Customers
Highlights
The average time code changes take from their first commit to when they reach production
The number of times code is deployed to production over a period (day, week, month)
The average time a team takes to restore service or resolve a bug from the time it’s logged into the system
The percentage of code changes leading to a failure in production and requiring remediation steps such as hotfixes and rollbacks
Recently, DORA has introduced a new metric for measuring operational performance as Reliability. It is an aggregated metric based on availability, latency, performance, and scalability parameters.
Advantages
More frequent code deployments
Faster lead time between committing & deploying
Lower change failure rate
Faster recovery from incidents
Gathr Optics
When asked about their DORA metrics implementation & success, here’s how most organizations respond.
For your reference, here’s how DORA categorized organizations as high*, medium, and low performers in its Accelerate, State of DevOps 2022 report.
Irrespective of whether you are getting started with DORA metrics or unsure about the next steps to be an elite performer,Gathr can help you make the most of DORA metrics.
White Paper
Solution Details
Boost your DevOps health and performance with timely optimization.
Cross-tool data correlation, trend-analysis and delivery flow assessment is difficult.
Manual data collection from multiple disparate tools for project management, SCM, CI/CD, ticketing, etc.
Most tools do not allow to implement custom metrics, ormetrics or extend the scope beyond DORA.
Use out-of-the-box connectors to unify data across tools and calculate DORA DevOps metrics.
Use pre-built apps and templates to set up your DORA dashboard and visualize DORA metrics.
Track the four key DORA metrics - Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Time to Restore Service.
Define your own metrics, beyond DORA, to track DevOps progress and make informed decisions.
Seamlessly trace issues across the DevOps lifecycle to identify bottlenecks and troubleshoot issues.
Enable faster feedback loops to continuously improve user experience.
Integrations
Expert Opinion
Gathr has the stamp of approval from leading analysts and market experts.
Gathr is a unified data platform that offers capabilities for ingestion, integration/ETL, streaming analytics, and machine learning. It offers strengths in usability, data connectors, tools, and extensibility.
The platform offers event stream processing capabilities.
Best big data analytics product or technology for real-time analytics.
Enterprises that need a unified data platform leveraging popular open source, big data technologies, accessible to business as well as technical users, must evaluate Gathr.
Gathr offers a wide range of solutions. It combines the strengths of open source with the reliability and support of an enterprise solution, in the cloud, and at scale, while also offering significant ease of use, integration, and SaaS capabilities among other things.
MEET GATHR
Why Gathr
When it comes to data processing, data analysis, and data management, there are many no-code tools; however, their capabilities only address fragments of the data journey, and cannot deal with the complexities of data at scale. On the other hand, there are tools that support data at scale, but they are often complex, demand a steep learning curve, and require significant coding efforts. Gathr stands alone as the only platform that supports no-code application development for data at scale.
Say goodbye to the challenges of managing multiple tools and product suites. Gathr unifies data integration, data quality, machine learning, action-based visualization, and process automation into a seamless, all-in-one platform. A unified user experience allows you to effortlessly stitch end-to-end ‘data to outcome’ business apps across these capabilities. Moreover, a host of ready-to-use business apps for DevOps, FinOps, CloudOps, SecOps, and more, are available out of the box.
Gathr offers enterprise-grade ML and MLOps capabilities such as drag-and-drop ML, model training and tuning, drift detection, model management, and more. The platform streamlines the entire ML lifecycle for teams to either build or bring in their own model and operationalize the models quickly, at scale. Seamlessly use ML in-line within your pipelines and apps to improve data quality and power advanced analytics. Moreover, several out-of-the-box apps come with built-in ML capabilities for anomaly detection, predictions, recommendations, etc.
Gathr stands at the forefront of streaming analytics, enabling seamless processing, analysis, and instant action on streaming data. With unmatched scalability, integration with diverse streaming sources, and robust complex event processing, Gathr sets the standard. Low-latency data transformation, ML integration, alerts, and visualization tools, make it the go-to solution for real-time enterprise use cases. Year after year recognition by Gartner and Forrester reaffirms Gathr's leadership in this space.
Teams with varying skills can effortlessly build, deploy, and manage data pipelines and applications in minutes with Gathr's intuitive self-service drag-and-drop UI. Without the code-level complexities and lesser maintenance hassles with point-and-click troubleshooting, Gathr significantly boosts your teams' productivity. With over 250 connectors, 200 transformations, and 100 ML algorithms, available out of the box, Gathr turbocharges your application development. Plus, our library of 100+ ready-to-use business apps propels your data-driven journey into overdrive.
Break silos and foster real-time collaboration between data stewards, data engineers, data scientists, DevOps engineers, business analysts, and business users. Not only Gathr ensures smooth handoff between data stewards and data engineering teams, but also streamlines version control, movement of pipelines from dev to prod, end-to-end monitoring, debugging, and more to simplify DevOps. Though the platform is designed for unhindered collaboration and productivity, its role-based access control, encryption, and other enterprise-grade security features ensure data integrity and security at all times.
Simplify and speed up pipeline creation with no-code application development, and features like auto schema detection, auto pipeline inspection, auto data validation, and more. Employ fully automated data pipelines for ongoing database replication, data lake hydration, data cleansing, ML model tuning, etc. Gathr extends its automation power to your business processes, automating workflows, repetitive tasks and actions - freeing your team from mundane routines.
