Best Data Management Software - Page 100
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Compare the Top Data Management Software as of February 2026 - Page 100
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IBM® Sterling Transformation Extender enables your organization to integrate industry-based customer, supplier and business partner transactions across the enterprise. It helps automate complex transformation and validation of data between a range of different formats and standards. Data can be transformed either on-premises or in the cloud. Additional available advanced transformation support provides metadata for mapping, compliance checking and related processing functions for specific industries, including finance, healthcare, and supply chain. Industry standards, structured or unstructured data and custom formats. On-premises and hybrid, private or public cloud. With a robust user experience and RESTful APIs. Automates complex transformation and validation of data between various formats and standards. Any-to-any data transformation. Containerized for cloud deployments. Modern user experience. ITX industry-specific packs.
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IBM® Db2® Warehouse provides a client-managed, preconfigured data warehouse that runs in private clouds, virtual private clouds and other container-supported infrastructures. It is designed to be the ideal hybrid cloud solution when you must maintain control of your data but want cloud-like flexibility. With built-in machine learning, automated scaling, built-in analytics, and SMP and MPP processing, Db2 Warehouse enables you to bring AI to your business faster and easier. Deploy a pre-configured data warehouse in minutes on your supported infrastructure of choice with elastic scaling for easier updates and upgrades. Apply in-database analytics where the data resides, allowing enterprise AI to operate faster and more efficiently. Write your application once and move that workload to the right location, whether public cloud, private cloud or on-premises — with minimal or no changes required.
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Understanding the quality, content and structure of your data is an important first step when making critical business decisions. IBM® InfoSphere® Information Analyzer, a component of IBM InfoSphere Information Server, evaluates data quality and structure within and across heterogeneous systems. It utilizes a reusable rules library and supports multi-level evaluations by rule record and pattern. It also facilitates the management of exceptions to established rules to help identify data inconsistencies, redundancies, and anomalies, and make inferences about the best choices for structure.
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The combination of our core strengths, our deep industry experience in health, our advanced technology solutions including options for AI, blockchain, and data and analytics, and our reputation for trust and security, enables Watson Health to support our clients' digital transformations. Through a combination of technology solutions and experienced consulting, we're helping organizations become more efficient, resilient and robust institutions that can deliver on their mission to their communities. See Watson Health solutions that help optimize clinical, financial and operational performance. See Watson Health solutions to apply analytics and improve programs for vulnerable populations. See Watson Health solutions to improve clinical trials and generate real-world evidence. See Watson Health solutions that help payers manage performance, members and business networks. Watson Health solutions that help with benefits analytics, engagement and business continuity.
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IBM InfoSphere® Information Governance Catalog is a web-based tool that allows you to explore, understand and analyze information. You can create, manage and share a common business language, document and enact policies and rules, and track data lineage. Combine with IBM Watson® Knowledge Catalog to leverage existing curated data sets and extend your on-premises Information Governance Catalog investment to the cloud. A knowledge catalog allows you to put collected metadata into the hands of knowledge workers so data science and analytics communities can get easy access to the best assets for their purpose while still adhering to enterprise governance requirements. Provides a common business language and vocabulary to enable a deeper understanding of all your data assets, structured, semi-structured and unstructured. Documents governance policies and enacts rules to help you define how information should be structured, stored, transformed and moved.
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IBM Guardium Data Protection supports a zero trust approach to security. It discovers and classifies sensitive data from across the enterprise, providing real-time data activity monitoring and advanced user behavior analytics to help discover unusual activity around sensitive data. Guardium Data Protection is built on a scalable architecture, which provides full visibility into structured, semi-structured and unstructured data activity across all major data repositories—stored on-premises, in private and public cloud and in containers. Using a single interface, you can set access policies, monitor user access to protected data and discover, investigate and remediate vulnerabilities and threats as they occur in real time across your data environment.
