DQLABS Alternatives and Competitors

SAS Data Management enables organisations to build custom rules to control data access, editing, updating, and deletion across cloud platforms, legacy systems, and apps. The platform provides a drag-and-drop interface that allows businesses to edit and link data from numerous sources in real time through a single gateway. SAS Data Management's data quality management tools enable businesses to identify missing or erroneous data and develop custom rules to check and standardise data across projects and processes. Data purification, an interactive dashboard, batch updates, cooperation management, impact analysis, and other functions are included. Administrators can also migrate data from other sources such as external databases, message queues, text/XML files, and other sources. Supervisors can use SAS Data Management's audit tools to keep track of data operations and keep track of modifications for future reference. Pricing information is available upon request, and customer service is provided via phone, email, and other internet methods. SAS Data Quality meets you where you are, addressing your data quality concerns without the need to relocate your data. You'll work faster and more efficiently, and you won't put important data at danger thanks to role-based security. Data quality is a process rather than a one-time event. We assist you at every step of the way, making it simple to profile and detect problems, preview data, and build up repeatable processes to ensure excellent data quality.

Semantic Fact provides a standard software solution to master data management and data governance. The software is completely customer-oriented and the experts of the respective departments handle the data governance as well as master data management to keep the company of the user equipped with the updated technology. It can create valuable data from garbage value or burden resulting in solid inventory management as well as cost management. Data enrichment raises standard of data as well as cleanse data for an effective data governance. Readability, reusability, cost-effectiveness becomes much improved as well as accurate. MDM governance ensures minimal interference yet maximum results by using the SaaS and DaaS application to repair data as well as build one. Users can assign UNSPSC code to their data for an in-depth classification and check for originality before purchasing through the ERP interface for an effective data management. The software even handles data verification tasks with ease and confirms that the goods and services and ready for purchase from the distributor or manufacturer.

Informatica Cloud Data Quality is an effective data quality management tool that allows clients to deliver trusted insights. The tool is essentially useful for managing, identifying and fixing data quality problems in the cloud as well as on-premise business applications. Data discovery is an important feature of Informatica Cloud Data Quality as it performs iterative data analysis to point out the exact problems and thereafter. The solution’s common data quality rules can be smoothly reused to save time and resources for increased productivity. Further, data quality transformations too are a useful part of an Informatica integration that includes data cleansing along with standardisation and address verification, parsing and enrichment capabilities. Spark processing enhances the rate of performance by ten times thanks to its serverless nature. Further, Informatica Cloud Data Quality keeps every bit of data under continuous monitoring and tracks quality across source systems over time. It further automates a handful of critical tasks and orders, enabling enhanced productivity. However, among all features, it is Informatica’s intensive lineup of business-grade data solutions that sets it apart from the crowd.

Reduce the time spent on detecting and investigating data quality issues using our no-code approach. A no-code on-boarding. Connect to your data source and get started. They automatically detect your schema and analyze data within minutes. Quickly visualize high level statistics across all the data sources. Get profiling information like record count, unique values, empty values and correctness .

IBM Operation business decision manager is a DBA (digital business automation) platform that enables you to automate, discover, analyse, capture, and govern important business decisions in the cloud or on-premises. It is a division of IBM Business Automation Cloud and helps you govern, automate, and evaluate rules-based business decisions. With high precision and customisation, the solution can decide on promotional offers, approve a loan or detect a cross-sell opportunity. You can organize the process of deployment, discovery, updating, simulation, and testing. Without coding, you can discover, author, and preserve business decisions and deploy on-premises or in your preferred cloud environment. You can empower people to explain how decisions are made, prototype, and test them before they are put into production. Users can utilize interfaces that allow them to quickly write, create, and test decision models. With this software, anyone can participate in implementing, developing, managing, and modifying the rules of your organization with ease. Additionally, a Cloud Express version of the solution is available for enterprises that require less-complex applications with smaller transaction volumes.

Databricks is a compact data management platform that enables businesses to unify their analytics, data and AI, storing them all in a secured location. Users get to unify their entire data ecosystem belonging to different standards and formats. The software includes collaborative features allowing team members to work together across the entire data and AI workflow. It also brings collaborative notebooks within a unified portal enabling companies to work easily with Python, R SQL and Scala. Databricks includes openness and flexibility which provides reliability and performance within the data warehouses. These qualities of the platform make it a perfect solution for structured, unstructured and semi-structured data types. With Databricks, businesses can use their existing BI tools to analyse the updated metrics in real-time. Furthermore, the software also comes equipped with a heap of solutions facilitating a complete ML lifecycle management which supports any data type across multiple scales. This ML lifecycle also enables businesses to train models and manage their deployment in a way that best serves their individual purposes.

