Best Data Management Software for APERIO DataWise

Open-source web application, the Jupyter Notebook, allows you to create and share documents with live code, equations, and visualizations. Data cleaning and transformation, numerical modeling, statistical modeling and data visualization are just a few of the many uses.

Integrate analytics into any workflow or application to make crucial decisions - confidently. Analytics can be integrated into your everyday workflows and applications to help you make better and faster decisions for your business and customers. To make analytics easy and intuitive, integrate customized analytics into your products and applications. The AI-driven predictive analytics platform is designed to increase product adoption, retention, and engagement. Sisense, a top-rated Business Intelligence (BI), reporting software, allows you to prepare, analyze, and examine data from multiple sources. Sisense is trusted by industry-leading companies like NASDAQ, Phillips and Airbus. It offers an end to end, agile BI platform that enables businesses to make better, faster data-driven business decisions. Sisense has an open, single-stack architecture that enables machine learning, best-in class analytics engines, and delivers insights beyond the dashboard.

Apache Kafka®, is an open-source distributed streaming platform.

Your cloud data platform. Access to any data you need with unlimited scalability. All your data is available to you, with the near-infinite performance and concurrency required by your organization. You can seamlessly share and consume shared data across your organization to collaborate and solve your most difficult business problems. You can increase productivity and reduce time to value by collaborating with data professionals to quickly deliver integrated data solutions from any location in your organization. Our technology partners and system integrators can help you deploy Snowflake to your success, no matter if you are moving data into Snowflake.

Tableau, a comprehensive business intelligence (BI/analytics) solution, allows you to generate, analyze, and interpret business data. Tableau allows users to gather data from many sources, including spreadsheets, SQL databases and Salesforce. Tableau offers real-time visual analytics as well as an interactive dashboard that allows users to slice and dice data to make relevant insights and find new opportunities. Tableau allows users to customize the platform for different industry verticals such as communication, banking, and more.

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.

Dagster is the cloud-native open-source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. It is the platform of choice data teams responsible for the development, production, and observation of data assets. With Dagster, you can focus on running tasks, or you can identify the key assets you need to create using a declarative approach. Embrace CI/CD best practices from the get-go: build reusable components, spot data quality issues, and flag bugs early.

Amazon QuickSight allows everyone within your organization to access your data. This includes asking questions in natural language, exploring interactive dashboards, and automatically looking for patterns or outliers using machine learning. QuickSight powers millions upon millions of dashboard views per week for customers like the NFL, Expedia and Volvo. This allows their end-users make better data-driven decision making. To receive relevant visualizations, ask questions about your data using Q's ML-powered engine. This allows you to ask conversational questions without the need for data preparation by admins and authors. AWS' machine learning expertise allows you to uncover hidden insights in your data, forecast accurately and do what-if analysis. You can also add natural language narratives or easy-to-understand natural languages to your dashboards using AWS' machine learning expertise. You can embed interactive visualizations and dashboards in your applications, as well as sophisticated dashboard authoring and natural language query capabilities.

ABB Analyze, an informatics service, is designed to assist business owners in measuring and tracking performance, identifying growth opportunities, and comparing results with peers. It is impossible to improve what you don't measure. We go above and beyond to provide users with more statistics than anyone else. Please take a moment to fill out our online questionnaire. One of our team members will then contact you to learn more about your practice. ABB Analyze is transforming healthcare analytics by providing performance dashboards that can help you measure your business' success. ABB Analyze integrates the best healthcare information technologies with practice management tools.

TimescaleDB is the most popular open-source relational database that supports time-series data. Fully managed or self-hosted. You can rely on the same PostgreSQL that you love. It has full SQL, rock-solid reliability and a huge ecosystem. Write millions of data points per node. Horizontally scale up to petabytes. Don't worry too much about cardinality. Reduce complexity, ask more questions and build more powerful applications. You will save money with 94-97% compression rates using best-in-class algorithms, and other performance improvements. Modern cloud-native relational database platform that stores time-series data. It is based on PostgreSQL and TimescaleDB. This is the fastest, easiest, and most reliable way to store all of your time-series information. All observability data can be considered time-series data. Time-series problems are those that require efficient solutions to infrastructure and application problems.