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IBM InfoSphere® QualityStage® is designed to support your data quality and information governance initiatives. It enables you to investigate, cleanse and manage your data, helping you maintain consistent views of key entities including customers, vendors, locations and products. The solution helps you deliver quality data for your big data, business intelligence, data warehousing, application migration and master data management projects. Also available for IBM System z®. Provides capabilities including data profiling, standardization, probabilistic matching and data enrichment. Enables cross-organization capabilities to support your information governance policies. Use deep data profiling and analysis to provide understanding of the content, quality and structure of tables and files. This includes column analysis, data classification, data quality scores, relationship analysis, multicolumn primary key analysis and overlap analysis.
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What you don’t know can hurt you. Identify and help prevent risks to sensitive business data that may impact business processes, operations, and competitive position. IBM Data Risk Manager provides executives and their teams a business-consumable data risk control center that helps to uncover, analyze, and visualize data-related business risks so they can take action to protect their business. Identify high-value, business-sensitive information assets that are at risk from internal and external threats. Provide an end-to-end view of business metadata associated with crown jewel data. Convey meaning and value to executives with a business-consumable data risk control center. Enable conversations with IT, security, and the line of business to improve processes and mitigate risks.
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StreamFlux
Fractal
Data is crucial when it comes to building, streamlining and growing your business. However, getting the full value out of data can be a challenge, many organizations are faced with poor access to data, incompatible tools, spiraling costs and slow results. Simply put, leaders who can turn raw data into real results will thrive in today’s landscape. The key to this is empowering everyone across your business to be able to analyze, build and collaborate on end-to-end AI and machine learning solutions in one place, fast. Streamflux is a one-stop shop to meet your data analytics and AI challenges. Our self-serve platform allows you the freedom to build end-to-end data solutions, uses models to answer complex questions and assesses user behaviors. Whether you’re predicting customer churn and future revenue, or generating recommendations, you can go from raw data to genuine business impact in days, not months. -
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PurpleCube
PurpleCube
Enterprise-grade architecture and cloud data platform powered by Snowflake® to securely store and leverage your data in the cloud. Built-in ETL and drag-and-drop visual workflow designer to connect, clean & transform your data from 250+ data sources. Use the latest in Search and AI-driven technology to generate insights and actionable analytics from your data in seconds. Leverage our AI/ML environments to build, tune and deploy your models for predictive analytics and forecasting. Leverage our built-in AI/ML environments to take your data to the next level. Create, train, tune and deploy your AI models for predictive analysis and forecasting, using the PurpleCube Data Science module. Build BI visualizations with PurpleCube Analytics, search through your data using natural language, and leverage AI-driven insights and smart suggestions that deliver answers to questions you didn’t think to ask. -
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OptimalPlus
NI
Use advanced, actionable analytics to maximize your manufacturing efficiency, accelerate new product ramp and at the same time, make your product more reliable than ever. Harness the industry’s leading big data analytics platform and over a decade of domain expertise to take your manufacturing efficiency, quality and reliability to the next level. Use advanced, actionable analytics to maximize your manufacturing efficiency, accelerate new product ramp and gain visibility into your supply chain. We are a lifecycle analytics company that helps automotive and semiconductor manufacturing organizations make the most of their data. Our unique open platform was designed for your industry to give you a deep understanding of all the attributes of your products, to accelerate innovation by providing a comprehensive end-to-end solution for advanced analytics, artificial intelligence and machine learning. -
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SQLAlchemy
SQLAlchemy
SQLAlchemy is the Python SQL toolkit and object-relational mapper that gives application developers the full power and flexibility of SQL. SQL databases behave less like object collections the more size and performance start to matter; object collections behave less like tables and rows the more abstraction starts to matter. SQLAlchemy aims to accommodate both of these principles. SQLAlchemy considers the database to be a relational algebra engine, not just a collection of tables. Rows can be selected from not only tables but also joins and other select statements; any of these units can be composed into a larger structure. SQLAlchemy's expression language builds on this concept from its core. SQLAlchemy is most famous for its object-relational mapper (ORM), an optional component that provides the data mapper pattern. -
