Product Listings
Databricks Data Intelligence Platform is a software designed to unify data, analytics, and artificial intelligence workloads under a single platform. It enables organizations to store, manage, and analyze structured and unstructured data at scale while supporting collaborative data engineering, machine learning, and business intelligence projects. The software provides tools for data warehousing, data lakehouse integration, automated data workflows, and governance capabilities, facilitating secure sharing and discovery of data assets. By streamlining the creation of analytics solutions, Databricks Data Intelligence Platform aids businesses in deriving insights, building machine learning models, and operationalizing data science processes to address complex analytical tasks and inform decision-making.
Unravel is a software designed to optimize, monitor, and manage data operations across modern data stack environments, including platforms such as Spark, Hadoop, Databricks, and Snowflake. The software provides features such as application performance monitoring, resource usage analytics, automated troubleshooting, and predictive insights into data pipeline behavior. Unravel enables identification of inefficiencies and bottlenecks within data workflows and offers recommendations for tuning and cost management. The software addresses business problems related to resource utilization, performance optimization, and ensuring reliable execution of data workloads in hybrid, multicloud, or on-premises environments.
Astro is a software designed to orchestrate, monitor, and manage data pipelines built with Apache Airflow. The software provides workflow automation capabilities, enabling organizations to schedule, track, and administer workflows across various cloud and on-premises environments. Astro includes features for task scheduling, pipeline observability, alerting, and logging to assist teams with data engineering and data integration requirements. The software supports version control and scaling of workflow operations, addressing the business need for reliable and repeatable data processing, automation of complex tasks, and operational efficiency in data-driven applications.
AnalyticsCreator is a data warehouse automation software designed to facilitate the creation, management, and documentation of data warehouses and business intelligence solutions. The software supports data modeling, ETL development, and automated documentation, allowing users to efficiently design and implement data integration processes. It offers features such as automated code generation, metadata management, version control, and the ability to connect with various data sources and platforms. AnalyticsCreator addresses business challenges related to manual data warehouse development and maintenance by streamlining workflows and reducing repetitive tasks, with a focus on delivering consistent data infrastructure to support reporting and analytics needs.
DataOpslive platform is a software designed to facilitate automated orchestration, deployment, and management of data pipelines across cloud environments. It offers features that include version control, workflow automation, and integration with popular data warehouses and analytics tools. The software enables organizations to streamline and standardize data engineering processes, reduce manual intervention, and improve data quality and governance. By providing endtoend lifecycle management, testing capabilities, and collaboration features, DataOpslive platform addresses challenges related to scaling data operations, ensuring compliance, and accelerating data delivery for analytics and business intelligence initiatives.
IBM Databand provides continuous data observability to ensure optimum health and performance of data at rest and in motion. It is designed for proactively monitoring data pipelines, detecting anomaly, alerting on data incidents and remediating issues.
Organizations can achieve proactive data management through real-time visibility into their data landscape and pipelines, facilitating identification of potential issues before they develop into critical failures. The solution provides insights into performance metrics, empowering teams to proactively optimize workflows and achieve improved results. IBM Databand accelerates root cause analysis by offering comprehensive logs & traces, enabling swift identification of the precise origin of problems and leading to faster resolutions. Its design ensures holistic observability by seamlessly integrating with various orchestration, data integration & workflow automation tools, consolidating all critical monitoring data into a unified platform.
SuprSend is a software designed to facilitate multi-channel notification management for businesses. The software enables users to centralize and automate the delivery, tracking, and formatting of notifications across channels such as email, SMS, push notifications, and in-app messaging. SuprSend offers features including workflow orchestration, user targeting, template management, and analytics to monitor notification performance. By consolidating notification systems, the software addresses the challenge of fragmented communication, thus streamlining and optimizing how operating teams engage with their users through various platforms.
IBM watsonx.data intelligence helps organizations curate, manage, and utilize data by leveraging the power of AI to simplify data delivery across hybrid ecosystems. IBM watsonx.data intelligence is a comprehensive solution that integrates capabilities such as data governance (formerly IBM Knowledge Catalog), data lineage (formerly IBM Manta Data Lineage), data sharing, and data quality management. It empowers organizations to discover, trust, and access meaningful data, providing consumers with reliable data products. A Demo Library and a Free Trial are available on the product page showcasing product features and use cases.
Apica Observe software provides monitoring and observability features designed to help organizations analyze, detect, and address performance issues across distributed systems and applications. The software aggregates and correlates metrics, logs, and traces from various environments, allowing users to visualize system health and troubleshoot operational problems in real time. Apica Observe software enables tracking of application availability, latency, and infrastructure health, assisting businesses in maintaining uptime and identifying root causes of failures. Through flexible integrations and support for multi-cloud architectures, the software aims to streamline incident investigation and facilitate ongoing operational improvements for IT teams managing complex environments.
HighByte Intelligence Hub is a DataOps software solution purpose-built for industrial data. The Intelligence Hub enables manufacturers to securely connect, model, condition, and flow valuable industrial data to and from IT systems without writing or maintaining code. The software is deployed at the Edge to merge real-time, transactional, and time-series data into a single payload for consuming applications. With the Intelligence Hub, users can speed system integration time, rapidly leverage contextualized data for analytics, AI, and ML applications, and govern data standards across the enterprise. HighByte Intelligence Hub provides the critical data infrastructure for Industry 4.0.
