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What is Soda?

Soda assists in the management of data operations by detecting problems and notifying the appropriate personnel. With its automated and self-serve monitoring features, no data or individual is overlooked. By offering comprehensive observability across your data workloads, you can proactively address potential issues. Furthermore, data teams can identify problems that may escape automation's notice. The self-service functionalities ensure extensive coverage is maintained for data monitoring needs. Timely alerts are sent to the relevant individuals, enabling business teams to diagnose, prioritize, and resolve data challenges effectively. Importantly, your data remains securely within your private cloud, as Soda monitors it at the source while only storing metadata within your cloud environment. This way, Soda provides a robust solution for ensuring the integrity and reliability of your data operations.

What is SYNQ?

SYNQ is an all-encompassing platform for data observability, aimed at empowering modern data teams to effectively define, monitor, and manage their data products. By incorporating elements of ownership dynamics, testing methodologies, and incident management processes, SYNQ allows teams to proactively tackle potential challenges, reduce data downtime, and accelerate the provision of trustworthy data. Each critical data product within SYNQ is allocated a distinct owner and provides up-to-the-minute insights into its operational status, ensuring that when issues arise, the right personnel are alerted with sufficient context to swiftly understand and resolve the problem at hand. At the core of SYNQ is Scout, an ever-vigilant autonomous agent dedicated to data quality. Scout not only keeps a watchful eye on data products but also suggests testing methodologies, conducts root cause analyses, and efficiently addresses various issues. By connecting data lineage, historical challenges, and pertinent context, Scout equips teams with the capability to respond to problems more rapidly. In addition, SYNQ integrates flawlessly with pre-existing tools, gaining the confidence of notable scale-ups and enterprises such as VOI, Avios, Aiven, and Ebury, thereby reinforcing its standing in the market. This effective integration allows teams to utilize SYNQ without interrupting their current workflows, ultimately optimizing their operational productivity and effectiveness. As a result, SYNQ stands out as a pivotal resource for data teams striving for excellence in data management.

Media

Media

No images available

Integrations Supported

1Sol
Alation
Amazon Redshift
Apache Airflow
Azure Synapse Analytics
Collibra
DataOps.live
Databricks Data Intelligence Platform
Google Cloud BigQuery
Kestra
Metaphor
STRM
Slack
Snowflake

Integrations Supported

1Sol
Alation
Amazon Redshift
Apache Airflow
Azure Synapse Analytics
Collibra
DataOps.live
Databricks Data Intelligence Platform
Google Cloud BigQuery
Kestra
Metaphor
STRM
Slack
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Soda

Date Founded

2018

Company Location

Belgium

Company Website

www.soda.io

Company Facts

Organization Name

SYNQ

Date Founded

2022

Company Location

United Kingdom

Company Website

synq.io

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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