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MOSTLY AI
MOSTLY AI
As physical customer interactions shift into digital, we can no longer rely on real-life conversations. Customers express their intents, share their needs through data. Understanding customers and testing our assumptions about them also happens through data. And privacy regulations such as GDPR and CCPA make a deep understanding even harder. The MOSTLY AI synthetic data platform bridges this ever-growing gap in customer understanding. A reliable, high-quality synthetic data generator can serve businesses in various use cases. Providing privacy-safe data alternatives is just the beginning of the story. In terms of versatility, MOSTLY AI's synthetic data platform goes further than any other synthetic data generator. MOSTLY AI's versatility and use case flexibility make it a must-have AI tool and a game-changing solution for software development and testing. From AI training to explainability, bias mitigation and governance to realistic test data with subsetting, referential integrity. -
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Omatic
Omatic Software
We provide best in class integration solutions for social good organizations. Omatic Software powers your mission by seamlessly integrating and unifying disconnected data into consistent and personalized supporter experiences. We are the best integration solution for non profits because we understand how a supporter comes into and exits your system so we can help you get a full picture of your supporter data and journey. Current, clean, and complete data leads to clear-eyed insights and decisions which, in turn, lead to supporters who give, keep giving, and form the lifeblood of your mission. -
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MultiVue
Civica
Civica’s cloud Master Data Management (MDM) software, MultiVue, helps you to match, merge and master your data. It provides a single view of your records and all associated entities that’s accessible anywhere, anytime and on any device. The ability to bring together data from multiple business systems and functions to create an accurate view unlocks exciting opportunities for tech innovation and data insights, enabling you to deliver more cost-effective services and enhance customer experience and satisfaction. The opportunities to create better outcomes from MDM are only limited by the ability of IT and business functions to work together to identify use cases and areas of process improvement. With MultiVue and its accompanying modules – MultiVue Share, MultiVue Enrich, and MultiVue CRM Embed – you’ll take control of your records and reap the rewards of data-driven business. -
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Sutherland Extract
Sutherland
Sutherland Extract is an AI-powered OCR solution that learns from exceptions and becomes more intelligent over time. Our powerful input to output data extraction platform is truly cognitive and addresses the operational challenges of document-based workflows. It integrates effortlessly with robotic process automation platforms and other applications in your business operation. Businesses thrive on data when it's available, relevant, and actionable. With standard Optical Character Recognition (OCR) solutions limiting digitization outcomes, our AI-powered data extraction platform can seamlessly integrate with your existing applications. Traditional OCR systems require rules and templates for every document layout, making them heavily human-dependent and time-consuming. Sutherland Extract’s deep learning technology works by understanding the structure of documents, enabling higher Straight-Through Processing (STP) through intelligent data extraction and cognitive automation. -
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Vectice
Vectice
Enabling all enterprise’s AI/ML initiatives to result in consistent and positive impact. Data scientists deserve a solution that makes all their experiments reproducible, every asset discoverable and simplifies knowledge transfer. Managers deserve a dedicated data science solution. to secure knowledge, automate reporting and simplify reviews and processes. Vectice is on a mission to revolutionize the way data science teams work and collaborate. The goal is to ensure consistent and positive AI/ML impact for all organizations. Vectice is bringing the first automated knowledge solution that is both data science aware, actionable and compatible with the tools data scientists use. Vectice auto-captures all the assets that AI/ML teams create such as datasets, code, notebooks, models or runs. Then it auto-generates documentation from business requirements to production deployments. -
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MSIGHTS
MSIGHTS
While every enterprise experiences data challenges, we can help you maximize the value of your marketing data. We work as an extension of your marketing team and extended partners to make MarTech work better by integrating people, processes and platforms. When all three of those are in place, you can experience true data-driven decision power. Built from the ground up, the MSIGHTS platform is a suite of applications and integrated services that ensure your data is enterprise and analytics-ready. Take control and enjoy greater transparency while maximizing the value of your marketing data. Our solution packages can be leveraged individually to address specific challenges or combined to realize the full power of MSIGHTS across the marketing and data operations value chain. From implementation through ongoing services, each solution comes with our data expertise and collaborative customer support team. -
