Alternatives to Union Pandera

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

Looking for fast, easy solutions to protect your entire data lifecycle? Look no further. Melissa’s Web APIs offer a range of capabilities to keep your customer data clean, verified, and enriched. Our solutions work throughout the entire data lifecycle – whether in real time, at point of entry or in batch. • Global Address: Verify & standardize addresses in 240+ countries & territories with postal authority certified coding & premise-level geocoding. • Global Email: Verify email mailboxes, syntax, spelling & domains in real time to ensure they are deliverable. • Global Name: Verify, standardize & parse person & business names with intelligent recognition of millions of first & last names. • Global Phone: Verify phone as active, identify line type, & return geographic details, dominant language & carrier for 200+ countries. • Global IP Locator: Gain a geolocation of an input IP address with lat & long, proxy info, city, region & country. • Property (U.S. & Canada): Return comprehensive property & mortgage info for 140+ million U.S. properties. • Personator (U.S. & Canada): USPS® CASS/DPV certified address checking, name parsing & genderizing, phone & email verification are all easily performed with this API.

Verodat, a SaaS-platform, gathers, prepares and enriches your business data, then connects it to AI Analytics tools. For results you can trust. Verodat automates data cleansing & consolidates data into a clean, trustworthy data layer to feed downstream reporting. Manages data requests for suppliers. Monitors data workflows to identify bottlenecks and resolve issues. The audit trail is generated to prove quality assurance for each data row. Validation & governance can be customized to your organization. Data preparation time is reduced by 60% allowing analysts to focus more on insights. The central KPI Dashboard provides key metrics about your data pipeline. This allows you to identify bottlenecks and resolve issues, as well as improve performance. The flexible rules engine allows you to create validation and testing that suits your organization's requirements. It's easy to integrate your existing tools with the out-of-the box connections to Snowflake and Azure.

Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.

iCEDQ, a DataOps platform that allows monitoring and testing, is a DataOps platform. iCEDQ is an agile rules engine that automates ETL Testing, Data Migration Testing and Big Data Testing. It increases productivity and reduces project timelines for testing data warehouses and ETL projects. Identify data problems in your Data Warehouse, Big Data, and Data Migration Projects. The iCEDQ platform can transform your ETL or Data Warehouse Testing landscape. It automates it from end to end, allowing the user to focus on analyzing the issues and fixing them. The first edition of iCEDQ was designed to validate and test any volume of data with our in-memory engine. It can perform complex validation using SQL and Groovy. It is optimized for Data Warehouse Testing. It scales based upon the number of cores on a server and is 5X faster that the standard edition.

OpenRefine (previously Google Refine), is a powerful tool to work with messy data. It can clean it, transform it into another format, and extend it with web services or external data. OpenRefine keeps your data secure on your computer until you share it or collaborate with others. Unless you wish it to, your private data will never leave your computer. It works by installing a small server on your computer. You then use your web browser for interaction with it. OpenRefine allows you to explore large data sets easily. Watch the video below to learn more about this functionality. OpenRefine can link and extend your data with many webservices. OpenRefine can also upload your cleaned data to Wikidata.

Great Expectations is a standard for data quality that is shared and openly accessible. It assists data teams in eliminating pipeline debt through data testing, documentation and profiling. We recommend that you deploy within a virtual environment. You may want to read the Supporting section if you are not familiar with pip and virtual environments, notebooks or git. Many companies have high expectations and are doing amazing things these days. Take a look at some case studies of companies we have worked with to see how they use great expectations in their data stack. Great expectations cloud is a fully managed SaaS service. We are looking for private alpha members to join our great expectations cloud, a fully managed SaaS service. Alpha members have first access to new features, and can contribute to the roadmap.

QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed

The BiG EVAL platform provides powerful software tools to ensure and improve data quality throughout the entire lifecycle of information. BiG EVAL's data quality and testing software tools are built on the BiG EVAL platform, a comprehensive code base that aims to provide high performance and high flexibility data validation. All features were developed through practical experience gained from working with customers. It is crucial to ensure high data quality throughout the data lifecycle. This is essential for data governance. BiG EVAL DQM, an automation solution, supports you in all aspects of data quality management. Continuous quality checks validate enterprise data, provide a quality indicator, and support you in solving quality problems. BiG EVAL DTA allows you to automate testing tasks within your data-oriented project.

