Best DataOps Tools

Embed sensors for IoT use cases and enrich sensor data with control system and environment data. Integrate this in real time with enterprise data and deploy predictive algorithms to discover new insights and harvest your data for meaningful use. Use analytics to predict maintenance problems, understand asset utilization, reduce defects and optimize processes. Harness the power of connected devices to deliver remote monitoring and diagnostics services. Employ IoT Analytics to predict safety hazards and comply with regulations to reduce worksite accidents. Lumada Data Integration: Rapidly build and deploy data pipelines at scale. Integrate data from lakes, warehouses and devices, and orchestrate data flows across all environments.

K2View provides an operational data fabric dedicated to making every customer experience personalized and profitable. The K2View platform continually ingests all customer data from all systems, enriches it with real-time insights, and transforms it into a patented Micro-Database™ - one for every customer. To maximize performance, scale, and security, every micro-DB is compressed and individually encrypted. It is then delivered in milliseconds to fuel quick, effective, and pleasing customer interactions. K2View products include: • Data Fabric Software • Test Management Tools • Data Preparation Software Global 2000 companies – including AT&T, Vodafone, Sky, and Hertz – deploy K2View in weeks to deliver outstanding multi-channel customer service, minimize churn, achieve hyper-segmentation, and assure data compliance.

HighByte Intelligence Hub is the first DataOps solution purpose-built for industrial data. It provides industrial companies with an off-the-shelf software solution to accelerate and scale the usage of operational data throughout the extended enterprise by contextualizing, standardizing, and securing this valuable information. HighByte Intelligence Hub runs at the Edge, scales from embedded to server-grade computing platforms, connects devices and applications via a wide range of open standards and native connections, processes streaming data through standard models, and delivers contextualized and correlated information to the applications that require it. Use HighByte Intelligence Hub to model and deliver your data more efficiently, stop writing custom scripts and troubleshooting broken integrations, and reduce time spent preparing data for analysis. HighByte Intelligence Hub provides the data infrastructure to scale your Industry 4.0 initiatives from pilot to production.

Tengu enables companies to become data-driven, and boost their business by: · making this data most useful and accessible at the right moment, · increasing the efficiency of the data scientists and engineers in executing their tasks to fasten up the data-to-insights cycle, and · helping them understand and manage the complexity of building and operating a data-driven company. TENGU is a DataOps platform for data-driven companies, that enables them to improve the efficiency of data scientists, analysts and other profiles inside the company. It enables them to focus on business intelligence instead of data operations. See more at www.tengu.io

Superb AI provides a new generation machine learning data platform to AI teams so that they can build better AI in less time. The Superb AI Suite is an enterprise SaaS platform built to help ML engineers, product teams, researchers and data annotators create efficient training data workflows, saving time and money. Majority of ML teams spend more than 50% of their time managing training datasets Superb AI can help. On average, our customers have reduced the time it takes to start training models by 80%. Fully managed workforce, powerful labeling tools, training data quality control, pre-trained model predictions, advanced auto-labeling, filter and search your datasets, data source integration, robust developer tools, ML workflow integrations, and much more. Training data management just got easier with Superb AI. Superb AI offers enterprise-level features for every layer in an ML organization.

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.

Unravel makes data work anywhere: on Azure, AWS, GCP or in your own data center– Optimizing performance, automating troubleshooting and keeping costs in check. Unravel helps you monitor, manage, and improve your data pipelines in the cloud and on-premises – to drive more reliable performance in the applications that power your business. Get a unified view of your entire data stack. Unravel collects performance data from every platform, system, and application on any cloud then uses agentless technologies and machine learning to model your data pipelines from end to end. Explore, correlate, and analyze everything in your modern data and cloud environment. Unravel’s data model reveals dependencies, issues, and opportunities, how apps and resources are being used, what’s working and what’s not. Don’t just monitor performance – quickly troubleshoot and rapidly remediate issues. Leverage AI-powered recommendations to automate performance improvements, lower costs, and prepare.

