highly concurrent, distributed and resilient message-driven Java and Scala applications. Akka Insights, an intelligent monitoring and observability tool, is specifically designed for Akka. Actors and streams allow you to build systems that scale up by using more server resources and out by using multiple servers. You can build systems that self-heal and remain responsive to failures by using the principles of The Reactive Manifesto Akka. Distributed systems that are resilient to failure. Load balancing across nodes and adaptive routing. Cluster Sharding is used for event sourcing and CQRS. Distributed Data to ensure eventual consistency with CRDTs Backpressure and asynchronous stream processing. A great platform for microservice development is the fully async streaming HTTP server and client. Alpakka streams integrations.

Radicalbit Natural Analytics is a DataOps platform that enables Streaming Data Integration as well as Real-time Advanced Analytics. The easiest way to get data to the right people at the right time is the best. RNA offers users the latest technologies in self-service mode. It allows for real-time data processing and takes advantage of Artificial Intelligence solutions to extract value from data. It automates data analysis, which can be laborious. It also helps to communicate important insights and findings in easily understandable formats. You can respond quickly and effectively with real-time situational awareness. You can achieve new levels of efficiency, optimization, and ensure collaboration between siloed groups. You can monitor and manage your models from one central view. Then, deploy your evolving models in seconds. No downtime.

The Flowcore platform combines event streaming and event sourcing into a single service that is easy to use. Data flow and replayable data storage designed for developers in data-driven startups or enterprises that want to remain at the forefront of growth and innovation. All data operations are efficiently preserved, ensuring that no valuable data will ever be lost. Immediate transformations, reclassifications and loading of your data to any destination. Break free from rigid data structure. Flowcore's scalable architectural design adapts to your business growth and handles increasing volumes of data without difficulty. By streamlining and simplifying backend data processes, you can allow your engineering teams to focus on what they are best at, creating innovative products. Integrate AI technologies better, enhancing your products with smart data-driven solutions. Flowcore was designed with developers in mind but its benefits go beyond the dev team.

Event Hubs is a fully managed, real time data ingestion service that is simple, reliable, and scalable. Stream millions of events per minute from any source to create dynamic data pipelines that can be used to respond to business problems. Use the geo-disaster recovery or geo-replication features to continue processing data in emergencies. Integrate seamlessly with Azure services to unlock valuable insights. You can allow existing Apache Kafka clients to talk to Event Hubs with no code changes. This allows you to have a managed Kafka experience, without the need to manage your own clusters. You can experience real-time data input and microbatching in the same stream. Instead of worrying about infrastructure management, focus on gaining insights from your data. Real-time big data pipelines are built to address business challenges immediately.

Amazon MSK is a fully managed service that makes coding and running applications that use Apache Kafka for streaming data processing easy. Apache Kafka is an open source platform that allows you to build real-time streaming data applications and pipelines. Amazon MSK allows you to use native Apache Kafka APIs for populating data lakes, stream changes between databases, and to power machine learning or analytics applications. It is difficult to set up, scale, and manage Apache Kafka clusters in production. Apache Kafka clusters can be difficult to set up and scale on your own.

JavaScript Charting Library with 10x faster performance and a simple API. Our JS Charts can be easily integrated with popular Frameworks such as Vue, Angular, and React. The library includes 30+ chart types, including line, column and bar, area, pie and doughnut, stacked, and others. Graphs can be easily integrated with many server-side technologies such as PHP, Ruby, Python and ASP.Net. It can render thousands of data points with no performance lag. CanvasJS supports 30 types of Charts and renders across all devices, including iPhone, iPad Android, Mac, Mac, and PCs. This allows you create rich dashboards that can be used across multiple devices without compromising the functionality or maintainability of your web app.