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Coalesce
Coalesce.io
Building and managing a fully documented data project takes a lot of time and manual coding. Not anymore. When we say we can help you transform data more efficiently, we can prove it. Column-aware architecture enables reusable data patterns and change management at scale. Bring visibility to change management and impact analysis for safer and more predictable data ops. Coalesce provides curated packages with best-practice templates to automatically generate native-SQL for Snowflake™. Have a unique need? No worries, templates are fully customizable. Navigating your data pipeline is easy in Coalesce. Each screen and button is designed to provide access to everything you need. Your data team has more control over every project, from comparing code side-by-side to instantly seeing project and audit history. Table-level and column-level lineage is automatically provided and always up-to-date. -
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Hologres
Alibaba Cloud
Hologres is a cloud-native Hybrid Serving & Analytical Processing (HSAP) system that is seamlessly integrated with the big data ecosystem. You can use Hologres to analyze and process PB-scale data with high concurrency and low latency. With Hologres, you can use your business intelligence (BI) tools to analyze data in multiple dimensions and explore your business in real-time. Hologres eliminates the disadvantages of traditional real-time data warehousing solutions, such as data silos and data redundancy. It meets your requirements for data migration and real-time analysis of large volumes of data. Responds to queries on PB-scale data at sub-second speeds. This response speed allows you to analyze data in multiple dimensions and explore your business in real-time. Supports highly concurrent writes and queries at a speed of up to 100 million transactions per second (TPS). Data can be queried immediately after it is written. -
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Alibaba Cloud Data Lake Formation
Alibaba Cloud
A data lake is a centralized repository used for big data and AI computing. It allows you to store structured and unstructured data at any scale. Data Lake Formation (DLF) is a key component of the cloud-native data lake framework. DLF provides an easy way to build a cloud-native data lake. It seamlessly integrates with a variety of compute engines and allows you to manage the metadata in data lakes in a centralized manner and control enterprise-class permissions. Systematically collects structured, semi-structured, and unstructured data and supports massive data storage. Uses an architecture that separates computing from storage. You can plan resources on demand at low costs. This improves data processing efficiency to meet the rapidly changing business requirements. DLF can automatically discover and collect metadata from multiple engines and manage the metadata in a centralized manner to solve the data silo issues. -
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Alibaba Cloud DataHub
Alibaba Cloud
DataHub supports various SDKs and APIs and provides multiple third-party plug-ins such as Flume and Logstash. You can import data to DataHub in an efficient manner. The DataConnector module can synchronize imported data to downstream storage and analysis systems in real time, such as MaxCompute, OSS, and Tablestore. You can import heterogeneous data that is generated by applications, websites, IoT devices, or databases to DataHub in real time. You can manage the data in a unified manner by using DataHub. You can also deliver the data to downstream systems such as analysis systems and archiving systems. This way, you can build a data streaming pipeline and extract more data value. -
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metaphactory
metaphacts
metaphactory transforms your data into consumable, contextual & actionable knowledge and drives continuous decision intelligence. Out-of-the-box, intuitive interfaces for searching, browsing & exploring your Knowledge Graph. Low-code approach to building custom interfaces that enable business-user interaction with the Knowledge Graph. Start small, iterate often & add new use cases, new data and new users on the fly. Agile knowledge management & low-code platform for building applications. -
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Amazon Comprehend Medical
Amazon
Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning to extract health data from medical text–no machine learning experience is required. Much of health data today is in free-form medical text like doctors’ notes, clinical trial reports, and patient health records. Manually extracting the data is a time consuming process, while automated rule-based attempts to extract the data don’t capture the full story as they fail to take context into account. As a result, the data remains unusable in large-scale analytics needed to advance the healthcare and life sciences industry and improve patient outcomes and create efficiencies. -
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BioVinci
BioVinci