Datagaps DataOps Suite, a comprehensive platform, automates and streamlines data validation processes throughout the entire data lifecycle. It offers end to end testing solutions for ETL projects (Extract Transform Load), data management, data integration and business intelligence (BI). The key features include automated data cleansing and validation, workflow automation and real-time monitoring, as well as advanced BI analytics. The suite supports multiple data sources including relational databases and NoSQL databases as well as cloud platforms and file-based systems. This ensures seamless integration and scalability. Datagaps DataOps Suite, which uses AI-powered data quality assessment and customizable test scenarios, improves data accuracy, consistency and reliability.

Anomalo helps you get ahead of data issues by automatically detecting them as soon as they appear and before anyone else is impacted. -Depth of Checks: Provides both foundational observability (automated checks for data freshness, volume, schema changes) and deep data quality monitoring (automated checks for data consistency and correctness). -Automation: Use unsupervised machine learning to automatically identify missing and anomalous data. -Easy for everyone, no-code UI: A user can generate a no-code check that calculates a metric, plots it over time, generates a time series model, sends intuitive alerts to tools like Slack, and returns a root cause analysis. -Intelligent Alerting: Incredibly powerful unsupervised machine learning intelligently readjusts time series models and uses automatic secondary checks to weed out false positives. -Time to Resolution: Automatically generates a root cause analysis that saves users time determining why an anomaly is occurring. Our triage feature orchestrates a resolution workflow and can integrate with many remediation steps, like ticketing systems. -In-VPC Development: Data never leaves the customer’s environment. Anomalo can be run entirely in-VPC for the utmost in privacy & security

Experian Data Quality is a leader in data quality and data management solutions. Our comprehensive solutions can validate, standardize and enrich customer data. We also profile and monitor it to ensure that it is suitable for purpose. Our software can be customized to any environment and any vision with flexible SaaS or on-premise deployment models. Real-time address verification solutions allow you to keep your address data current and preserve the integrity of your contact information. Comprehensive data quality management solutions allow you to analyze, transform, and manage your data. You can even create data processing rules specific to your business. Experian Data Quality's phone validation tools can help you improve your mobile/SMS marketing efforts.

High-volume, disconnected data can be quickly transformed into actionable business insights using scalable enterprise data quality. Trillium Quality, a flexible, powerful data quality tool, supports your rapidly changing business requirements, data sources, and enterprise infrastructures, including big data and cloud. Its data cleansing features and standardization capabilities automatically understand global data such as customer, product, and financial data in any context. Pre-formatting and preprocessing are unnecessary. Trillium Quality services can be deployed on-premises or remotely in real time, in batch or in the cloud. They use the same rules and standards across a wide range of applications and systems. Open APIs allow you to seamlessly connect to third-party and custom applications while centrally managing and controlling data quality services.

Waaila, a comprehensive application that monitors data quality, is supported by hundreds of analysts around the world. It helps to avoid disasters caused by poor data quality. Validate your data to take control of your analytics. They must be precise to maximize their potential, therefore validation and monitoring are essential. It is crucial that the data be accurate and reliable in order to serve its true purpose and allow for business growth. Marketing strategies that are more effective will be more efficient if they are of higher quality. You can rely on the accuracy and quality of your data to make data-driven decisions that will lead to the best results. Automated validation saves time and energy and delivers better results. Rapid attack discovery helps to prevent huge impacts and opens up new opportunities. The application management and navigation are simple, which allows for quick data validation and efficient processes that enable the issue to be quickly identified and solved.

To simplify enterprise data management, improve data accuracy, reduce costs, and create a cohesive master data management strategy across all your domains, you need to establish a common and coordinated master data management strategy. With minimal barriers to entry, you can kick-start your corporate master information management initiative in the cloud. You also have the option to add master data governance scenarios at will. By combining SAP and third-party data sources, you can create a single source for truth and mass process additional bulk updates on large amounts of data. To confirm master data readiness and to analyze master data management performance, define, validate, monitor, and monitor established business rules. Facilitate collaborative workflow routing and notification so that different teams can have their own master data attributes and validated values for specific data points.