While Gathr is built over an open architecture, it offers the quality, performance, stability, reliability, security, and support that enterprises require for their mission-critical operations. It means you get the power of the community with all its upgrades without the hassle of going through numerous forums to find answers for any technical issue. At the same time, Gathr's patented extensibility allows you to reuse pre-built and custom components across use cases and quickly extend your solutions. With these capabilities, you can ensure your enterprise remains nimble and future ready.
Gathr supports key functionalities such as portability, interoperability, and platform-independency. With Gathr you can build applications once and deploy them on any other cloud in the future. No more cloud vendor lock-ins! You can easily move to a different cloud vendor in the future without experiencing issues such as application downtime, high costs, or technical incompatibilities.
Gathr offers more cost advantages than any other solution in its class. For enterprise users with On-Prem/VPC deployments, it costs less than the TCO of a skilled engineer. With its SaaS plans, you can create apps and experiment at no cost and pay only when you execute the app. You can get started quickly with the forever-free plan. As you grow and scale, enjoy the flexibility of pay-as-you-go pricing, with as little as $0.25/credit, that too after utilization of free credits. Moreover, you get 30% additional cost savings with the option to bring your own cloud (BYOC).
When it comes to data processing, data analysis, and data management, there are many no-code tools; however, their capabilities only address fragments of the data journey, and cannot deal with the complexities of data at scale. On the other hand, there are tools that support data at scale, but they are often complex, demand a steep learning curve, and require significant coding efforts. Gathr stands alone as the only platform that supports no-code application development for data at scale.
Say goodbye to the challenges of managing multiple tools and product suites. Gathr unifies data integration, data quality, machine learning, action-based visualization, and process automation into a seamless, all-in-one platform. A unified user experience allows you to effortlessly stitch end-to-end ‘data to outcome’ business apps across these capabilities. Moreover, a host of ready-to-use business apps for DevOps, FinOps, CloudOps, SecOps, and more, are available out of the box.
Gathr offers enterprise-grade ML and MLOps capabilities such as drag-and-drop ML, model training and tuning, drift detection, model management, and more. The platform streamlines the entire ML lifecycle for teams to either build or bring in their own model and operationalize the models quickly, at scale. Seamlessly use ML in-line within your pipelines and apps to improve data quality and power advanced analytics. Moreover, several out-of-the-box apps come with built-in ML capabilities for anomaly detection, predictions, recommendations, etc.
Gathr stands at the forefront of streaming analytics, enabling seamless processing, analysis, and instant action on streaming data. With unmatched scalability, integration with diverse streaming sources, and robust complex event processing, Gathr sets the standard. Low-latency data transformation, ML integration, alerts, and visualization tools, make it the go-to solution for real-time enterprise use cases. Year after year recognition by Gartner and Forrester reaffirms Gathr's leadership in this space.
Teams with varying skills can effortlessly build, deploy, and manage data pipelines and applications in minutes with Gathr's intuitive self-service drag-and-drop UI. Without the code-level complexities and lesser maintenance hassles with point-and-click troubleshooting, Gathr significantly boosts your teams' productivity. With over 250 connectors, 200 transformations, and 100 ML algorithms, available out of the box, Gathr turbocharges your application development. Plus, our library of 100+ ready-to-use business apps propels your data-driven journey into overdrive.
Break silos and foster real-time collaboration between data stewards, data engineers, data scientists, DevOps engineers, business analysts, and business users. Not only Gathr ensures smooth handoff between data stewards and data engineering teams, but also streamlines version control, movement of pipelines from dev to prod, end-to-end monitoring, debugging, and more to simplify DevOps. Though the platform is designed for unhindered collaboration and productivity, its role-based access control, encryption, and other enterprise-grade security features ensure data integrity and security at all times.
Simplify and speed up pipeline creation with no-code application development, and features like auto schema detection, auto pipeline inspection, auto data validation, and more. Employ fully automated data pipelines for ongoing database replication, data lake hydration, data cleansing, ML model tuning, etc. Gathr extends its automation power to your business processes, automating workflows, repetitive tasks and actions - freeing your team from mundane routines.
While Gathr is built over an open architecture, it offers the quality, performance, stability, reliability, security, and support that enterprises require for their mission-critical operations. It means you get the power of the community with all its upgrades without the hassle of going through numerous forums to find answers for any technical issue. At the same time, Gathr’s patented extensibility allows you to reuse pre-built and custom components across use cases and quickly extend your solutions. With these capabilities, you can ensure your enterprise remains nimble and future ready.
Gathr supports key functionalities such as portability, interoperability, and platform-independency. With Gathr you can build applications once and deploy them on any other cloud in the future. No more cloud vendor lock-ins! You can easily move to a different cloud vendor in the future without experiencing issues such as application downtime, high costs, or technical incompatibilities.
Gathr offers more cost advantages than any other solution in its class. For enterprise users with On-Prem/VPC deployments, it costs less than the TCO of a skilled engineer. With its SaaS plans, you can create apps and experiment at no cost and pay only when you execute the app. You can get started quickly with the forever-free plan. As you grow and scale, enjoy the flexibility of pay-as-you-go pricing, with as little as $0.25/credit, that too after utilization of free credits. Moreover, you get 30% additional cost savings with the option to bring your own cloud (BYOC).
FAQS
Data integration 
Machine 
Generative AI
Action 
Workflow & business process automation
Business