Best Data Management Software - Page 90
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Compare the Top Data Management Software as of February 2026 - Page 90
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1
Oracle Coherence
Oracle
Oracle Coherence is the industry leading in-memory data grid solution that enables organizations to predictably scale mission-critical applications by providing fast access to frequently used data. As data volumes and customer expectations increase, driven by the “internet of things”, social, mobile, cloud and always-connected devices, so does the need to handle more data in real-time, offload over-burdened shared data services and provide availability guarantees. The latest release of Oracle Coherence, 14.1.1, adds a patented scalable messaging implementation, support for polyglot grid-side programming on GraalVM, distributed tracing in the grid, and certification on JDK 11. Coherence stores each piece of data within multiple members (one primary and one or more backup copies), and doesn't consider any mutating operation complete until the backup(s) are successfully created. This ensures that your data grid can tolerate the failure at any level: from single JVM, to whole data center. -
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Microsoft Power Query
Microsoft
Power Query is the easiest way to connect, extract, transform and load data from a wide range of sources. Power Query is a data transformation and data preparation engine. Power Query comes with a graphical interface for getting data from sources and a Power Query Editor for applying transformations. Because the engine is available in many products and services, the destination where the data will be stored depends on where Power Query was used. Using Power Query, you can perform the extract, transform, and load (ETL) processing of data. Microsoft’s Data Connectivity and Data Preparation technology that lets you seamlessly access data stored in hundreds of sources and reshape it to fit your needs—all with an easy to use, engaging, no-code experience. Power Query supports hundreds of data sources with built-in connectors, generic interfaces (such as REST APIs, ODBC, OLE, DB and OData) and the Power Query SDK to build your own connectors. -
3
DeepSee
DeepSee
Putting humans back in charge of the automation. DeepSee empowers knowledge workers with AI techniques to turn data into powerful business assets. Solving real problems for real people. Knowledge is power, and equipping subject-matter experts with the right tools to sift through all the noise has never been more critical to business success. DeepSee created the Knowledge Process Automation (KPA) platform to mine unstructured data, operationalize AI-powered insights, and automate results into real-time action for the enterprise. We’re putting deep knowledge and the power of AI back into human hands. For enterprises across every major business sector, driving strong performance isn’t just about tracking KPIs. Today, competitive advantage is fueled by understanding trends, predictions, and outliers. The DeepSee platform extracts, processes, and transforms untapped data into these key competitive insights in real time — eliminating complexities between analysis and action. -
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QEDIT
QEDIT
QEDIT is an enterprise-ready, cross-organizational data collaboration platform engineered for the new data economy. We leverage the latest innovations in privacy-enhancing technology to help you safely monetize data assets, improve business analytics processes and gain actionable insights from 2nd parties in a risk-free environment. Our highly scalable, cloud-hosted platform seamlessly integrates with legacy database systems so you can be up and running in no time. QEDIT provides you with timely, business-critical intelligence through a configurable dashboard, advanced reporting functionality, real-time notifications and more. QEDIT empowers companies to engage in regulatory-compliant data collaboration to accelerate growth, mitigate risk and solve complex business problems. QEDIT is an enterprise-ready, secure data collaboration platform that enables companies to share intelligence and monetize data insights derived from external sources, without revealing confidential information. -
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Load your data into or out of Hadoop and data lakes. Prep it so it's ready for reports, visualizations or advanced analytics – all inside the data lakes. And do it all yourself, quickly and easily. Makes it easy to access, transform and manage data stored in Hadoop or data lakes with a web-based interface that reduces training requirements. Built from the ground up to manage big data on Hadoop or in data lakes; not repurposed from existing IT-focused tools. Lets you group multiple directives to run simultaneously or one after the other. Schedule and automate directives using the exposed Public API. Enables you to share and secure directives. Call them from SAS Data Integration Studio, uniting technical and nontechnical user activities. Includes built-in directives – casing, gender and pattern analysis, field extraction, match-merge and cluster-survive. Profiling runs in-parallel on the Hadoop cluster for better performance.