DataOps ETL Validator, the most comprehensive ETL testing and data validation tool, is the most comprehensive ETL testing automation software. Comprehensive ETL/ELT Validation Tool to automate testing of data migration projects and data warehouses with an easy-to-use component-based user interface and low-code, zero-code test creation. ETL involves extracting data, transforming it according to operational needs, and then loading it into the target database or data store. ETL testing involves verifying accuracy, integrity and completeness of the data as it moves along the ETL process in order to ensure that it meets business requirements and rules. Automation of ETL testing is possible with tools that automate data validation, comparison, and transformation tests. This will speed up the testing cycle, reduce manual labor, and significantly accelerate the testing cycle. ETL Validator automates ETL tests by providing intuitive interfaces to create test cases without extensive programming.

Ataccama is a revolutionary way to manage data and create enterprise value. Ataccama unifies Data Governance, Data Quality and Master Data Management into one AI-powered fabric that can be used in hybrid and cloud environments. This gives your business and data teams unprecedented speed and security while ensuring trust, security and governance of your data.

Our state-of the-art data migration tool is specifically designed to convert and migrate data from legacy applications to advanced systems and frameworks. It also includes advanced data validation mechanisms and real-time reporting.

We have made significant progress serving the AI value-chain through projects that span different data types, industries and geographical locations. Our diverse experience allows us to address unique challenges, and optimize solutions in different sectors. Custom data sources with high precision for your model needs, from around the globe, that are in strict compliance with GDPR and ISO standards. Data annotation and labeling is performed with 95% accuracy for all data types. This ensures flawless model performance. In the early stages, determine your model's performance to receive an expert opinion that is unbiased on critical performance measures like bias, duplication and ground truth response. Validate the output of your model by leveraging the validation team's expertise to optimize and improve accuracy.

Data Ladder is a data cleansing and quality company that helps you "get the best out of your data." We offer data matching, profiling and deduplication as well as enrichment. Our product offerings are simple and easy to understand. This allows us to provide excellent customer service and a great solution for our customers. Our products are used by Fortune 500 companies. We are proud of our reputation for listening to our customers, and constantly improving our products. Our powerful, user-friendly software allows business users from all industries to manage their data more efficiently and improve their bottom line. DataMatch Enterprise, our data quality software suite, found approximately 12%-300% more matches than the leading software companies IBM or SAS in 15 different studies. We have over 10 years of experience in R&D and counting. We are constantly improving our data-quality software solutions. This dedication has resulted in more than 4000 installations around the world.

WhiteSpace offers business integration solutions for our customers based upon our Skimmer Technology. Skimmer Technology uses the Microsoft Office suite's desktop automation resources in combination with data mining and extract technology to refine data from diverse data sources. The refined data is then processed, and presented as data analysis products in MS Excel or MS Word, as well as web pages. Business Integration Solutions are well-suited for many corporate problems. Skimmer Technology provides a framework and tools for integration-based projects. The risk is greatly reduced and the return on investment is much faster. Any integration project should start with validation of data and the report process. Skimmers validate existing reports, whereas most manual reports are never validated. Skimmers strengthen processes and eliminate manually introduced variances.

All your ELT data pipelines, including custom ones, will be up and running in minutes. Your team can focus on innovation and insights. Unify all your data integration pipelines with one open-source ELT platform. Airbyte can meet all the connector needs of your data team, no matter how complex or large they may be. Airbyte is a data integration platform that scales to meet your high-volume or custom needs. From large databases to the long tail API sources. Airbyte offers a long list of connectors with high quality that can adapt to API and schema changes. It is possible to unify all native and custom ELT. Our connector development kit allows you to quickly edit and create new connectors from pre-built open-source ones. Transparent and scalable pricing. Finally, transparent and predictable pricing that scales with data needs. No need to worry about volume. No need to create custom systems for your internal scripts or database replication.

