Top Rated Syren Data Quality Application Alternatives
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There are not enough reviews of Syren Data Quality Application for G2 to provide buying insight. Below are some alternatives with more reviews:
1
Monte Carlo
4.4
(356)
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.
2
Mezmo
4.6
(223)
An easy log management system
3
Integrate.io
4.3
(205)
Integrate.io launched in 2022 when Xplenty, FlyData, Dreamfactory and Intermix.io were brought together to create the Integrate.io platform. Finally use all of your data to get deep insights that drive your go-to-market success. The Integrate.io platform allows you to quickly unify your data for easy analysis to help lower your CAC, increase your ROAS, and deliver deep customer personalization that drive buying habits.
4
FusionReactor APM
4.8
(169)
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.
5
Metaplane
4.8
(110)
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.
6
Mozart Data
4.6
(68)
Mozart Data provides an out-of-the-box modern data stack at a fraction of the cost. Without any coding, you can spin up a data stack in hours. Easily aggregate, organize, clean, and push your data into spreadsheets or your favorite business intelligence tool. You'll spend less time wrangling your data and more time generating insights.
7
IBM Databand
4.4
(67)
Databand is an observability platform for data engineering teams.
Data engineering teams are responsible for managing a wide suite of powerful tools, but lack the utilities they need to make sure their ops are running properly. Databand fills this gap with a solution that enables teams to gain a global view of their data flows, make sure pipelines complete successfully, and keep tabs on resource consumption and costs. Databand fits natively in the modern data stack, plugging seamlessly into tools like Apache Airflow, Spark, Kubernetes and various ML offerings from the major cloud providers.
8
Soda
4.4
(55)
Soda makes it easy to test data quality early and often in development (Git) and production pipelines. Soda catches problems far upstream, before they wreak havoc on your business. Use Soda to: add data quality tests to your CI/CD pipeline to avoid merging bad-quality data into production; prevent downstream issues by improving your pipeline with integrated data quality tests; and, unite data producers and data consumers to align and define data quality expectations with a human-readable and -writable checks language. You can easily integrate Soda into your data stack, leveraging the Python and REST APIs Teams.
9
Secoda
4.5
(48)
Secoda is the command center for your data. It consolidates your data catalog, governance, and observability tools to save time and money. By integrating with all data sources and dashboards, data teams get a single source of truth to deliver reliable data with less effort and more adoption. It is the fastest and easiest way for any data or business stakeholder to turn their insights into action.
10
Anomalo
4.4
(41)
Anomalo connects to your data warehouse and immediately begins monitoring your data.
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