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Sentrana
Sentrana
Whether your data is trapped in silos or you’re generating data at the edge, Sentrana gives you the flexibility to create AI and data engineering pipelines wherever your data is. And you can share your AI, Data, and Pipelines with anyone anywhere. With Sentrana, you can achieve newfound agility to effortlessly move between compute environments, while all your data and your work replicates automatically to wherever you want. Sentrana provides a large inventory of building blocks from which you can stitch together custom AI and Data Engineering pipelines. Rapidly assemble and test many different pipelines to create the AI you need. Turn your data into AI with near-zero effort and cost. Since Sentrana is an open platform, newer cutting-edge AI building blocks that are emerging every day are put right at your fingertips. Sentrana turns the Pipelines and AI models you create into re-executable building blocks that anyone on your team can hook into their own pipelines. -
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Quickly prepare data for trusted insights throughout the organization. Data and business analysts spend too much time cleaning data instead of analyzing it. Talend Data Preparation provides a self-service, browser-based, point-and-click tool to quickly identify errors and apply rules that you can easily reuse and share, even across massive data sets. Our intuitive UI and self-service data preparation and curation functionality make it possible for anyone to do data profiling, cleansing, and enriching in real time. Users can share preparations and curated datasets, and embed data preparations into batch, bulk, and live data integration scenarios. Talend lets you turn ad-hoc data enrichment and analysis jobs into fully managed, reusable processes. Operationalize data preparation from virtually any data source, including Teradata, AWS, Salesforce, and Marketo, always using the latest datasets. Talend Data Preparation puts data governance in your hands.
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Binary Demand
Binary Demand
Data is the fuel to any successful sales and marketing strategy. Data deteriorates by 2% every month. The relevance of your data collated via email marketing naturally degrade by about 22.5% every year. The absence of accurate data can make or break a business’s marketing strategy. Therefore, the need of an accurate live database becomes indispensable. Binary Demands’ global contact database can help you overhaul your marketing campaigns and strategies. Your collated data deteriorates over a period of time. Binary Demand provides custom solutions to prevent wastage of your data by making up for its natural degradation. Our customised data solutions include standardisation, de-duping, cleansing, verification etc. This helps in creating a list of probable customers based of criterias such as geography, company size, job titles, industry, etc. Our high accuracy and low cost model makes us the best ROI generating list partner in the marketplace. -
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Mongoose
Mongoose
Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Now say we like fuzzy kittens and want to record every kitten we ever meet in MongoDB. The first thing we need to do is include mongoose in our project and open a connection to the test database on our locally running instance of MongoDB. We have a pending connection to the test database running on localhost. We now need to get notified if we connect successfully or if a connection error occurs. Mongoose documents represent a one-to-one mapping to documents as stored in MongoDB. Each document is an instance of its Model. Subdocuments are documents embedded in other documents. In Mongoose, this means you can nest schemas in other schemas. Mongoose has two distinct notions of subdocuments: arrays of subdocuments and single nested subdocuments. -
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DataPreparator
DataPreparator
DataPreparator is a free software tool designed to assist with common tasks of data preparation (or data preprocessing) in data analysis and data mining. DataPreparator can assist you with exploring and preparing data in various ways prior to data analysis or data mining. It includes operators for cleaning, discretization, numeration, scaling, attribute selection, missing values, outliers, statistics, visualization, balancing, sampling, row selection, and several other tasks. Data access from text files, relational databases, and Excel workbooks. Handling of large volumes of data (since data sets are not stored in the computer memory, with the exception of Excel workbooks and result sets of some databases where database drivers do not support data streaming). Stand alone tool, independent of any other tools. User friendly graphical user interface. Operator chaining to create sequences of preprocessing transformations (operator tree). Creating of model tree for test/execution data. -
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SAS MDM
SAS
Integrate master data management technologies with those in SAS 9.4. SAS MDM is a web-based application that is accessed through the SAS Data Management Console. It provides a single, accurate and unified view of corporate data, integrating information from various data sources into one master record. SAS® Data Remediation and SAS® Task Manager work together with SAS MDM and as well as with other software offerings, such as SAS® Data Management and SAS® Data Quality. SAS Data Remediation enables users to manage and correct issues triggered by business rules in SAS MDM batch jobs and real-time processes. SAS Task Manager is a complementary application to others that integrate with SAS Workflow technologies giving users direct access to a workflow that might have been initiated from another SAS application. Users can start, stop, and transition workflows that have been uploaded to the SAS Workflow server environment. -
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Zaloni Arena
Zaloni
End-to-end DataOps built on an agile platform that improves and safeguards your data assets. Arena is the premier augmented data management platform. Our active data catalog enables self-service data enrichment and consumption to quickly control complex data environments. Customizable workflows that increase the accuracy and reliability of every data set. Use machine-learning to identify and align master data assets for better data decisioning. Complete lineage with detailed visualizations alongside masking and tokenization for superior security. We make data management easy. Arena catalogs your data, wherever it is and our extensible connections enable analytics to happen across your preferred tools. Conquer data sprawl challenges: Our software drives business and analytics success while providing the controls and extensibility needed across today’s decentralized, multi-cloud data complexity. -