RightData is an intuitive, flexible and scalable data validation, reconciliation and testing suite that allows stakeholders to identify issues related to data consistency and quality. It allows users to analyse, design, build and execute reconciliation and validation scenarios without programming. It helps to identify data issues in production, thereby preventing compliance, credibility damage and minimizing the financial risk for your organization. RightData's purpose is to improve the data quality, consistency, reliability, and completeness of your organization. It allows you to speed up the delivery process and reduce costs by enabling Continuous Integration/Continuous Deployment (CI/CD). It automates the internal audit process and improves coverage, thereby increasing your organization's confidence in its audit readiness.

Think your contact records are accurate? Think again. According to SiriusDecisions, 25% of all contact records contain critical errors. Ensure your data is pristine with Lead Validation – US , a powerful real-time API. It consolidates expertise in verifying business names, emails, addresses, phones, and devices, offering corrections and enhancements to contact records. Plus, it assigns a comprehensive lead quality score from 0 to 100. Integrating seamlessly with CRM and Marketing platforms Lead Validation - US provides actionable insights directly within your workflow. It cross-validates five crucial lead quality components—name, street address, phone number, email address, and IP address—utilizing over 130 data points. This thorough validation helps companies ensure accurate customer data at the point of entry and beyond.

Crux is used by the most powerful people to increase external data integration, transformation and observability, without increasing their headcount. Our cloud-native data technology accelerates the preparation, observation, and delivery of any external dataset. We can guarantee you receive high-quality data at the right time, in the right format, and in the right location. Automated schema detection, delivery schedule inference and lifecycle management are all tools that can be used to quickly build pipelines from any external source of data. A private catalog of linked and matched data products will increase your organization's discoverability. To quickly combine data from multiple sources and accelerate analytics, enrich, validate, and transform any data set, you can enrich, validate, or transform it.

The market-leading, scalable, and high-performance enterprise data management platform allows you to embrace agility. All aspects of data integration are supported, from the initial project jumpstart to the successful deployment of mission-critical enterprise applications. PowerCenter, a metadata-driven data management platform, accelerates and jumpstarts data integration projects to deliver data to businesses faster than manual hand coding. Developers and analysts work together to quickly prototype, iterate and validate projects, then deploy them in days instead of months. Your data integration investments can be built on PowerCenter. Machine learning can be used to efficiently monitor and manage PowerCenter deployments across locations and domains.

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. 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 Pipeline Alerts to Monitor Data in Real-Time

Our multidomain, market-leading solution supports any master domain, implementation style, or use case. It can be used in the cloud or on premises. Integrates best-in class data integration, data quality management and data privacy. Trusted views of master data that are critical to business operations allow you to tackle complex issues head-on. Automatedly link master, transaction, or interaction data relationships across master domains. Contact data verification, B2B enrichment and B2C enrichment services increase data accuracy. With one click, update multiple master data records, dynamic models, and collaborative workflows. AI-powered match tuning, rule recommendations and optimization can reduce maintenance costs and speed up deployment. Use pre-configured, highly granular charts or dashboards to increase productivity. With trusted, relevant data, you can create high-quality data that will help you improve your business results.

Openprise is a single platform that doesn't require any code. It allows you to automate hundreds sales and marketing processes, allowing you to realize all the benefits you promised from your RevTech investments. You could try to fix this by creating dozens of point solutions in a "Frankentecture". However, quality and SLAs will suffer if you have people who are less excited about tedious manual tasks than you. Openprise is a single platform that uses no code. It combines the best business rules and data to manage hundreds of processes such as data cleansing, account scoring and lead routing. Openprise automates the manual processes, such as lead routing and attribute, that are not automated by other sales and marketing automation platforms.

WinPure™, MDM, is a master data management system that aligns with your company to provide a single view of all your data. It also includes functions and features to help manage your data. These features are available as a free download from the clean & matching enterprise edition. They have been repurposed for easy web-based data prep and MDM operations. There are many ways to clean, standardize, and transform data in dozens different formats. Industry-leading data matching and error-tolerant technologies. It is simple and easy to configure survivorship technology. The general benefits include a lower cost and a faster time to market. It is easy to use, requires minimal training, and can be implemented quickly. Faster MDM and systems deployments will result in better business results. Simple and easy data preparation tools, batch loads that are faster and more accurate. Flexible and efficient interconnectivity via API with other databases and systems. Accelerate the time it takes to create synergies in M&A.

