Best Data Validation Tools for Cloud

DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world.

QuerySurge leverages AI to automate the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Apps/ERPs with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Hadoop & NoSQL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Projects: Multi-project support - AI: automatically create datas validation tests based on data mappings - Smart Query Wizards: Create tests visually, without writing SQL - Data Quality at Speed: Automate the launch, execution, comparison & see results quickly - Test across 200+ platforms: Data Warehouses, Hadoop & NoSQL lakes, databases, flat files, XML, JSON, BI Reports - DevOps for Data & Continuous Testing: RESTful API with 60+ calls & integration with all mainstream solutions - Data Analytics & Data Intelligence:  Analytics dashboard & reports

Having the correct name is essential to effectively communicating with a customer or lead. Name Validation performs a 40-step check to help your business weed out bogus and inaccurate names and prevent embarrassing personalization mistakes from being sent to customers and prospects. Your brand has a lot riding on getting your customers' and prospects' names right. Accurate names are key to effective personalization and also an important indicator of fraudulent and bogus web form submissions. Name Validation verifies first and last names using a global database of more than 1.4 million first names and 2.75 million last names, correcting common mistakes and flagging garbage before it enters your database. Our real-time name validation and verification service corrects and then tests against a proprietary database containing millions of consumer names to determine an overall quality score. Your business can use this score to block or deny bogus submissions from entering your sales.

Datameer revolutionizes data transformation with a low-code approach, trusted by top global enterprises. Craft, transform, and publish data seamlessly with no code and SQL, simplifying complex data engineering tasks. Empower your data teams to make informed decisions confidently while saving costs and ensuring responsible self-service analytics. Speed up your analytics workflow by transforming datasets to answer ad-hoc questions and support operational dashboards. Empower everyone on your team with our SQL or Drag-and-Drop to transform your data in an intuitive and collaborative workspace. And best of all, everything happens in Snowflake. Datameer is designed and optimized for Snowflake to reduce data movement and increase platform adoption. Some of the problems Datameer solves: - Analytics is not accessible - Drowning in backlog - Long development

AB Handshake offers a game-changing solution for telecom service providers that eliminates fraud on inbound and outbound voice traffic. We validate each call using our advanced system of interaction between operators. This means 100% accuracy and no false positives. Every time a call is set up, the call details are sent to the Call Registry. The validation request arrives at the terminating network before the actual call. Cross-validation of call details from two networks allows detecting any manipulation. Call registries run on simple common use hardware, no additional investment needed. The solution is installed within the operator’s security perimeter and complies with security and personal data processing requirements. Practice occurring when someone gains access to a business's PBX phone system and generates profit from the international calls at the business's expense.

Openprise is a single, no-code platform that lets you automate hundreds of sales and marketing processes to realize the value you were promised from all your RevTech investments. To fix that, you could cobble together dozens of point solutions in an unmaintainable “Frankentecture.” You could punt the problem offshore knowing quality and SLAs suffer with folks that aren’t any more excited about mind-numbing manual tasks than you are. Openprise is a single, no-code platform that combines the best practices, business rules, and data you need to orchestrate hundreds of processes like data cleansing, account scoring, lead routing, attribution, and many more. Using that clean data, Openprise automates all the processes currently done manually, or just poorly, by sales and marketing automation platforms, like lead routing and attribution.

Ataccama reinvents the way data is managed to create value on an enterprise scale. Unifying Data Governance, Data Quality, and Master Data Management into a single, AI-powered fabric across hybrid and Cloud environments, Ataccama gives your business and data teams the ability to innovate with unprecedented speed while maintaining trust, security, and governance of your data.