Qlik Data Integration platform automates the process for providing reliable, accurate and trusted data sets for business analysis. Data engineers are able to quickly add new sources to ensure success at all stages of the data lake pipeline, from real-time data intake, refinement, provisioning and governance. This is a simple and universal solution to continuously ingest enterprise data into popular data lake in real-time. This model-driven approach allows you to quickly design, build, and manage data lakes in the cloud or on-premises. To securely share all your derived data sets, create a smart enterprise-scale database catalog.

The Databricks Data Intelligence Platform enables your entire organization to utilize data and AI. It is built on a lakehouse that provides an open, unified platform for all data and governance. It's powered by a Data Intelligence Engine, which understands the uniqueness in your data. Data and AI companies will win in every industry. Databricks can help you achieve your data and AI goals faster and easier. Databricks combines the benefits of a lakehouse with generative AI to power a Data Intelligence Engine which understands the unique semantics in your data. The Databricks Platform can then optimize performance and manage infrastructure according to the unique needs of your business. The Data Intelligence Engine speaks your organization's native language, making it easy to search for and discover new data. It is just like asking a colleague a question.

Seeq is the first app that focuses on process data analytics. Search your data, add context, model, cleanse, find patterns, establish boundaries and collaborate in real-time with time series data. No matter what your operational data system or process historian - the OSIsoft®, PI System®, Honeywell’s Uniformance®, Emerson DeltaV and Ovation or Inductive Automation's Ignition - Seeq can connect and get to work in minutes. What's missing in the current hype about predictive analytics, machine learning and data science is solutions to the real problems that an analytics-driven company faces. Your current employees' expertise. Collaboration and knowledge capture are key to fostering sharing and reuse of analytics efforts. The ability to quickly distribute insights to those who need them to improve outcomes.

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.

Actian DataConnect, a versatile hybrid integration tool, empowers anyone to connect anything, anywhere and anytime. DataConnect allows for quick deployment, management, and design across hybrid, on-premise, and cloud environments. DataConnect's emphasis on reuse, adaptability, and self-service integration makes it easy to onboard and deliver rapid return on investment. Actian's patent-pending UniversalConnect™, an intelligent agent framework, allows you to connect to any data source, format, location and protocol. An intuitive and codeless user interface makes it easy to create, configure, manage, and repair integrations in real time. UniversalConnect™, a patented technology, allows you to connect quickly to any data source, format or location, as well as any cloud or SaaS applications. You can deploy your integrations wherever you want, on-premise, in cloud, hybrid environment, VPC, BYOL, embedded in SaaS apps.

Prefect Cloud is a command centre for your workflows. You can instantly deploy from Prefect core to gain full control and oversight. Cloud's beautiful UI allows you to keep an eye on your infrastructure's health. You can stream real-time state updates and logs, launch new runs, and get critical information right when you need it. Prefect Cloud's managed orchestration ensures that your code and data are safe while Prefect Cloud's Hybrid Model keeps everything running smoothly. Cloud scheduler runs asynchronously to ensure that your runs start on the right time every time. Advanced scheduling options allow you to schedule parameter values changes and the execution environment for each run. You can set up custom actions and notifications when your workflows change. You can monitor the health of all agents connected through your cloud instance and receive custom notifications when an agent goes offline.

Modular IoT platform allowing for best-of-breed OEM technology to back-end development and operations. This enables IoT solution delivery at scale. Advanced rule logic modeling, execution, and lifecycle management. Automate any data workflow from the simple to complex. Waylay platform was built from the ground up in order to natively deal with multiple data patterns such as IoT, OT, and IT. The same platform allows you to combine streaming and time series analytics. You can quickly deliver self-service and KPI-centric apps for IoT solutions to non-developer groups, accelerating the time to market. The benchmark will help you determine which automation tools are best suited for your IoT use case. IoT application development differs fundamentally from normal IT development. It involves bridging the physical world with Operations Technology (OT), actuators, sensors, and gateways to the digital realm of Information Technology (IT).

OpenTSDB is composed of a Time Series Daemon, (TSD), and a set of command-line utilities. OpenTSDB can only be interacted with by one or more TSDs. Each TSD can be run independently. There is no master or shared state, so you can run as many TSDs you need to handle any load. Each TSD uses the HBase open-source database or hosted Google Bigtable service for time-series data storage and retrieval. The data schema is optimized for fast aggregations and retrieval of similar time series, minimizing storage space. The TSD does not require users to directly access the underlying store. The TSD can be communicated with via a simple telnet protocol, an HTTP API, or a built-in GUI. OpenTSDB's first step is to send time series data directly to the TSDs. OpenTSDB has many tools that allow you to pull data from different sources.