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Oracle Infinity
Oracle
Collect digital behaviors in real time, apply intelligence to that data, and offer recommended actions to enhance the digital customer experience—at the exact right moment. Oracle Infinity Behavioral Intelligence optimizes a customer’s digital journey in real time, making their online experience highly relevant and personalized. Harness customer behaviors as they happen and use them to optimize customer experience. Increase engagement and loyalty by providing the content, offers, and promotions that resonate best with each visitor, customer, or prospect. Use a system that will grow with you. Built on an innovative, big data platform, Oracle Infinity is a digital intelligence solution that offers unparalleled data collection and accessibility. Gather data about each customer at an individual level to better understand behaviors and deliver more personalized experiences. Stream your online behavioral data into one, unified location. -
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Inmagic DB/TextWorks
Lucidea
Inmagic DB/TextWorks combines a database management system with powerful search capabilities, and can be customized and managed by non-IT staff to organize information and share knowledge throughout an organization. Inmagic® DB/TextWorks® is a special combination of database and text retrieval software that enables you to build “textbases” (text / multi-media databases) to manage diverse types of information including bibliographic catalogs, documents, images, multimedia, etc. DB/TextWorks runs on Windows Operating systems and can be used on a single PC or in a networked environment. DB/TextWorks texbases can be made web accessible via DB/Text WebPublisher PRO. DB/TextWorks combines a database management system and a text retrieval system. It’s easy to use and does not require any programming. This combination delivers a powerful, flexible system that can be used by non-IT staff to organize information and share knowledge throughout an organization. -
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Apache Storm
Apache Software Foundation
Apache Storm is a free and open source distributed realtime computation system. Apache Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Apache Storm is simple, can be used with any programming language, and is a lot of fun to use! Apache Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Apache Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate. Apache Storm integrates with the queueing and database technologies you already use. An Apache Storm topology consumes streams of data and processes those streams in arbitrarily complex ways, repartitioning the streams between each stage of the computation however needed. Read more in the tutorial. -
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Assure Security
Precisely
Assure Compliance Monitoring is a bundle of Assure Security features. Together, they can quickly identify security and compliance issues by producing alerts and reports on IBM i system activity, database changes and views of Db2 data. The bundle includes two features which are also available separately. Assure Monitoring and Reporting seamlessly extracts insights from IBM i journal data and delivers alerts and reports on security incidents and compliance deviations. System and database monitoring capabilities are available separately or together. Or, choose to send data directly to your enterprise SIEM solution allowing IBM i security to be monitored with all other enterprise platforms. Assure Db2 Data Monitor is a unique, innovative solution that monitors views of highly confidential Db2 data and optionally blocks records from view. Assure Security delivers market-leading IBM i security capabilities that help your organization successfully comply with cybersecurity regulations. -
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Prosperoware CAM
Prosperoware
CAM fixes the challenges, mitigates the risks, and reduces the costs of using multiple collaboration systems, making it easier to provision, classify, protect, move and minimize data for project & relationship-based organizations. CAM streamlines the process of managing & governing data, making it accessible, secure and compliant. CAM minimizes the chaos of data spread across systems, making it easier for users to place documents in the right place and for risk management teams to understand context. Quickly provision Teams, Channels, workspaces, folders, & documents automatically or through a human workflow across systems. Apply rich metadata to help end users locate data & risk management teams to understand document context. Gain naming templates to create standardized naming for different groups and teams. Transform the way you protect your data. Manage internal & external users and groups across systems, assign relevant roles and permissions, & grant permissions or restrictions. -
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e-Safe Compliance
e-Safe Systems
We offer a quick, yet comprehensive assessment to identify and measure risky user actions and offer suggestions on how they can be plugged before they cause damage. e-Safe Compliance is a purpose-built compliance solution that covers all the criteria of major regulations to make sure that your company is completely safe. Traditional DLP relies rigid blocking schemes, which hinder productivity. e-Safe’s People-Centric DLP implements a protection regime based on education, trust, and verification, while ensuring key information remains secure using multi-level encryption. Malicious user actions are detected using machine learning user behaviour analytics, and detection time is greatly reduced by empowering the information owners themselves to be part of the monitoring process. It has been shown time and time again that the biggest threat to the security of sensitive data is human error. -
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Integrate and automate best-of-breed data security solutions. Take control of your destiny. With Seclore’s Data-Centric Security Platform you can unify best-of-breed Data-Centric Security solutions into a cohesive, automated framework without added integration costs. While DLP, Classification, and Rights Management each have their strengths, together they ensure documents are properly protected and tracked wherever they travel. And let’s not forget your existing Enterprise systems! EFSS, eMail, ECM, Directories, and SIEM can be easily added to the framework to further automate the process. Seamlessly unite best-in-class DLP, Data Classification, Rights Management and SIEM systems into an automated process for superior information security without added integration costs. The Seclore Unified Policy Manager enables you to orchestrate identity management, policy management, connectivity, encryption, and the collection of document usage insights.
