Research alternative solutions to Kensu on G2, with real user reviews on competing tools. Data Observability Software is a widely used technology, and many people are seeking high quality, quick software solutions with ai text generation. Other important factors to consider when researching alternatives to Kensu include reliability and ease of use. The best overall Kensu alternative is Monte Carlo. Other similar apps like Kensu are Mezmo, Salesforce Data 360 (formerly Data Cloud), Integrate.io, and FusionReactor APM. Kensu alternatives can be found in Data Observability Software but may also be in ETL Tools or Log Analysis Software.
Monte Carlo is the first end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.
An easy log management system
Salesforce Data Cloud unlocks the full value of your data across the enterprise, powering your Customer 360 apps, Agentforce, and amplifying your existing data lake and warehouse investments to activate real-time insights and intelligent action.
FusionReactor is an Application Performance Monitor for JAVA. No other monitor will help you get to the root of issues faster and make apps more resilient.
Simpli.fi offers an omnichannel programmatic solution including mobile, video, display, native, OTT/CTV, and social to help streamline your programmatic advertising.
Keboola is a cloud based data platform that helps clients combine, enhance and publish crucial information for their internal analytics projects and data products.
Astronomer is a data engineering platform designed to collect, process and unifiy enterprise data, so users can get straight to analytics, data science and insights.
MediaMath is a digital marketing technology company dedicated to reengineering modern marketing to offer transformative results based on tangible goals.
Metaplane is the Datadog for data teams: a data observability tool that gives data engineers visibility into the quality and performance of their entire data stack.