Hadoop has been an integral part of the data management landscape since 2010. The majority of organizations that have adopted Hadoop over the past decade to build their data lake infrastructure. Although Hadoop was a cost-effective method to store petabytes in a distributed environment, there were many complexities. The systems required IT skills that were specialized and the on-premises environments did not allow for the ability to scale up or down as the usage requirements changed. Cloud computing addresses the complexity and flexibility issues associated with Hadoop environments on-premises. Many companies have chosen to automate cloud data migration using WANdisco to reduce the risks and cost associated with modernizing their data. LiveData Migrator can be used as a self-service tool and does not require any WANdisco services or expertise.

Cloud Composer's managed nature with Apache Airflow compatibility allow you to focus on authoring and scheduling your workflows, rather than provisioning resources. Google Cloud products include BigQuery, Dataflow and Dataproc. They also offer integration with Cloud Storage, Cloud Storage, Pub/Sub and AI Platform. This allows users to fully orchestrate their pipeline. You can schedule, author, and monitor all aspects of your workflows using one orchestration tool. This is true regardless of whether your pipeline lives on-premises or in multiple clouds. You can make it easier to move to the cloud, or maintain a hybrid environment with workflows that cross over between the public cloud and on-premises. To create a unified environment, you can create workflows that connect data processing and services across cloud platforms.

The core technology that enables modern data integration and data management. Connect disparate, structured and unstructured data sources quickly. Catalog your entire data ecosystem. The data is kept in the source and can be accessed whenever needed. Adapt data models to the consumer's needs, even if they come from multiple sources. Your back-end technologies can be hidden from end users. You can secure the virtual model and use it to consume standard SQL and other formats such as SOAP, REST, SOAP, and OData. Access to all types data is easy. Data integration and data modeling capabilities are available. Active Data Catalog and self service capabilities for data and metadata discovery and preparation. Full data security and governance capabilities. Data queries executed quickly and intelligently. Real-time data delivery in all formats. Data marketplaces can be created. Data-driven strategies can be made easier by separating business applications and data systems.

TrendMiner is an advanced industrial analytics platform that is fast, powerful, and intuitive. It was designed to monitor and troubleshoot industrial processes in real-time. It allows for robust data collection, analysis and visualization, allowing everyone in industrial operations to make smarter data-driven decision efficiently. TrendMiner is a Proemion Company founded in 2008. Our global headquarters are located in Belgium and we have offices in the U.S.A., Germany, Spain, and the Netherlands. TrendMiner has strategic alliances with major players like Amazon, Microsoft and SAP. It also offers standard integrations for a variety of historians, including Honeywell PHD and GE Proficy Historian.

PostgreSQL, a powerful open-source object-relational database system, has over 30 years of experience in active development. It has earned a strong reputation for reliability and feature robustness.

Enterprise plugins such as Splunk, ServiceNow and Datadog allow you to view all your data in one place. Collaboration features built-in allow teams to collaborate from one dashboard. Advanced security and compliance features ensure that your data remains secure. Access to Prometheus, Grafite, Grafana experts, and hands-on support. Other vendors will try and sell you an "everything is in my database" mentality. Grafana Labs has a different approach. We want to help with your observation, not own it. Grafana Enterprise gives you access to enterprise plugins. These plugins allow you to import your data sources into Grafana. This allows you to visualize all data in a more efficient and effective manner, allowing you to get the most out of expensive and complex monitoring systems.

Amazon Timestream is a fast, scalable and serverless time series data service for IoT/operational applications. It makes it possible to store and analyze trillions per day up to 1000 times faster than traditional relational databases and at as low as 1/10th of the cost. Amazon Timestream helps you save time and money when managing the lifecycles of time series data. It stores recent data in memory and moves historical data to a cost-optimized storage tier according to user defined policies. Amazon Timestream's purpose-built query tool allows you to access and analyze both recent and historic data simultaneously, without having to specify in the query whether the data is in the in-memory tier or the cost-optimized. Amazon Timestream's built-in time series analytics functions allow you to identify trends and patterns within your data in real-time.