Delphix is the industry leader in DataOps and provides an intelligent data platform that accelerates digital transformation for leading companies around the world. The Delphix DataOps Platform supports a broad spectrum of systems—from mainframes to Oracle databases, ERP applications, and Kubernetes containers. Delphix supports a comprehensive range of data operations to enable modern CI/CD workflows and automates data compliance for privacy regulations, including GDPR, CCPA, and the New York Privacy Act. In addition, Delphix helps companies sync data from private to public clouds, accelerating cloud migrations, customer experience transformation, and the adoption of disruptive AI technologies.

biGENIUS automates the entire lifecycle of analytical data management solutions (e.g. data warehouses, data lakes, data marts, real-time analytics, etc.) and thus providing the foundation for turning your data into business as fast and cost-efficient as possible. Save time, efforts and costs to build and maintain your data analytics solutions. Integrate new ideas and data into your data analytics solutions easily. Benefit from new technologies thanks to the metadata-driven approach. Advancing digitalization challenges traditional data warehouse (DWH) and business intelligence systems to leverage an increasing wealth of data. To accommodate today’s business decision making, analytical data management is required to integrate new data sources, support new data formats as well as technologies and deliver effective solutions faster than ever before, ideally with limited resources.

End-to-end DataOps built on an agile platform that improves and safeguards your data assets. Arena is the premier augmented data management platform. Our active data catalog enables self-service data enrichment and consumption to quickly control complex data environments. Customizable workflows that increase the accuracy and reliability of every data set. Use machine-learning to identify and align master data assets for better data decisioning. Complete lineage with detailed visualizations alongside masking and tokenization for superior security. We make data management easy. Arena catalogs your data, wherever it is and our extensible connections enable analytics to happen across your preferred tools. Conquer data sprawl challenges: Our software drives business and analytics success while providing the controls and extensibility needed across today’s decentralized, multi-cloud data complexity.

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.

Brevo’s suite of data analytics and business intelligence features fully integrate with any existing data infrastructure, securely taking complex business decisions and simplifying the outcome. Ensuring you have the insights you need without the wait. No more reporting delays. Delivering insights at your fingertips, activating intelligence on your cell phone. Democratization of data starts with easy to digest visualizations, with easy to access insights. Brevo is a hybrid, multi-cloud platform that fully integrates with any system architecture. Delve deeper into data than ever before with the Brevo advanced analytics engine. Embed Brevo into your systems and processes. We bring native intelligence to business. A cloud-based self-service platform providing interactive reporting through enhanced visualizations and real time analytics using any data source.

Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity. Airflow pipelines are defined in Python, allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically. Easily define your own operators and extend libraries to fit the level of abstraction that suits your environment. Airflow pipelines are lean and explicit. Parametrization is built into its core using the powerful Jinja templating engine. No more command-line or XML black-magic! Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows.

Lentiq is a collaborative data lake as a service environment that’s built to enable small teams to do big things. Quickly run data science, machine learning and data analysis at scale in the cloud of your choice. With Lentiq, your teams can ingest data in real time and then process, clean and share it. From there, Lentiq makes it possible to build, train and share models internally. Simply put, data teams can collaborate with Lentiq and innovate with no restrictions. Data lakes are storage and processing environments, which provide ML, ETL, schema-on-read querying capabilities and so much more. Are you working on some data science magic? You definitely need a data lake. In the Post-Hadoop era, the big, centralized data lake is a thing of the past. With Lentiq, we use data pools, which are multi-cloud, interconnected mini-data lakes. They work together to give you a stable, secure and fast data science environment.

One platform to integrate, transform, and monitor data at scale. Single platform for all your ETL, ELT, Data API, API Integration, or Data as a Service workflows. No/low-code way to quickly integrate any data in any format from anywhere. Work with logical data units, Nexsets, to combine, enrich, validate, filter, and prepare your data. Provision ready to use data to any destination in a simple, consistent way. Monitor your data flows with continuous intelligence, validation, error management, notifications, and retry mechanisms. Get complete oversight for your data operations. Continuous metadata intelligence delivers data-as-a-product with powerful self-service data tools for teams.