For the first time, data characteristics like meaning, usage, lineage, alignment to business outcomes and ownership that are repeatedly lost after every project can be captured and retained as tangible knowledge. These vital characteristics can now be reused downstream to advance strategic business initiatives that are dependent on trusted data. Reuse data to deliver your outcomes faster. Capture and release the latent power in your data. Unlock the potential of data in context of your business. Most of your projects require the same insights and understanding into your data, and it’s likely you are consistently reinventing this information. Syniti can deliver this knowledge at a fraction of the cost and with much greater accuracy. Don’t throw away your knowledge. Unlock and reuse insights and knowledge trapped in your data. Preserve knowledge for your future use and reference.

Oracle Cloud Infrastructure (OCI) Data Catalog is a metadata management service that helps data professionals discover data and support data governance. Designed specifically to work well with the Oracle ecosystem, it provides an inventory of assets, a business glossary, and a common metastore for data lakes. OCI Data Catalog is fully managed by Oracle and runs with all the power and scale of Oracle Cloud Infrastructure. Benefit from all of the security, reliability, performance, and scale of Oracle Cloud while using OCI Data Catalog. Using REST APIs and SDKs, developers can integrate OCI Data Catalog’s capabilities in their custom applications. Using a trusted system for managing user identities and access privileges, administrators can control access to data catalog objects and capabilities to manage security requirements. Discover data assets across Oracle data stores on-premises and in the cloud to start gaining real value from data.

WinPure™ MDM is a master data management solution that aligns with your business to achieve a single view of your data with functions and features to help you manage your data. The features are ala-carte from all of the clean & match enterprise edition, repurposed specifically for simple web based data prep, and MDM operations. Data in dozens of different formats, dozens of simple and powerful ways to clean, standardize and to transform data. Industry leading data matching and error-tolerant technologies. Simple and configurable survivorship technology. General benefits include lower cost and faster time to market. Simple to use, minimal training and minimal implementation. Better business outcomes, faster MDM or systems deployment. Faster and more accurate batch loads, simple and accessible data prep tools. Flexible and effective interconnectivity with other internal and external database and systems via API. Faster time to synergies for M&A.

Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear in your data and before anyone else is impacted. Detect, root-cause, and resolve issues quickly – allowing everyone to feel confident in the data driving your business. Connect Anomalo to your Enterprise Data Warehouse and begin monitoring the tables you care about within minutes. Our advanced machine learning will automatically learn the historical structure and patterns of your data, allowing us to alert you to many issues without the need to create rules or set thresholds.‍ You can also fine-tune and direct our monitoring in a couple of clicks via Anomalo’s No Code UI. Detecting an issue is not enough. Anomalo’s alerts offer rich visualizations and statistical summaries of what’s happening to allow you to quickly understand the magnitude and implications of the problem.‍

DataOps ETL Validator is the most comprehensive data validation and ETL testing automation tool. Comprehensive ETL/ELT validation tool to automate the testing of data migration and data warehouse projects with easy-to-use low-code, no-code component-based test creation and drag-and-drop user interface. ETL process involves extracting data from various sources, transforming it to fit operational needs, and loading it into a target database or data warehouse. ETL testing involves verifying the accuracy, integrity, and completeness of data as it moves through the ETL process to ensure it meets business rules and requirements. Automating ETL testing can be achieved using tools that automate data comparison, validation, and transformation tests, significantly speeding up the testing cycle and reducing manual labor. ETL Validator automates ETL testing by providing intuitive interfaces for creating test cases without extensive coding.

Unify Your Data Stack: Experience the first no-code data pipeline platform and power enlightened decision making. Integrate.io is the only complete set of data solutions & connectors for easy building and managing of clean, secure data pipelines. Increase your data team's output with all of the simple, powerful tools & connectors you’ll ever need in one no-code data integration platform. Empower any size team to consistently deliver projects on-time & under budget. We ensure your success by partnering with you to truly understand your needs & desired outcomes. Our only goal is to help you overachieve yours. Integrate.io's Platform includes: -No-Code ETL & Reverse ETL: Drag & drop no-code data pipelines with 220+ out-of-the-box data transformations -Easy ELT & CDC :The Fastest Data Replication On The Market -Automated API Generation: Build Automated, Secure APIs in Minutes - Data Warehouse Monitoring: Finally Understand Your Warehouse Spend - FREE Data Observability: Custom