The Orion Data Validation Tool, an integration validation tool, allows business data to be validated across integration channels in order to ensure data compliance. It helps to achieve data quality by using a variety of platforms and sources. The tool's machine learning and integration validation capabilities make it an effective data validation solution for advanced analytics projects. The tool offers templates to streamline the integration process and speed up data validation. You can also select templates from the library and custom files from any source. The Orion Data Validation Tool will automatically reconfigure itself when you provide a sample. Then, it compares the data from the channel to the data quality requirements. The built-in data reader displays the data validity scores.

Leading organizations today are using data to outperform their competitors, improve customer satisfaction, and discover new business opportunities. Traditional technologies and processes are being challenged by industry-specific regulations and privacy rules. Data quality is a must-have in any organization, but it often stops at the door of the BI/analytics program. Wiiisdom Ops can help your organization ensure quality assurance in the analytics component, which is the last mile of the data journey. You put your organization at risk by not having it. This could lead to disastrous decisions or automated disasters. Automation is essential for BI Testing at scale. Wiiisdom Ops seamlessly integrates into your CI/CD pipeline. This guarantees a seamless end-to-end analytics testing loop at lower costs. Wiiisdom Ops does not require engineering skills. You can centralize and automate all your test cases using a simple interface. Then, you can share the results.

Validate and verify your address information by comparing them with official Postal Authority databases. You can increase delivery rates, reduce returned mail, and receive postal discounts. Connect address datasources with our enterprise-class cleansing transforms. Once you have connected your address datasources, you will be able to validate and verify it. You can increase delivery rates, reduce returned mail, and get postal discounts. Identify the data elements in your address data and separate them into their parts. Correct common spelling errors and format your address data to conform with industry standards. This will improve mail delivery. Verify that an address exists against the USPS address database. You can verify whether the address is residential, business, or if it is deliveryable by USPS Delivery Point Validation. Merge validated data from multiple sources to create customized output files for your organization's workflow.

DataTrust accelerates test cycles and reduces the cost of delivery through continuous integration and continuous distribution (CI/CD). It is a powerful tool for data validation, data reconciliation, and data observability at a large scale. It is code-free and easy to use. Re-usable scenarios allow you to perform comparisons, validations and reconciliations. Automate your testing process and be alerted to any issues that arise. Interactive executive reports that provide insights into the quality dimension. Filters to customize drill-down reports. Compare row counts for multiple tables at the schema level. Checksum data comparisons can be performed for multiple tables. Rapid generation of business rule using ML. Flexibility in accepting, modifying, or discarding rules as required. Reconciling data across multiple sources. DataTrust solutions offer a full suite of applications for analyzing source and target datasets.

It is important to communicate with a lead or customer effectively. Name Validation is a 40-step process that helps your business eliminate inaccurate and bogus names. It also prevents embarrassing personalization errors from being sent out to customers and prospects. It's important to get the names of your customers and prospects right. Accurate names can be crucial for effective personalization, and are also a good indicator of fraudulent or bogus submissions to web forms. Name Validation verifies both first and last name using a global database with more than 1.4 millions first names and 2.75 millions last names. It corrects common mistakes and flags garbage before it enters into your database. Our real-time service for name validation and verification corrects and tests against a proprietary consumer database that contains millions of names to determine an overall score. This score can be used by your business to block or deny bogus submissions.

Increase the accuracy of your CMDB data by 99% and maintain it at that level. Reduce incident source system detection times to zero. Complete transparency regarding risk and SLA exposure. Optimize service billing by eliminating clawbacks and under billing, and reducing manual billing. Reduce maintenance and license costs associated to decommissioned assets. Reduce outage resolution times and eliminate major incidents to improve trust and transparency. Overcome the limitations of Discovery tools to drive integration across your entire IT estate. Integrating disparate IT data sets can help to foster collaboration between ITSM/ITOM functions. Continuous CI validation across a wide range of data sources gives you a complete view of your IT environment. Blazent ensures data integrity and quality, with 100% data accuracy. We transform all your IT and OT data, from any source, into reliable data.