Data Suisse software is a platform used to transform corporate data for decision making. The software offers AI-based technology to process any data type from any source. Manage high-quality data for better human or automated decisions. Migrate, validates and deduplicates data sets. Small, Medium and Large companies make use of the software.

Dataiku is a data science and machine learning platform that brings people together to drive transformative business impact across the organization. The tool enables users to move their business along their data journey from analytics at scale to enterprise AI, powering the self-service analytics. It also ensures the operationalization of machine learning models in production. Dataiku DSS is a collaborative data science software for users working as data analysts, data scientists, and engineers. The platform helps users prototype, explore, build, and deliver their data products more efficiently. It offers deep collaboration across all skill levels to put the power of AI in users' hands. Users can quickly iterate on AI and ML models by leveraging their unique data and computation abstraction approach. Users can balance access and transparency with governance and security to scale AI safely and effectively. Dataiku provides granular levels of control and the ability to monitor every aspect of Machine Learning.

DemandTools is a CRM data quality software. Bulk processing coupled with DemandTools’ automation capabilities guarantees data quality is never overlooked. DemandTools is the key to clean data that unlocks the knowledge and understanding you need of your customers. Prevent duplicates for standard and custom objects as records are created and modified in Salesforce with the ability to block, report, or auto-merge duplicates.

Lotame data management software comes packed with an array of suitable and attractive features. This software helps in ensuring hassle-free and data migration. Doing master data management also becomes possible with the help of Lotame data manager. User can control and monitor the quality of the data migrated, processed and stored. Data security is never compromised with and full confidentiality is maintained. User can also match and merge data from multiple datasets or database. Data analysis, data capture, data integration and customer data are other data management features available with this software. This data management tool is web-based and comes with a very simple user interface.

Workato is a unique workflow automation software that automates almost everything in the workplace. A simple workflow platform can be used to build complex workflows across multiple organizations. Workato can help make workflows in departments such as Finance, IT, HR, Marketing, Sales, and Support. An IT workflow can be set up to escalate open tickets and security threats. Workato helps to streamline HR workflows, automating hiring and online training. By automating core HR processes, it saves a significant amount of time and effort. It comes with a built-in data loss prevention feature. It is serverless, so it is easy to set up and operate. Workato has market-leading security and governance trusted by major financial institutions and is independent of any app. It can run without any developer apps. Workato is 100% web-based and can therefore be accessed from almost any remote location. The software is quite powerful, even though it is a low-code platform that is simple to use.

data.world is an advanced data management tool used as an enterprise data software and a data catalog for organizing and monitoring data stacks. This metadata management tool assists the users in organizing their data and stores their inventory within their systems; this data solution assists businesses in setting up access permissions for employees to manage meta-data. data.world solution provides secure and safe access with legitimate permission for data editing, publishing, and viewing to the users. data.world's cloud-native Saas platform integrates a customer-grade user experience with a robust knowledge graph to produce improved data discovery, actionable insights, and acute data governance. Moreover, users can collaborate with their team and deploy 40 plus innate incorporations to keep an eye on the activity feed with full alertness. Small, mid and large businesses opt for this brilliant software as it enables data analysis, migration, integration, security, and capture- all at one single platform.

Splunk Enterprise is a machine data management software that can turn data into answers with its intuitive machine learning-powered analytics tool. This software can help users harness the untapped value of data to optimize their organization and deliver excellent customer service all the time. Splunk can ingest data from various sources and turn them into meaningful business outcomes. It also uses different visualized metrics to boost search and monitor performances for a better result. Powered by Artificial Intelligence, the software renders much attention to the organization’s IT, security and business arenas. Finally, when the software is connected, it allows everyone in the organization to see insights and get a quick glimpse of the business anytime. With special machine learning and performance capabilities, Splunk Enterprise can deliver a better experience to customers. It can even assist the support and retail teams to have real-time visibility and understand their system and service statistics properly.