We know how simple Apache Kafka®, can be when you have the right tools. kPow was created to simplify the Kafka development experience and save businesses time and money. kPow makes it easy to find the root cause of production problems in a matter of clicks and not hours. With kPow's Data Inspect and kREPL functions, you can search tens of thousands messages per second. Are you new to Kafka kPow's Kafka UI is unique and allows developers to quickly understand the core Kafka concepts. You can upskill new members of your team and increase your Kafka knowledge. kPow offers a range of Kafka management features and monitoring capabilities in a single Docker Container. You can manage multiple clusters and schema registries. Connect installs with one instance.

Slack allows you to share insights on your office TV screens and website with your clients. You can also send automated email updates or share your insights via Slack. No IT support or experience is required. Octoboard is 100% self service software. It automatically collects, visualizes and updates data for more than 18.000 business clients, both in the cloud or on-premise. What is measured gets done! Communicate your business goals and performance targets in numbers. In seconds, create beautiful dashboards and reports that can be shared. Octoboard automatically collects data from all cloud applications. We will ensure data consistency and save you time on data visualization, sharing, reporting, and reporting. Octoboard allows you to manage your devices, office TVs, and monitors. Take control of your data. Live website traffic, leads, signups, upgrades, customer retention, support tickets, and more. Combine Sales, Marketing and Support metrics with real-time events.

You can quickly create and share dynamic, customizable, and beautiful dashboards that showcase your data in just a few clicks. Explore your data with our no-code visualiser or perform deeper analysis using the state-of-the art SQL editor. A lightweight, powerful visualization layer will allow you to leverage the investments made in your data infrastructure. Superset doesn't require any additional ingestion layers and is independent of your underlying data architecture. Apache Superset is an open-source data visualization tool that was developed out of Airbnb. Preset was founded by the original creator and maintainer of Superset. It provides a complete, easy-to-use, enterprise-ready platform for Superset.

Unified stream and batch data processing that is serverless, fast, cost-effective, and low-cost. Fully managed data processing service. Automated provisioning of and management of processing resource. Horizontal autoscaling worker resources to maximize resource use Apache Beam SDK is an open-source platform for community-driven innovation. Reliable, consistent processing that works exactly once. Streaming data analytics at lightning speed Dataflow allows for faster, simpler streaming data pipeline development and lower data latency. Dataflow's serverless approach eliminates the operational overhead associated with data engineering workloads. Dataflow allows teams to concentrate on programming and not managing server clusters. Dataflow's serverless approach eliminates operational overhead from data engineering workloads, allowing teams to concentrate on programming and not managing server clusters. Dataflow automates provisioning, management, and utilization of processing resources to minimize latency.

Cloud Foundry and Kubernetes support microservice-based streaming and batch processing. Spring Cloud Data Flow allows you to create complex topologies that can be used for streaming and batch data pipelines. The data pipelines are made up of Spring Boot apps that were built using the Spring Cloud Stream and Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a variety of data processing use cases including ETL, import/export, event streaming and predictive analytics. Spring Cloud Data Flow server uses Spring Cloud Deployer to deploy data pipelines made from Spring Cloud Stream and Spring Cloud Task applications onto modern platforms like Cloud Foundry or Kubernetes. Pre-built stream and task/batch starter applications for different data integration and processing scenarios allow for experimentation and learning. You can create custom stream and task apps that target different middleware or services using the Spring Boot programming model.

Nussknacker allows domain experts to use a visual tool that is low-code to help them create and execute real-time decisioning algorithm instead of writing code. It is used to perform real-time actions on data: real-time marketing and fraud detection, Internet of Things customer 360, Machine Learning inferring, and Internet of Things customer 360. A visual design tool for decision algorithm is an essential part of Nussknacker. It allows non-technical users, such as analysts or business people, to define decision logic in a clear, concise, and easy-to-follow manner. With a click, scenarios can be deployed for execution once they have been created. They can be modified and redeployed whenever there is a need. Nussknacker supports streaming and request-response processing modes. It uses Kafka as its primary interface in streaming mode. It supports both stateful processing and stateless processing.

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.

RudderStack is the smart customer information pipeline. You can easily build pipelines that connect your entire customer data stack. Then, make them smarter by pulling data from your data warehouse to trigger enrichment in customer tools for identity sewing and other advanced uses cases. Start building smarter customer data pipelines today.