Saagie is a software designed to facilitate the deployment, management, and automation of data analytics and artificial intelligence projects. The software provides a platform that integrates various data processing tools and technologies, enabling organizations to build, schedule, and monitor data workflows in a scalable and secure environment. Saagie supports the orchestration of big data and AI applications across multiple frameworks and programming languages, allowing teams to streamline collaboration and streamline project lifecycle management. The software addresses challenges related to data pipeline development, monitoring, and governance, aiming to simplify operational complexity and improve the efficiency of data-driven initiatives through centralized management and automation features.
Universal Automation Center (UAC) Service Orchestration and Automation Platform (SOAP) solution is designed to centrally manage and orchestrate tasks and processes across hybrid IT environments - from on-prem to the cloud in real-time. UAC automates and orchestrates your IT and business processes, securely manages file transfers, and centralizes the management of complex IT job scheduling and workload automation solutions. With event-driven automation technology, it is now possible to achieve real-time automation across your entire hybrid IT environment.
Ascend Data Automation Cloud is a software platform designed to automate data engineering processes for organizations managing diverse and complex data pipelines. The software features a unified environment for ingesting, transforming, and orchestrating data workflows across both on-premises and cloud infrastructures. By supporting integration with various data sources and services, it allows teams to centralize and streamline data operations while enabling both batch and streaming data processing. The platform emphasizes modular pipeline building, monitoring, and scaling, as well as automated lineage tracking and governance. Ascend Data Automation Cloud addresses business challenges related to manual pipeline management by automating repetitive tasks and promoting efficiency in managing data workflows end-to-end.
Cognite Data Fusion is an industrial software designed to facilitate data integration, contextualization, and management across operational and information technology systems. The software unifies data from disparate sources, including sensors, equipment, and enterprise databases, into a standardized format, enabling scalable analytics and advanced visualizations. Cognite Data Fusion supports use cases such as asset monitoring, predictive maintenance, and process optimization by offering features like data modeling, time series analysis, and application orchestration. The software addresses business problems related to data silos and inefficient workflows by providing engineers and operators with timely access to reliable, structured data, supporting decision making and digital transformation in industrial environments.
Composable DataOps is a software designed to streamline the management, integration, and automation of data workflows within organizations. The software enables users to connect disparate data sources, build and execute automated data pipelines, and manage transformation tasks through a visual interface. It supports advanced data operations, including data ingestion, transformation, analytics, and orchestration. Composable DataOps is utilized to address challenges related to data silos, manual processing, and inefficiencies in data pipeline development. By supporting reusable components and integrated tools, the software assists organizations in increasing data accessibility, governance, and workflow efficiency across complex data environments.
DataKitchen DataOps is a software designed to support DataOps practices by enabling the orchestration, automation, and monitoring of data analytics pipelines. The software focuses on helping organizations streamline the development, deployment, and management of data workflows across multiple environments. It provides tools for testing, error tracking, version control, and automation of complex processes, aiming to reduce manual errors and increase the reliability of data operations. DataKitchen DataOps addresses challenges related to pipeline complexity, compliance, and coordination among data teams by providing visibility and controls over end-to-end workflow processes. It is used to facilitate collaboration and consistency in analytics delivery across different business functions.
Datamates is an AI-powered solution for eliminating cost and accelerating development across your entire data platform. The Datamates system first builds an in-depth understanding of your platform, your data, your policies, and your code. You then deploy pre-configured or custom Datamates (AI Teammates) to manage specific aspects of your platform, such as dynamic Warehouse resizing, query optimization, documentation, or data engineering co-pilot support. Datamates is a proprietary expert model based on an in-depth understanding of current data engineering best practices, trained on the work of some of the most advanced data engineering teams, making best practices available to teams of any size.
IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured, unstructured, and semi-structured data from streaming sources, and reliably delivers trusted data into diverse destinations. Flexible deployment options promote security, cost-effectiveness and performance. With several pre-built connectors, an intuitive no-code/low-code interface, and automatic adaptability to data drifts, StreamSets accelerates data pipeline operationalization. It integrates with IBM’s broader data integration capabilities, enabling reliable pipelines that unify multiple data integration patterns, underpinned by data observability capabilities for continuous data quality monitoring and remediation.
Lumada DataOps portfolio powered by Pentaho delivers customer experiences, creates new insights & lowers cost through an intelligent dataops platform using metadata driven data management. The portfolio accelerates data discovery, onboarding & tiering, data pipeline orchestration & analytics. It improves data quality & trust, metadata translation into meaningful terms, enables data standardization through glossaries, protects sensitive information, provides self-service capabilities, & end-to-end integration from the source to the analytics driven outcome. Capabilities of Lumada DataOps portfolio include:
*Data Integration & Analytics powered by Pentaho: Delivers an end-to-end data integration & analytics platform for comprehensive data management.
*Data Catalog – Provides trusted data by automating discovery for self-service analytics, compliance, quality, & rationalization across an enterprise-wide data fabric.
*Data Optimizer for Hadoop - Tiers data between HDFS & Object Storage