Enterprises and fast-growing brands that rely on Soda:
Trusted Data Quality for Domain Teams
Soda’s self-serve data quality platform is built to democratize data quality and enable everyone to work with data they can trust. It is a fresh approach that brings everyone closer to data products and analytics that they can trust, from ingestion to consumption.
Define and align data quality checks.
Use data contracts to align on data expectations and easily manage data quality, to ensure that data is, and remains, fit for purpose.
Assign and resolve data quality issues.
Track incidents at the record or dataset level, assign the right people, streamline issue resolution, and quickly resolve incidents.
Quality dashboards for all your datasets.
Dashboards to monitor and manage the health and quality of your data, ensure good test coverage, and meet data quality contracts.
Integrate with the tools in your stack.
Easy and seamless integrations with data sources, data catalogs, collaboration and communication tools, incident management, and more.
A Selection of Our Integrations
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Schedule a demo with our team. We’ll show you Soda in action, and answer your questions.
Why is Soda the alternative to traditional data quality tools?
Traditionally, data quality monitoring has been provided as a part of a metadata management platform, incorporated into tools who offer data governance and data catalogs. In these platforms, data quality is typically built to be managed by a technical audience, users that can read and write programming languages yet may or may not know or understand the data.
For organizations modernizing and scaling their data quality programs, Soda simplifies a traditional and cumbersome process with our self-serve data quality platform. Soda is a best-of-breed solution for data teams building innovative new products using data, recognized as one of the 2021 Gartner® Cool Vendors™ in Data Management. It enables data consumers and data producers to have the support, accountability, and ability to produce, use, and share data.
Feature
Soda
Traditional Data Quality Solutions
Feature
Automated Data Monitoring
Soda
Monitor data quality at scale
Automated monitoring of key data quality metrics
Business rules-enabled and built-in ML models for anomaly detection and schema evolution
Assign the right people at the right time
Investigate and resolve the incidents
Traditional Data Quality Solutions
Largely ML-driven and limited business rule development and implementation
Feature
Self-Serve Data Quality Management
Soda
Role-based for data producers, consumers, and business domain experts
Create reliable, high-quality data products using one language, SodaCL
Empower everyone to define what good data looks like
Traditional Data Quality Solutions
Predominantly managed by technical users with programming languages.
Feature
Data Quality Agreements
Soda
Users can easily define and set data quality expectations
Stipulate the freshness, accuracy, and completeness of data products
Easily collaborate between data domain teams
Track agreements and ensure that data is, and remains, fit-for-purpose
Traditional Data Quality Solutions
Not known to be available
Feature
Open-Source Data Reliability-As-Code
Soda
An open-source framework for data engineers
Quickly get started and scale with data reliability
Easily schedule and run programmatic scans
Check data as-code, from ingestion to transformation to consumption.
Circuit breakers to stop the pipeline and quarantine bad data as early as possible upstream.
Traditional Data Quality Solutions
Not available
Feature
Architecture built for the Cloud
Soda
A secure, infrastructure component to deploy across clouds and on-premises
Ensure best-in-class security
Hosted within your own environment to ensure that no record-level data leaves your premises, private, or public cloud.
Traditional Data Quality Solutions
To some extent, data needs to be moved or leave its secure location.
Feature
Data Quality Solution
Soda
Best of breed, purpose-built
Integrates into your existing data stack
No prerequisites or existing platforms required
Traditional Data Quality Solutions
Not available as an independent tool
Delivered as part of the metadata management platform.
Feature
Total Cost of Ownership
Soda
License-only model
Traditional Data Quality Solutions
Maintenance of the various components
Associated costs to run the software
Feature
Licensing
Soda
Open-source
SaaS, On-premises
Developer License
Free Trial
Traditional Data Quality Solutions
SaaS (partly)
On-premises
Free Trial
This table displays the required features and capabilities that Soda believes organizations need to produce trusted data, and enable domain teams to manage and maintain reliable, high-quality data.
Soda gives us the end-to-end observability we need to be more confident about the data that is feeding our AI and ML powered digital engines.
”
Tiago Andrade
Head of Big Data & AI
Americanas S.A.
“
Soda provides transparency and confidence about the data. This keeps us ahead of the game offering future-proof financial investment services to our clients.
”
Martijn Spaan
Head of Data and Oversight
NN Investment Partners (NN IP)
“
Soda offers a highly intuitive environment where business and technical users can collaborate to tackle their data quality problems and address some of the main impediments of sustaining data quality programs.
”
Jason Medd
“Cool Vendors in Data Management”
Gartner
“
Soda is a key part of our data architecture. It allows teams to align on quality expectations before data products go live.
”
Mario Konschake
Product Lead Data Platform
HelloFresh
“
We have a shared belief in improving end-to-end data issue workflows so that data teams have the power to prioritize and resolve issues across an entire organization.
”
Niels Zeilemaker
CTO
GoDataDriven
“
We need a way to monitor the quality of our data sources: for this purpose we use Soda’s open source testing and monitoring tool to apply tests and metrics directly to operational data sources.
”
Alessandro Lollo
Senior Data Engineer
Cloud Academy
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Schedule a demo with our team. We’ll show you Soda in action, and answer your questions.
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