Transform your data into a live stream that is immediately available and ready for use. Leo makes event sourcing simpler by making it easy for you to create, visualize and monitor your data flows. You no longer have to be restricted by legacy systems once you unlock your data. Your developers and stakeholders will be happy with the dramatically reduced development time. Microservice architectures can be used to innovate and increase agility. Microservices are all about data. To make microservices a reality, an organization must have a reliable and repeatable backbone of data. Your custom app should support full-fledged searching. It won't be difficult to add and maintain a search database if you have the data.

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.

Allow everyone to view and discover streaming data. Up to 95% of productivity can be increased by sharing, documenting, and cataloging data. Next, create apps for production use cases using the data. To address privacy concerns and cover all the gaps in open source technology, apply a data-centric security approach. Secure and low-code data pipeline capabilities. All darkness is eliminated and data and apps can be viewed with unparalleled visibility. Unify your data technologies and data meshes and feel confident using open source production. Independent third-party reviews have rated Lenses the best product for real time stream analytics. We have built features to allow you to focus on what is driving value from real-time data. This was based on feedback from our community as well as thousands of engineering hours. You can deploy and run SQL-based real-time applications over any Kafka Connect, Kubernetes or Kubernetes infrastructure, including AWS EKS.

You can quickly collect, process, analyze, and analyze video and data streams. Amazon Kinesis makes it easy for you to quickly and easily collect, process, analyze, and interpret streaming data. Amazon Kinesis provides key capabilities to process streaming data at any scale cost-effectively, as well as the flexibility to select the tools that best fit your application's requirements. Amazon Kinesis allows you to ingest real-time data, including video, audio, website clickstreams, application logs, and IoT data for machine learning, analytics, or other purposes. Amazon Kinesis allows you to instantly process and analyze data, rather than waiting for all the data to be collected before processing can begin. Amazon Kinesis allows you to ingest buffer and process streaming data instantly, so you can get insights in seconds or minutes, instead of waiting for hours or days.

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.

The most innovative cloud database service available, with unmatched data mobility across AWS, Azure and Google Cloud, as well as built-in automation for resource optimization and workload optimization. MongoDB Atlas is a global cloud database service that supports modern applications. Fully managed MongoDB can be deployed across AWS, Google Cloud and Azure. This is possible with best-in class automation and proven practices that ensure availability, scalability and compliance with the highest data security and privacy standards. This is the best way to deploy, scale, and run MongoDB in cloud. MongoDB Atlas provides security controls for all data. Allow enterprise-grade features to be integrated with your existing security protocols or compliance standards. MongoDB Atlas protects your data with preconfigured security features that allow for authentication, authorization and encryption.

Deliver Continuous Intelligence Solutions easier, faster and more cost-effectively with less engineering effort. The Cogility Cogynt Platform delivers cloud-scalable, Expert AI-based analytics-powered event stream processing software. A complete integrated toolset allows organizations to deliver continuous intelligence solutions quickly, easily and more efficiently. The end-toend platform streamlines deployment by streamlining model logic, customizing the data source intake, processing of data streams, examining and visualizing intelligence findings, sharing them, auditing, and improving results. Cogynt’s Authoring Tool is a convenient design environment that uses zero-code for creating, updating and deploying data model. Cogynt Data Management Tool allows you to quickly publish your model for immediate application to stream data processing, while abstracting Flink Job Coding.

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.