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PingDataGovernance
Ping Identity
Digital transactions and data are exploding, but authorization logic is scattered across your enterprise. Updating, auditing and managing that logic can be tedious or even impossible. PingDataGovernance provides centralized authorization policies that can evaluate identity attributes, entitlements, consents, the requesting app or other contextual information to authorize critical actions and the retrieval of high-value data. You’ll have the agility to react instantly without sacrificing security or regulatory compliance. Anyone can update policies in minutes with a simple drag-and-drop UI. And you can choose which teams it’s most appropriate to give access to so they can manage policies—or any portion of them. Unlike traditional role-based access control (RBAC), dynamic authorization assembles key contextual data attributes and evaluates the validity of access requests in real time. This lets you centrally enforce policies to comply with regulatory requirements. -
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upSWOT
upSWOT
Understand a business’s issues, needs, and entire financial history at a glance to become an invaluable part of their future. Gain visibility into key metrics from the leading financial apps with tools to compare trends and evaluate performance of the business customers in real-time. With seamless integration and automated analysis, identifying opportunities and problem areas has never been easier — allowing banks to offer personalized service like never before. All the clunky application processes and data sharing that consume small to mid-sized businesses (SMBs) are now quick and frictionless. Send highly-personalized sales offers based on an up-to-date analysis of all the issues and opportunities that arise for businesses. With an easy-to-consume view of their business customers’ full financial history, banks can help them make smarter business decisions for the future. -
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Oracle Data Safe
Oracle
Data Safe is a unified control center for your Oracle Databases which helps you understand the sensitivity of your data, evaluate risks to data, mask sensitive data, implement and monitor security controls, assess user security, monitor user activity, and address data security compliance requirements. Whether you’re using Oracle Autonomous Database. Oracle Database Cloud Service (exadata, virtual machine, or bare metal), or Oracle Databases on-premises in your own data center, Data Safe delivers essential data security capabilities that help you reduce risk and improve security. Assess user risk by highlighting critical users, roles and privileges. Configure audit policies and collect user activity to identify unusual behavior. Discover sensitive data and understand where it is located. Remove risk from non-production data sets by masking sensitive data. -
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Okera
Okera
Okera, the Universal Data Authorization company, helps modern, data-driven enterprises accelerate innovation, minimize data security risks, and demonstrate regulatory compliance. The Okera Dynamic Access Platform automatically enforces universal fine-grained access control policies. This allows employees, customers, and partners to use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives. Okera began development in 2016 and now dynamically authorizes access to hundreds of petabytes of sensitive data for the world’s most demanding F100 companies and regulatory agencies. The company is headquartered in San Francisco. -
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BMC Test Data Management
BMC Software
BMC Compuware offers a comprehensive Test Data Management solution which includes an end-to-end combination of the technology, expertise, and best practices needed to support a data protection and optimization initiative across the enterprise. By implementing a TDM solution, an organization can reduce its risk of exposure, increase productivity, and reduce the overall test data footprint, all while lowering the cost of managing data. BMC Compuware Test Data Management Best Practice is one of the key components of the solution. It provides the guiding principles to build or enhance the process of preparing secure data environments to support the IT functions related to the usage and delivery of data in production-like conditions such as testing, training, etc. It allows for right-sized, desensitized, on-demand data. The solution allows for the diverse technical, organizational and political challenges associated with the protection of proprietary information. -
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Tonic
Tonic
Tonic automatically creates mock data that preserves key characteristics of secure datasets so that developers, data scientists, and salespeople can work conveniently without breaching privacy. Tonic mimics your production data to create de-identified, realistic, and safe data for your test environments. With Tonic, your data is modeled from your production data to help you tell an identical story in your testing environments. Safe, useful data created to mimic your real-world data, at scale. Generate data that looks, acts, and feels just like your production data and safely share it across teams, businesses, and international borders. PII/PHI identification, obfuscation, and transformation. Proactively protect your sensitive data with automatic scanning, alerts, de-identification, and mathematical guarantees of data privacy. Advanced sub setting across diverse database types. Collaboration, compliance, and data workflows — perfectly automated. -
