Best Data as a Service (DaaS) Software for Amazon Redshift

Compare the Top Data as a Service (DaaS) Software that integrates with Amazon Redshift as of December 2025

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This a list of Data as a Service (DaaS) software that integrates with Amazon Redshift. Use the filters on the left to add additional filters for products that have integrations with Amazon Redshift. View the products that work with Amazon Redshift in the table below.

What is Data as a Service (DaaS) Software for Amazon Redshift?

Data as a Service (DaaS) software provides businesses with cloud-based access to structured and unstructured data, enabling them to utilize and analyze information without needing to maintain their own data infrastructure. It allows users to retrieve, integrate, and manipulate real-time data from multiple sources, often through APIs, for various applications like analytics, reporting, and decision-making. DaaS platforms ensure data accuracy, quality, and relevance by offering services like data cleansing and enrichment. This on-demand model makes data more accessible and scalable, reducing the cost and complexity of managing in-house data systems. Ultimately, DaaS empowers organizations to leverage data-driven insights efficiently and flexibly. Compare and read user reviews of the best Data as a Service (DaaS) software for Amazon Redshift currently available using the table below. This list is updated regularly.

1

CloudTDMS

Cloud Innovation Partners

CloudTDMS solution is a No-Code platform having all necessary functionalities required for Realistic Data Generation. CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ... CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling. Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments. CloudTDMS solves the following challenges : -Regulatory Compliance

Starting Price: Starter Plan : Always free

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2

Monda

Monda

Monda is the go-to data monetization platform, used by hundreds of companies across the world to start and scale their data businesses. Monda empowers you to create data products, publish a data storefront, integrate with data marketplaces, and manage data demand, data monetization made simple. Monda outperforms other data monetization platforms in key areas that matter to our customers. The easiest way to build a data-as-a-service business. Anyone can use Monda, no tech skills required. Everything you need to start and grow your data business. Work with international data monetization experts. Monda provides every feature needed to market and monetize data securely, all in one platform. Convert your website visitors into inbound data leads. Publish on the biggest data sales channels instantly. Centralize your demand generation. Monitor performance, competition, and trends. Create beautiful data products quickly and easily.

Starting Price: $6K / year

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3

DataTrust

RightData

DataTrust is built to accelerate test cycles and reduce the cost of delivery by enabling continuous integration and continuous deployment (CI/CD) of data. It’s everything you need for data observability, data validation, and data reconciliation at a massive scale, code-free, and easy to use. Perform comparisons, and validations, and do reconciliation with re-usable scenarios. Automate the testing process and get alerted when issues arise. Interactive executive reports with quality dimension insights. Personalized drill-down reports with filters. Compare row counts at the schema level for multiple tables. Perform checksum data comparisons for multiple tables. Rapid generation of business rules using ML. Flexibility to accept, modify, or discard rules as needed. Reconciling data across multiple sources. DataTrust solutions offers the full set of applications to analyze source and target datasets.

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4

Appen

Appen

The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models. High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.

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5

Datazoom

Datazoom

Improving the experience, efficiency, and profitability of streaming video requires data. Datazoom enables video publishers to better operate distributed architectures through centralizing, standardizing, and integrating data in real-time to create a more powerful data pipeline and improve observability, adaptability, and optimization solutions. Datazoom is a video data platform that continually gathers data from endpoints, like a CDN or a video player, through an ecosystem of collectors. Once the data is gathered, it is normalized using standardized data definitions. This data is then sent through available connectors to analytics platforms like Google BigQuery, Google Analytics, and Splunk and can be visualized in tools such as Looker and Superset. Datazoom is your key to a more effective and efficient data pipeline. Get the data you need in real-time. Don’t wait for your data when you need to resolve an issue immediately.

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