Big Data Quality must be validated to ensure the sanctity, accuracy & completeness of data, as it moves through multiple IT platforms, or as it is stored in Data Lakes, so that the data is trustworthy and fit for use. Key Big Data Challenge: Data frequently loses its trustworthiness due to (i) Undetected errors in incoming data (ii) Multiple data sources that get out of sync over time (iii) Structural change to data in upstream processes not expected downstream and, (iv) Presence of multiple IT platforms (Hadoop, DW, Cloud). Unexpected errors creep in when data resides in a system, or it moves between a Data Warehouse to a Hadoop environment , or NoSQL database or the Cloud. Faulty process, ad hoc data policies, poor discipline in capturing and storing data and lack of control over some data sources (eg., external data providers) all contribute to data changing unexpectedly. What is DataBuck: An autonomous, self-learning, Big Data Quality validation and Data Matching tool.

RightData is an intuitive, flexible, efficient and scalable data testing, reconciliation, validation suite that allows stakeholders in identifying issues related to data consistency, quality, completeness, and gaps. It empowers users to analyze, design, build, execute and automate reconciliation and Validation scenarios with no programming. It helps highlighting the data issues in production thereby preventing compliance, credibility damages and minimize the financial risk to your organization. RightData is targeted to improve your organization's data quality, consistency reliability, completeness. It also allows to accelerate the test cycles thereby reducing the cost of delivery by enabling Continuous Integration and Continuous Deployment (CI/CD). It allows to automate the internal data audit process and help improve coverage thereby increasing the confidence factor of audit readiness of your organization.

badook allows data scientists to write automated tests for data used in training and testing AI models (and much more). Validate data automatically and over time. Reduce time to insights. Free data scientists to do more meaningful work.

Reclaim control of your data pipelines and deliver value instantly, without errors. The DataKitchen™ DataOps platform automates and coordinates all the people, tools, and environments in your entire data analytics organization – everything from orchestration, testing, and monitoring to development and deployment. You’ve already got the tools you need. Our platform automatically orchestrates your end-to-end multi-tool, multi-environment pipelines – from data access to value delivery. Catch embarrassing and costly errors before they reach the end-user by adding any number of automated tests at every node in your development and production pipelines. Spin-up repeatable work environments in minutes to enable teams to make changes and experiment – without breaking production. Fearlessly deploy new features into production with the push of a button. Free your teams from tedious, manual work that impedes innovation.

Naveego is a software company and offers a software title called Naveego. Naveego offers a free version. Naveego is business intelligence software, and includes features such as dashboard, data analysis, and predictive analytics. With regards to system requirements, Naveego is available as SaaS software. Costs start at $99.00/month. Some alternative products to Naveego include MicroStrategy, Algomus, and SaasabiPro.

Composable Analytics is a software organization based in the United States that offers a piece of software called Composable DataOps Platform. Composable DataOps Platform offers online, business hours, and 24/7 live support. Composable DataOps Platform features training via documentation, webinars, live online, and in person sessions. The Composable DataOps Platform software suite is SaaS, and Windows software. Composable DataOps Platform is business intelligence software, and includes features such as ad hoc reports, benchmarking, budgeting & forecasting, dashboard, data analysis, key performance indicators, OLAP, performance metrics, predictive analytics, profitability analysis, strategic planning, trend / problem indicators, and visual analytics. Some competitor software products to Composable DataOps Platform include SaasabiPro, ElegantJ BI, and DataCycle Reporting.

Saturam is a software business formed in 2014 in the United States that publishes a software suite called Piperr. Piperr includes training via documentation, live online, and in person sessions. The Piperr product is SaaS software. Piperr includes online, and business hours support. Piperr is data management software, and includes features such as customer data, data analysis, data capture, data integration, data migration, data quality control, data security, information governance, master data management, and match & merge. Alternative competitor software options to Piperr include Panoply, Lotame, and Clareti.