Synthesized can help you unlock the full potential of your data projects and AI. We automate all stages of data preparation and provisioning with cutting-edge AI. The platform synthesizes data without exposing personal information or causing compliance issues. Software to prepare and provide accurate synthetic data for building better models at scale. Synthesized solves the problem of data sharing for businesses. 40% of companies that invest in AI can't report business benefits. Our easy-to-use platform allows data scientists, product, and marketing teams to focus on revealing critical insight. Without representative data, testing data-driven applications can be difficult. This can lead to problems when services go live.

It is important to understand the quality, structure, and content of your data before making any business decisions. IBM® InfoSphere® Information Analyzer is a component to IBM InfoSphere Information Server that evaluates data structure and quality within and across heterogeneous environments. It uses a reusable rule library and supports multilevel evaluations by pattern and rule record. It allows you to manage exceptions to existing rules and helps you identify data inconsistencies, redundancies and anomalies.

Tamr's next-generation platform for data mastering combines machine learning and human feedback to eliminate data silos and continually clean up and deliver accurate data throughout your business. Tamr works with top organizations worldwide to solve their most difficult data problems. To solve problems such as duplicate records and errors, Tamr works with leading organizations around the world to provide a complete view of all your data - from customers, suppliers, and product. Next-generation data mastering combines machine learning and human feedback to provide clean data that can be used to make business decisions. Clean data can be fed to operational systems and analytics tools with up to 80% less effort than traditional methods. Tamr assists financial firms to stay data-driven and improve their business results, from Customer 360 to reference data administration. Tamr assists the public sector in meeting mission requirements faster by reducing manual workflows for data entity resolution.

With automated data quality profiling, and synthetic data generation, adopting data-centric AI is easier than ever. We help data scientists unlock the full potential of data. YData Fabric enables users to easily manage and understand data assets, synthetic data, for fast data access and pipelines, for iterative, scalable and iterative flows. Better data and more reliable models delivered on a large scale. Automated data profiling to simplify and speed up exploratory data analysis. Upload and connect your datasets using an easy-to-configure interface. Synthetic data can be generated that mimics real data's statistical properties and behavior. By replacing real data with synthetic data, you can enhance your datasets and improve your models' efficiency. Pipelines can be used to refine and improve processes, consume data, clean it up, transform your data and improve its quality.

The digital economy requires organizations to be responsive and have a master data management platform that is highly scalable and supports hyper-personalization and real-time operations. Reltio Connected Data Platform, the only cloud-native platform for data management, supports billions of customer profiles. These profiles are enriched with thousands upon thousands of attributes, relationships, transactions and interactions from hundreds if not more data sources. Reltio powers mission-critical enterprise-class applications that can operate 24/7 with thousands of external and internal users. Reltio Connected Data Platform scales seamlessly and delivers elastic performance. It also supports the throughput enterprises require for any operational or analytical use. Innovative polyglot data storage technology allows for unprecedented flexibility in adding or removing data sources and attributes without any downtime. Reltio is built on master data management (MDM), and enhanced with graph technology.

Data management software is used mainly by enterprise business teams. Data management software must be intuitive, automated, and intelligent. Data management activities must also adhere to specific industry and data protection regulations. Data must be accurate, consistent, high quality, and easily accessible to enable business teams to make informed, data-driven strategic business decisions. Integrates data privacy, data quality management and test data management. Service engine-based architecture allows for efficient handling of growing data volumes. Uses a user-defined function framework with python adapter to handle niche data processing needs. This provides a minimal layer of governance for data quality and privacy management.

Syniti's data match solutions will help you build a more connected company, drive growth, or leverage new technologies at scale. No matter what data source or shape, our matching software matches, unifies, unifies and harmonizes data using proprietary algorithms. Syniti's matching software is innovative in data quality and empowers data-driven businesses. You will be able to accelerate data harmonization by 90%, and save 75% on de-duplication during your journey to SAP S/4HANA. With performance-ready processing and ready-to-go solutions that don’t require clean data, you can perform deduplication, matching, or lookup on billions upon billions of records in just 5 minutes. AI, proprietary algorithms, steep customization, and high-quality matches maximize matches across complex datasets, and minimize false positives.

