Synq is a data reliability tool. It can detect errors in the data stack to manage errors and incidents. In addition, you can fix the data errors in one workflow. In addition, it can help operationalize the analytical data, which helps increase the business impact. It can be used as an end-to-end observability tool. That�s because it has an anomaly detection engine to fix them.�
The best thing about Synq is that it complements the dbt tests as there are anomaly monitors. Also, there is SQLMesh available that helps observe the data pipelines for testing and data transformation.
Performance Score
A+
Data Quality
Accurate and actionable data
Interface
Intuitive
AI Technology
- Natural language processing
- Anomaly detection engine
Purpose of Tool
Test the data stack for error identification and operational checks in a single workflow
Compatibility
Web-based interface
Pricing
Book a demo
Who is Using Synq?
- Data Engineers: They can identify and resolve data issues quickly, which improves the data pipeline reliability. Also, they can save data engineers time and effort so they can focus on more strategic tasks. ��
- Data Analysts: They can trust the accuracy and completeness of their data, which leads to more reliable insights. Also, they get timely alerts and insights into data anomalies for informed decisions. ��
- Data Scientists: They can identify data quality issues that could impact model performance. Also, they can track the performance of data science models and alert teams to potential issues.
- Business Analysts: They can identify hidden patterns and anomalies to get valuable insights into business trends and opportunities.
Dbt core & cloud
Analytical data analysis
Quality analysis
SQLMesh
Ownership activation
Data pipelines
Incident management
Error detection
Error resolution
Is Synq Free?
No, this is not a free tool. However, they have not mentioned their pricing on the website. This means you�ve to book the demo on the website to get the pricing information.
Synq Pros & Cons
Easier detection of errors in the data stack.
Multiple data products are available for different industries.
Data analytics to improve business decision-making.
Compliant with GDPR and SOC2 security regulations.
The pricing plan isn�t available to the public.