Aiven manages your open-source data infrastructure in the cloud so that you don't have. Developers can do what is best for them: create applications. We do what we love: manage cloud data infrastructure. All solutions are open-source. You can also freely transfer data between clouds and create multi-cloud environments. You will know exactly what you will be paying and why. We combine storage, networking, and basic support costs. We will keep your Aiven software up and running. We will be there to help you if there is ever an issue. In 10 minutes, you can deploy a service on Aiven. 1. Register now - No credit card information required 2. Select your open-source service and choose the region and cloud to deploy to it 3. Select your plan and get $300 in credit 4. Click "Create service" to configure your data sources

Professional applications can be built to automate workflows, monitor operations continuously, and control processes in real time. Your solutions can run 24/7 on servers at the edge and in the cloud. The spreadsheet user interface makes it easy to create software without being a programmer. Instead of writing program code you can drag-and-drop data and fill cells with formulas to create charts in a way that you already know. You will find all the protocols you need to connect sensors and machines such as MQTT, OPC UA, and REST on board. Streamsheets is a native stream data processing tool like MQTT or kafka. You can grab a topic stream and transform it to broadcast it out into the endless streaming universe. REST gives you access to the world. Streamsheets allow you to connect to any web service, or let them connect to your site. Streamsheets can be run on your servers in the cloud, on your edge devices, or on your Raspberry Pi.

Axual provides Kafka-as-a-Service to DevOps teams. Our intuitive Kafka platform will empower your team to unlock insights, drive decisions and improve productivity. Axual is the ideal solution for enterprises that want to seamlessly integrate data streaming with their core IT infrastructure. Our all-in one Kafka platform was designed to eliminate the requirement for extensive technical skills or knowledge, and provide a ready-made product that delivers all of the benefits of event-streaming without the hassle. The Axual Platform, an all-in-one platform, is designed to simplify and enhance the deployment and management of Apache Kafka real-time streaming data. The Axual Platform offers a wide range of features to meet the needs of modern enterprises. This allows organizations to maximize the potential of data streaming, while minimizing complexity.

Conduktor is the all-in one interface that allows you to interact with the Apache Kafka ecosystem. You can confidently develop and manage Apache Kafka. Conduktor DevTools is the all-in one Apache Kafka desktop client. You can manage Apache Kafka confidently and save time for your whole team. Apache Kafka can be difficult to learn and use. Conduktor is loved by developers for its best-in-class user interface. Conduktor is more than an interface for Apache Kafka. Conduktor gives you and your team control over your entire data pipeline thanks to its integration with many technologies around Apache Kafka. It gives you and your team the most comprehensive tool for Apache Kafka.

TIBCO offers industrial-strength software solutions that meet performance, throughput and reliability requirements. They also offer a variety of deployment options and technologies to deliver real-time information where it is needed. The TIBCO platform will allow you to manage and monitor your TIBCO applications, no matter where they are located: in the cloud, on premises, or at the edge. TIBCO builds solutions that are critical to the success of some of the largest companies in the world.

The Open, Multi-Cloud Stack to Modern Data Apps. Built on Apache Cassandra™, an open-source Apache Cassandra™. Global scale and 100% uptime without vendor lock in You can deploy on multi-clouds, open-source, on-prem and Kubernetes. For a lower TCO, use elastic and pay-as you-go. Stargate APIs allow you to build faster with NoSQL, reactive, JSON and REST. Avoid the complexity of multiple OSS projects or APIs that don’t scale. It is ideal for commerce, mobile and AI/ML. Get building modern data applications with Astra, a database-as-a-service powered by Apache Cassandra™. Richly interactive apps that are viral-ready and elastic using REST, GraphQL and JSON. Pay-as you-go Apache Cassandra DBaaS which scales easily and affordably

Apache Kafka®, with Confluent, has an infinite retention. Be infrastructure-enabled, not infrastructure-restricted Legacy technologies require you to choose between being real-time or highly-scalable. Event streaming allows you to innovate and win by being both highly-scalable and real-time. Ever wonder how your rideshare app analyses massive amounts of data from multiple sources in order to calculate real-time ETA. Wondering how your credit card company analyzes credit card transactions from all over the world and sends fraud notifications in real time? Event streaming is the answer. Microservices are the future. A persistent bridge to the cloud can enable your hybrid strategy. Break down silos to demonstrate compliance. Gain real-time, persistent event transport. There are many other options.