Build a more connected business, drive growth, and leverage new technologies at scale with Syniti’s data matching solutions. No matter the shape or source of your data, our matching software accurately matches, deduplicates, unifies, and harmonizes data using intelligent, proprietary algorithms. Through innovation in data quality, Syniti’s matching solutions move beyond the traditional boundaries and empower data-driven businesses. Accelerate data harmonization by 90% and experience a 75% reduction in the amount of time spent on de-duplication on your journey to SAP S/4HANA. Perform deduplication, matching, and lookup on billions of records in only 5 minutes with performance-ready processing and out-of-the-box-ready solutions that don't require already-clean data. AI, proprietary algorithms, and steep customization maximize matches across complex datasets and minimize false positives.

The Orion Data Validation Tool is an integration validation tool that enables business data validation across integration channels to ensure data compliance. It helps achieve data quality using a wide variety of sources and platforms. The tool’s integration validation and machine learning capabilities make it a comprehensive data validation solution that delivers accurate and complete data for advanced analytics projects. The tool provides you with templates to speed up data validation and streamline the overall integration process. It also allows you to select relevant templates from its library, as well as custom files from any data source. When you provide a sample file, the Orion Data Validation Tool reconfigures itself to the particular file requirements. Next, it compares data from the channel with the data quality requirements, and the built-in data listener displays the data validity and integrity scores.

Rapidly transform high-volume, disconnected data into trusted and actionable business insights with scalable enterprise data quality. Trillium Quality is a versatile, powerful data quality solution that supports your rapidly changing business needs, data sources and enterprise infrastructures – including big data and cloud. Its data cleansing and standardization features automatically understand global data, such as customer, product and financial data, in any context – making pre-formatting and pre-processing unnecessary. Trillium Quality services deploy in batch or in real-time, on-premises or in the cloud, using the same rule sets and standards across an unlimited number of applications and systems. Open APIs let you seamlessly connect to custom and third-party applications, while controlling and managing data quality services centrally from one location.

Talend Data Catalog gives your organization a single, secure point of control for your data. With robust tools for search and discovery, and connectors to extract metadata from virtually any data source, Data Catalog makes it easy to protect your data, govern your analytics, manage data pipelines, and accelerate your ETL processes. Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date through smart relationships and machine learning, continually delivering the most current data to the user. Make data governance a team sport with a secure single point of control where you can collaborate to improve data accessibility, accuracy, and business relevance. Support data privacy and regulatory compliance with intelligent data lineage tracing and compliance tracking.

Data Ladder is a data quality and cleansing company dedicated to helping you "get the most out of your data" through data matching, profiling, deduplication, and enrichment. We strive to keep things simple and understandable in our product offerings to give our customers the best solution and customer service at an excellent price. Our products are in use across the Fortune 500 and we are proud of our reputation of listening to our customers and rapidly improving our products. Our user-friendly, powerful software helps business users across industries manage data more effectively and drive their bottom line. Our data quality software suite, DataMatch Enterprise, was proven to find approximately 12% to 300% more matches than leading software companies IBM and SAS in 15 different studies. With over 10 years of R&D and counting, we are constantly improving our data quality software solutions. This ongoing dedication has led to more than 4000 installations worldwide.

Graphs are the most flexible formal data structures (making it simple to map other data formats to graphs) that capture explicit relationships between items so that you can easily connect new data items as they are added and traverse the links to understand the connections. The semantics of data are explicit and include formalisms for supporting inferencing and data validation. As a self-descriptive data model, knowledge graphs enable data validation and can offer recommendations for how data may need to be adjusted to meet data model requirements. The meaning of the data is stored alongside the data in the graph, in the form of the ontologies or semantic models. This makes knowledge graphs self-descriptive. Knowledge graphs are able to accommodate diverse data and metadata that adjusts and grows over time, much like living things do.