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Wavo
Wavo
We’ve released a revolutionary big data platform that gathers all information about a music business, providing a single source of truth for decisions. Every music business has hundreds of data sources. But they are siloed and fragmented. Our platform identifies and connects them to build a foundation of quality data that can be applied to all daily music business operations. To work efficiently and securely—and to surface valuable insight no one else can—record labels and agencies require a sophisticated data management and governance system, so that data is available, relevant, and usable at all times. As data sources are ingested into Wavo’s Big Data Platform, machine learning is deployed to tag data based on personalized templates, making it easy to access and drill-down into important information. This enables everyone in a music business to activate and deliver business-ready data, backed up and organized for immediate value. -
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NetOwl Extractor
NetOwl
NetOwl Extractor offers highly accurate, fast, and scalable entity extraction in multiple languages using AI-based natural language processing and machine learning technologies. NetOwl's named entity recognition software can be deployed on premises or in the cloud, enabling a variety of Big Data Text Analytics applications. With over 100 types of entities, NetOwl offers a broad semantic ontology for entity extraction that goes beyond that of standard named entity extraction software. It includes people, various types of organizations (e.g., companies, governments), several types of places (e.g., countries, cities), addresses, artifacts, phone numbers, titles, etc. This expansive named entity recognition (NER) forms the foundation for more advanced relationship extraction and event extraction. Domains include Business, Finance, Politics, Homeland Security, Law Enforcement, Military, National Security, and Social Media. -
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NetOwl NameMatcher
NetOwl
NetOwl NameMatcher, the winner of the MITRE Multicultural Name Matching Challenge, offers the most accurate, fast, and scalable name matching available. Using a revolutionary machine learning-based approach, NetOwl addresses complex fuzzy name matching challenges. Traditional name matching approaches, such as Soundex, edit distance, and rule-based methods, suffer from both precision (false positives) and recall (false negative) problems in addressing the variety of fuzzy name matching challenges discussed above. NetOwl applies an empirically driven, machine learning-based probabilistic approach to name matching challenges. It derives intelligent, probabilistic name matching rules automatically from large-scale, real-world, multi-ethnicity name variant data. NetOwl utilizes different matching models optimized for each of the entity types (e.g., person, organization, place) In addition, NetOwl performs automatic name ethnicity detection as well. -
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Omeda
Omeda
The first step to a unified view of your audience is harnessing the vast amounts of data in your diverse portfolio of media, events and subscription products. Bring all your data together to create a single view of the audience and optimize your financial opportunities. With a comprehensive view of your audience's engagement, you can streamline your efforts to monitor audience data and ensure more accurate marketing decisions. Omeda helps you create new products and platforms starting with the right audience segments and targets. And we can integrate into your key Adtech and CRM platforms. Increase revenue and improve yield by effectively deploying programs across owned and operated brands and extending audience offers with omni-channel programs. Omeda is committed to answering all of your data and business questions, even when you’re burning the midnight oil. Our technical support consultants are there 24/7 to provide world-class service and help you make the most of your experience. -
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Solvas Digitize
Alter Domus Data Solutions Inc.
Solvas Digitize is an intelligent document processing solution designed to help financial organizations manage complex documentation with greater accuracy and efficiency. By fully automating document intake, data extraction, validation, and reconciliation, it transforms unstructured, semi-structured, and structured documents into clean, ready-to-use information. The system centralizes every step of the workflow, allowing teams to control extraction quality, resolve missing data quickly, and eliminate manual errors. Its above-industry-average accuracy delivers reliable digitized data that supports faster, more strategic decision-making. As a managed service, Solvas Digitize combines advanced technology with expert support, reducing operational burden and eliminating the need for large capital investments. It is built to handle high-volume, high-complexity documents across investor reporting, accounting, compliance, and portfolio management use cases.