Talend Data Catalog provides your organization with a single point of control for all your data. Data Catalog provides robust tools for search, discovery, and connectors that allow you to extract metadata from almost any data source. It makes it easy to manage your data pipelines, protect your data, and accelerate your ETL process. Data Catalog automatically crawls, profiles and links all your metadata. Data Catalog automatically documents up to 80% of the data associated with it. Smart relationships and machine learning keep the data current and up-to-date, ensuring that the user has the most recent data. Data governance can be made a team sport by providing a single point of control that allows you to collaborate to improve data accessibility and accuracy. With intelligent data lineage tracking and compliance tracking, you can support data privacy and regulatory compliance.

DQ on Demand™, native to Azure, is designed to deliver incredible performance and scalability. You can switch data providers easily and improve your customer data on an as-you-go basis. Simply plug into our DQ On Demand™, web services. This will provide you with a simple-to-access data quality market. There are many data services available, including data cleansing, enrichment and validation, verification, data transformations and verification. Connect to our web-based APIs. Switch data providers easily, giving you maximum flexibility. Complete developer documentation. Pay only for what you use. You can purchase credits and use them for any service you need. It is easy to set up and use. Excel allows you to easily access all DQ on Demand™, functions. Our DQ PCF controls will ensure that your data is cleaned up right within MS Dynamics.

Data characteristics such as meaning, usage, lineage and alignment to business outcomes, ownership, that have been lost repeatedly after each project, can now be captured and retained for the first time. These essential characteristics can now be reused downstream in order to advance strategic business initiatives that depend on trusted data. Reuse data to deliver your outcomes faster. Capture and unleash the potential of your data. Unlock the potential in your data within the context of your business. Many of your projects require the same understanding and insights into your data. It's likely that you are constantly reinventing this information. Syniti can provide this knowledge at a fraction the cost and with greater accuracy. Don't lose your knowledge. Reuse the knowledge and insights that are hidden in your data. Keep your knowledge safe for future reference.

Automate the automatic coverage of thousands of tables using ML-based anomaly detection. 50+ custom metrics are also available. Monitoring of metadata and data. Comprehensive mapping of all dependencies between assets from ingestion to reporting. Collaboration between data consumers and data engineers is enhanced and productivity is increased. Sifflet integrates seamlessly with your data sources and preferred tools. It can run on AWS and Google Cloud Platform as well as Microsoft Azure. Keep an eye on your data's health and notify the team if quality criteria are not being met. In a matter of seconds, you can set up the basic coverage of all your tables. You can set the frequency, criticality, and even custom notifications. Use ML-based rules for any anomaly in your data. There is no need to create a new configuration. Each rule is unique because it learns from historical data as well as user feedback. A library of 50+ templates can be used to complement the automated rules.

Deliver tangible strategic value, quickly. With AI-driven automation, you can ensure end-to-end support of data quality requirements across users and data types. No matter what type of initiative your organization is working on--from data migration to next-gen analytics--Informatica Data Quality has the flexibility you need to easily deploy data quality for all use cases. Facilitate collaboration between IT and business stakeholders and empower business users. All use cases and all workloads require management of the quality of multicloud and on-premises data. Integrates human tasks into the workflow. Business users can review, correct, or approve exceptions during the automated process. To uncover relationships and detect problems, profile data is used to perform iterative analysis of data. AI-driven insights can automate the most important tasks and simplify data discovery to increase productivity.

The open-source ML observability Platform. From validation to production, evaluate, test, and track ML models. From tabular data up to NLP and LLM. Built for data scientists and ML Engineers. All you need to run ML systems reliably in production. Start with simple ad-hoc checks. Scale up to the full monitoring platform. All in one tool with consistent APIs and metrics. Useful, beautiful and shareable. Explore and debug a comprehensive view on data and ML models. Start in a matter of seconds. Test before shipping, validate in production, and run checks with every model update. By generating test conditions based on a reference dataset, you can skip the manual setup. Monitor all aspects of your data, models and test results. Proactively identify and resolve production model problems, ensure optimal performance and continually improve it.

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.