Top 10 SYNQ Alternatives & Competitors

Top 10 Alternatives to SYNQ Recently Reviewed By G2 Community

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Monte Carlo
By Monte Carlo
4.3/5
(513)
Product Description
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.
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Reviewers say compared to SYNQ, Monte Carlo is:
Slower to reach roi
Categories in common with SYNQ:
Data Observability

Mezmo
By Mezmo
4.6/5
(224)
Product Description
An easy log management system
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Reviewers say compared to SYNQ, Mezmo is:
Slower to reach roi
Easier to set up
More usable
Categories in common with SYNQ:
Data Observability

Integrate.io
By Integrate.io
4.3/5
(211)
Product Description
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.
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Reviewers say compared to SYNQ, Integrate.io is:
Slower to reach roi
Categories in common with SYNQ:
Data Observability

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Astro by Astronomer
By Astronomer
4.5/5
(136)
Product Description
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.
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Reviewers say compared to SYNQ, Astro by Astronomer is:
Slower to reach roi
More usable
Categories in common with SYNQ:
Data Observability

Metaplane
By Datadog
4.8/5
(116)
Product Description
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.
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Reviewers say compared to SYNQ, Metaplane is:
Slower to reach roi
Easier to set up
More usable
Categories in common with SYNQ:
Data Observability

Mozart Data
By Mozart Data
4.6/5
(68)
Product Description
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.
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Reviewers say compared to SYNQ, Mozart Data is:
Slower to reach roi
More usable
Better at meeting requirements
Categories in common with SYNQ:
Data Observability

IBM Databand
By IBM
4.3/5
(66)
Product Description
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.
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Categories in common with SYNQ:
Data Observability

Secoda
By Secoda
4.5/5
(55)
Product Description
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.
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Reviewers say compared to SYNQ, Secoda is:
Slower to reach roi
Categories in common with SYNQ:
Data Observability

Soda
By Soda
4.4/5
(55)
Product Description
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.
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Reviewers say compared to SYNQ, Soda is:
Slower to reach roi
Categories in common with SYNQ:
Data Observability