Say goodbye to endless requests for customization and the frustration that comes with dealing with SQL queries. Create beautiful dashboards that showcase your data within the time it takes to brew a cup. Our SDKs provide seamless integration and comprehensive features, allowing you to experience the ultimate flexibility. Our intuitive no-code widget allows you to create integrated dashboards and data visualisations. Easily integrate with our SDKs for developers or develop directly on the platform. Our tools are designed with a strong focus in data privacy. They keep your data on the systems you own. With AI, you can create custom dashboards with data visualizations using a simple prompt.

IBM® Event Streams, an event-streaming platform built on Apache Kafka open-source software, is a smart app that reacts to events as they occur. Event Streams is based upon years of IBM operational experience running Apache Kafka stream events for enterprises. Event Streams is ideal for mission-critical workloads. You can extend the reach and reach of your enterprise assets by connecting to a variety of core systems and using a scalable RESTAPI. Disaster recovery is made easier by geo-replication and rich security. Use the CLI to take advantage of IBM productivity tools. Replicate data between Event Streams deployments during a disaster-recovery scenario.

Your Next-gen BI Tool. Create beautiful dashboards, reports and visualisations with ease. Create beautiful dashboards, reports and visualisations: - export to your favorite formats - send alerts to your team via email, Slack, Zapier, or Zapier - share your dashboards with your team and customers via embedded dashboards Trevor is a secure read-only transaction that takes just 20 minutes to setup. dbt-compatible.

Are you tired of remapping financial data? Reach allows financial professionals to sync financial data directly from the source, creating beautiful reports for clients. You can choose from pre-built reports, dashboards, and metrics, or create your own. Access your financial reports and dashboards on any device. You can create universal reports and dashboards that will work for all your clients. They will also be automatically updated. You can save time and frustration by not having to remap data for financial reports. The data can be viewed live from 35,000 feet, or through a microscope. It's never been easier to share specific data. Reach Reporting was built on a spreadsheet platform and is designed to make the lives of CPAs easier.

Everyone can become a data scientist, analyze data easily, gain insight and innovate business. Datafor's powerful and unique data visualization and analysis capabilities help organizations gain real value from their data. Everyone in the business can ask complicated data questions and get meaningful insights. Datafor will intelligently create your data model. This allows you to focus on understanding business and data and standardizing and unifying measurement standards. Each employee has access accurate, customizable metrics and datasets. Drag and drop to create beautiful dashboards and reports without any professional skills. Business analysts can easily communicate data stories and the value data from any device, anytime, anywhere. Datafor's scalability helps you stay up to date with technology trends as the data age changes people's lives and data technologies.

esProc desktop is a Programming Language for non-programmers and a toolkit to process data and perform analytics on the desktop more efficiently and easily. esProc Desktop is able to solve the following problems: Excel can be used to perform complex calculations and transformations. Interactive data analysis in multiple steps that BI software is unable to perform; 3. Repetitive processing batch files (xls/csv/...) on hand (querying/calculating/generating/converting) esProc has simple to use, smooth and beautiful interface, full programming capabilities, naturally built in Excel, non-professional programmers can play it independently.

Recognized worldwide for excellence, AnyChart is an award-winning JavaScript (HTML5) library that empowers teams to transform raw data into engaging visual experiences. Built to serve the needs of both developers and businesses, it provides a complete toolkit for creating interactive charts, maps, and dashboards that perform reliably across web, mobile, and desktop environments. With a robust set of over 90 chart types — including Gantt, stock, geospatial, bar, and line — AnyChart makes it easy to turn complex information into clear, actionable insights. Its seamless integration with any technology stack and compatibility with diverse data sources make it ideal for enhancing reports, powering embedded analytics in SaaS platforms, or supporting enterprise-grade systems. Fully customizable, responsive, and continuously evolving with new features, AnyChart delivers simplicity, flexibility, and fast, high-quality results. Trusted by more than 75% of Fortune 500 companies and thousands of developers all over the world, it is the proven choice for advanced data visualization. Get started with AnyChart JS Charts today!