Product Listings
DataDowntime is a technology-based company tailored to address the main business issue of data loss and system downtime. Residing on the frontier of the IT industry, DataDowntime offers innovative solutions to prevent and mitigate the damaging effects of unanticipated data processing interruptions. By employing sophisticated technologies, they help businesses to minimize the impact of unplanned outages, ensuring a smooth and continuous operation. The company's key products include a wide range of data recovery tools and system continuity solutions, which play a critical role in various sectors, from IT to logistics, and from healthcare to finance.
Pantomath is a data pipeline observability and traceability platform for automating data operations. It continuously monitors datasets and jobs across the enterprise data ecosystem. By creating automated cross-platform technical pipeline lineage, it provides context to complex data pipelines. Whether it's data quality and data at rest incidents or operational data in motion incidents, the ML-driven platform allows users to detect data issues in real-time, preventing business impact. End-to-end lineage, aggregated logs, and automated root cause-analysis streamline troubleshooting, reduce downtime, and prevent poor decisions by ensuring reliable data. Integrating seamlessly with a wide range of connectors, Pantomath delivers immediate value with pre-configured monitors and machine learning frameworks.
Bigeye is the data observability platform for large enterprises. Bigeye Data Observability strengthens data reliability by empowering data teams to quickly monitor, identify and resolve incidents across their entire enterprise data stack, including modern, legacy and hybrid environments. Our data observability platform is powered by cross-source column-level lineage that enables the automation of core observability workflows, helping data teams to quickly identify data incident impact and find root cause. Leading data driven enterprises use Bigeye to improve data trust and ensure the data powering their business stays reliable by default.
SYNQ is a data observability platform that helps modern data teams define, monitor, and manage their data products. It brings together ownership, testing, and incident workflows so teams can stay ahead of issues, reduce data downtime, and deliver trusted data faster.
With SYNQ, every critical data product has clear ownership and real-time visibility into its health. When something breaks, the right people are alerted—with the context they need to understand and resolve the issue quickly.
At the center of SYNQ is Scout, your autonomous, always-on data quality agent. Scout proactively monitors data products, recommends what and where to test, does root-cause analysis and fixes issues. It connects lineage, issue history, and contextual data to help teams fix problems faster.
Telmai is an AI-driven data observability platform that helps build self-reliant data teams with automated data quality monitoring. Using advanced AI algorithms, it continuously validates data at scale, detecting inaccuracies and inconsistencies in real time. Telmai proactively detects and investigates anomalies in structured and semi-structured data sources without sampling or any pre-processing required. It enables orchestrating data quality workflows, ensuring a steady stream of reliable data to power AI workloads—all without adding complexity to your existing data infrastructure. Leveraging its open architecture, Telmai can give teams complete visibility and control over their data health by integrating it into your existing stack, including data warehouses, delta lakes, streaming sources, messages queues, APIs, data lakes, and cloud data storage systems.
IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.
Sifflet functions as a modern data observability platform designed to assist enterprise organizations in addressing data challenges and improving the overall data experience for stakeholders. By using Sifflet, organizations can efficiently organize data within their stack, making it easily accessible for business consumers while ensuring the timeliness and reliability of consumed data.
The platform serves as a comprehensive end-to-end solution for the modern data stack, featuring data quality monitoring, metadata management, and a data catalog with lineage capabilities. Whether data is in transit or at rest, data practitioners can identify data quality anomalies, pinpoint root causes, and assess business impact.
Sifflet provides a robust feature set, including over 50 quality checks, extensive column-level lineage, and more so that companies can gain control of their and extract the most value from it.
Apica offers a unified platform to remove the complexity and cost associated with data management. You collect, control, store, and observe your data and can quickly identify and resolve performance issues before they impact the end user. Apica Ascent swiftly analyzes telemetry data in real time, enabling prompt issue resolution, while automated root cause analysis, powered by machine learning, streamlines troubleshooting in complex distributed systems. The platform simplifies data collection by automating and managing agents through its Fleet tool. Its Flow tool simplifies and optimizes pipeline control with AI and ML to help you quickly understand complex workflows. Its Store allows you to never run out of storage space while you index and store machine data centrally on one platform, reduce costs, and remediate faster. Observe offers modern observability data management, helping you with MELT data, effortless dashboarding, and seamless integration of synthetic and real data.