BioVinci automatically runs state-of-the-art methods and recommends the best one to visualize your high-dimensional data. Explore high-dimensional data using machine learning algorithms: dimensionality reduction and feature selection. Convert massive datasets into speaking graphics without coding. Visualize research results using various graph types and customization options. The software allows scientists, without programming experiences, to quickly apply state-of-the-art machine learning techniques on their data and elegantly visualize the results to gain insights, otherwise, difficult to obtain. We specially focus on the design of BioVinci 2.0 to make it friendly even for first-time users. While having a wide range of plot configurations to serve different needs of users, we hope to bring the aesthetics, simplicity, interactive, publication-ready, and information revealing in every plot. -
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Gravy Analytics
Gravy Analytics
Gravy Analytics processes billions of pseudonymous, mobile location signals every day from millions of mobile devices to understand where people go and why. Billions of daily location signals from mobile devices. The largest events database gives context to millions of places and POIs. Consumer visits built on 100% deterministic location data. Verified and cleansed location datasets via APIs or batch delivery options. Real-world consumer insights for foot traffic, attribution, and competitive analytics. Location-based audiences to drive data-driven advertising campaigns. We want to help companies meet their biggest business challenges head-on with quality location data. To do this, brands and advertisers need context to understand why consumers go where they do. The local events and activities we choose to engage in delivering that context, providing insight into our lifestyles, interests and affinities. -
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Great Expectations
Great Expectations
Great Expectations is a shared, open standard for data quality. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. We recommend deploying within a virtual environment. If you’re not familiar with pip, virtual environments, notebooks, or git, you may want to check out the Supporting. There are many amazing companies using great expectations these days. Check out some of our case studies with companies that we've worked closely with to understand how they are using great expectations in their data stack. Great expectations cloud is a fully managed SaaS offering. We're taking on new private alpha members for great expectations cloud, a fully managed SaaS offering. Alpha members get first access to new features and input to the roadmap. -
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Databook
Databook
Our comprehensive platform delivers the insight and tools to help enterprise go-to-market teams hit peak performance, deal after deal. Databook gives sales professionals access to data-driven insights on everything from opportunity intelligence to propensity to buy. Focus account-based sales and marketing to accelerate the sales cycle. Armed with the right data, go-to-market teams gain a unique understanding of why companies are ready to buy, which business outcomes they’re seeking, and when deals are most likely to close. Consistently meet, or exceed, quotas. With just a few clicks, Databook helps sales reps craft sophisticated deliverables that speak directly to key buyers with the power to influence high-dollar deals. Efficiently fill the pipeline and drive more wins with ease. Now the whole go-to-market team can repeatedly create and win large enterprise deals. Featuring an intuitive, secure, cloud-based application and a host of productivity-enhancing modules. -
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Kyrah
Kyrah
Kyrah facilitates enterprise data management across your cloud data estate, data exploration, storage assets grouping, security policy enforcement and permissions management. It makes all changes transparent, secure and GDPR-compliant with its easily configurable and fully automated change request mechanism. And last, but not least, it offers full suitability of all events through activity log. Is seamless self-service data provisioning with shopping cart style checkout. Is a single pane of glass for your enterprise data estate via storage map with data usage heatmap. Enables faster time to market by unifying people, process and data provisioning in a single platform and user interface. Provides a single pane of glass for an organization to understand its data landscape including features such as data use a heatmap, data sensitivity and more. Enables enforcement of data compliance to ensure organizations comply with data sovereignty requirements, thus avoiding any potential fines. -
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Abstracta
EKAHAA
Data abstraction on any data source at your fingertips without any need for deployment. Everything is managed in the cloud with no presence at the data source. Abstracta helps in unifying all data sources. It simplifies and streamlines interaction with data sources. Restify data as a service with our proprietary service builder feature. Empower business users to perform on-the-fly data analysis with self-service capabilities. Accelerate data security initiatives much faster than you would have imagined. Our innovative profiling tags simplify data authorization. Fortify data with row & column-level access control policies. Empower businesses to protect & monitor data access patterns. Let data governance initiatives leap with our innovative flagship product Abstracta™. Protect business from internal & external security threats. Ekahaa believes in scale with simplicity for 10X growth. With its fluid UI design, any data can be exposed as a service in 2 minutes.