Xtract.io provides a flexible end-to-end solution that helps to discover, manage, pre-process, and integrate data effectively. It allows users to make better decisions and outgrow their business faster with the help of Artificial Intelligence-powered data platforms. The software offers rich-features, where it identifies the right source to find the correct data from multiple data sources. Many users may find it challenging to extract data available in a semi-structured or unstructured format, but with the help of powerful Artificial Intelligence techniques on Xtract.io, one can easily use optimal ways to extract any data successfully. Apart from this, this software enables users to process raw data into usable information by using the right tools and technologies. Lastly, one can rely on it and acquire high-quality information with datasets and systems successfully. With 17 years of experience, this software has benefitted more than 12 industries and extracted even more than 5 billion records. With seamless integration and a custom solution for every requirement, this software allows a consistent flow of accurate and actionable data transformation journeys.

Upsolver web-based data management software comes with many business intelligence as well as data analysis features. This data manager helps in doing data discovery, high volume processing of data, data quality control, and data integration. Upsolver features text analytics, match & merge, strategic business planning, trend indicators etc. It adds value to the data analysis process with its features like sentimental analysis, regression analysis, ad hoc analysis, predictive analytics, statistical modelling etc. It comes packed with business intelligence features like ad hoc reports and ad hoc reports. Massive data preparation projects can be simplified and enhanced with it.

Collibra data governance is a platform that gives organizations the right tools to manage data in the best way possible. It helps to understand the growing amount of data so that teams can use it to improve their business. It helps to create a shared language for data assets within the organization so that everyone can work together from a single source of agreed truth. The platform helps organizations to automate governance and stewardship tasks so that the data management practice can stay in place even after the business evolves. It provides a central location for collaborating and interacting within common workflows and business processes. Organizations can define terminology, rules, and regulations for the business so that everyone can operate on the same foundation. Users can create, review, and even update data policies so that they can be applied throughout the organization. With a common understanding of how data is organized and classified, users can get more accurate reporting and analysis for their business.

CluedIn is a master data management solution that helps organizations achieve reliable and easier access to necessary data scattered across their business. It features quality dashboards indicating data that need detailed attention. With CluedIn, users can easily automate multiple data restoration and modification programs like fixing phone numbers, addresses, and more. Automated data profiling metrics featured by the platform, offers a comprehensive view of the existing data. Also, users get access to ELT-based connectors ingesting data with zero upfront transformation. Data blending becomes automatic with CluedIn, saving a lot of time for data flow maintenance. Data standardizing, Graph-based modeling, Data streaming to any system, etc., are some of the other vital metrics featured by the software, ensuring data unification. Additionally, users also get access to adequate support in Data Lake project fixing, Metadata standardization, seamless integration, and more. CuedIn eliminates standard complexities integrated within traditional MDM systems.

Druva Cloud Platform is a SaaS data protection service to manage enterprise data across cloud, data centre and endpoint workloads. The software is infinitely scalable and can be configured as required to meet the requisite business needs. Thus, new inclusions can be made in the solution without making any notable changes in the backup system. It also does not raise the need for installing new applications for any purpose. Moreover, the highly integrated cloud platform updates itself regularly to incorporate every essential feature available in the market of data protection. Druva Cloud Platform is aimed at improved customer experiences and thus, clients have the benefit of a simple yet highly intuitive interface that is deployed in a minimum of fifteen minutes. Intelligence is also one of the platform’s notable features as it stores data in a way that prevents duplication and encourages automatic long-time retention. With policy-based management to administer operations, clients can stay in control of their data. Federated search and advanced security measures, together ensure restricted access to every bit of the data in concern.

Diyotta software is an Enterprise-class data integration platform that connects enterprises to all their data. Connect and Transform data using the modern data warehouse environments and scalability across data centers, regions, and countries. The software offers a data encryption and secure data transfer to automate workflows in minutes. Small, Medium and Large companies make use of the software.

Wdata is a data, documents, and team consolidation tool built by Workiva for organizations. It helps their finance teams to gather, prepare, and interpret large datasets from cloud or any other platform. All the information is centralized, enabling users to search, connect, and add context. This connected data is completely traceable and auditable from the source system to the final report. Users can allow access to the data to anyone and also keep its control and transparency. IT professionals can enable self-service data preparation without compromising its control and governance. Analysts can unify and explore disparate datasets, conduct data transformations, and leverage refined tooling for a more meaningful analysis. Teams can ensure consistent and quality information for their existing reporting and compliance efforts, by accessing the connected data. Wdata also enables users to connect and simplify updates, pivot and drill down for more details, view data trends, and create interactive charts. These features help to improve efficiency, provide better transparency, and reduce the risk to the organizations.