Astronomer is the company behind Astro, a unified DataOps platform powered by Apache Airflow. Astro enables data teams to build, run, observe, and manage mission-critical data pipelines for data-, analytics-, and AI-driven applications. It supports the development of reliable data products by enabling workflow orchestration, observability, and automation. With built-in data observability features such as logging, metrics, and lineage tracking, Astronomer helps teams monitor and troubleshoot workflows in production. Organizations across industries use Astronomer to operationalize data across cloud, hybrid, and on-premises environments.
Greptime is primarily focused on offering products and solutions for time series databases, targeting IoT and Observability scenarios. The company is capable of analyzing substantial observability data from edge to cloud in real time. This process helps enterprises to efficiently obtain crucial insights. Among its products, GreptimeDB, an open-source time series database written in Rust, stands out. It is specifically designed for remarkable speed and performance, serving as a comprehensive data storage and processing engine for IoT and Observability applications. Another product, GreptimeCloud, established on GreptimeDB, functions as a fully managed Database as a Service (DBaaS) solution, ensuring minimal configuration, high scalability, and faster time to value. Lastly, the Edge-Cloud Integrated solution combines multimodal edge databases with GreptimeDB for a comprehensive approach to IoT edge scenarios. This solution aims to curtail traffic, computation, and storage costs whilst elevating data performance and business insight.
Informatica is a firm specializing in Enterprise Cloud Data Management which aims to allow businesses to fully utilize their most significant assets. Inventing a fresh category of software, the Informatica Intelligent Data Management Cloud (IDMC), the firm utilizes AI to manage data across multi-cloud, hybrid systems. This innovation offers modern, advanced business strategies by democratizing data. With a global reach, the company is focused on driving digital transformation powered by data. The firm's tagline is, 'Where data comes to life'.
Integrate.io operates as an end-to-end data platform provider. The primary problem it solves is simplifying data management. Its services include ETL (Extract, Transform, Load) and Reverse ETL, ELT (Extract, Load, Transform) and CDC (Change Data Capture), API Generation, and Observability, which enable efficient data transformation and management. These capabilities allow conversion of a traditional data warehouse into a comprehensive data platform, thus facilitating seamless data journey evolution.
Metaplane is a company that offers an observability platform primarily aimed at resolving issues in data processing. This tool helps data teams identify problems such as dysfunctional dashboards before they become a significant hindrance. It works by continuously scrutinizing different stages of modern data stacks, from warehouses to BI dashboards. Metaplane identifies normal patterns such as lineage, volumes, distributions, and freshness and promptly alerts the relevant team when abnormalities arise. Focusing on saving engineering time and fostering trust, Metaplane is a product of the combined efforts of alums from notable institutions and technology enterprises.
Precisely is a worldwide company that specializes in data integrity. It offers services that enhance the accuracy, consistency, and context of data. The company's core focus is a range of products including data integration, data quality, data governance, location intelligence, and data enrichment. These products are designed to aid in business decisions to yield improved results.
TikeanDQ is a Data Quality solution that concentrates on the needs of business users. This cloud technology provides an accessible method to handle data throughout an ecosystem and validate its integrity in line with various business demands. The solution is structured to be fast and user-friendly, making it broadly adaptable. Regardless of users' roles, whether in Business, IT, or Data management, it presents required views and trends for any data needed. TikeanDQ aids in establishing a data quality framework for an organization, ensuring data accuracy and accessibility.
Trackingplan is an automated tool that oversees and documents all data collected for analytics, marketing, or sales. It provides data governance and observability to ensure that data tracking procedures align with initial plans and only appropriate data is collected. This software can be installed swiftly and requires only a single script in frontends with a tag manager. It retrieves information in real-time from web or mobile apps that are sent to third-party platforms. Essential features of Trackingplan include an always current documentation and data dictionary, alerts for inconsistencies in the schema of events, properties, user attributes, or UTM params, and traffic anomaly detection for each event. The software is employed by data-intensive teams requiring no technical expertise for setup or use and observes all forms of customer data, including custom collectors.