Best Data Management Software - Page 93

Compare the Top Data Management Software as of February 2026 - Page 93

  • 1
    Foghub

    Foghub

    Foghub

    Simplified IT/OT Integration, Data Engineering & Real-Time Edge Intelligence. Easy to use, cross-platform, open architecture, edge computing for industrial time-series data. Foghub offers the Critical-Path to IT/OT convergence, connecting Operations (Sensors, Devices, and Systems) with Business (People, Processes, and Applications), enabling automated data acquisition, data engineering, transformations, advanced analytics and ML. Handle large variety, volume, and velocity of industrial data with out-of-the-box support for all data types, most popular industrial network protocols, OT/lab systems, and databases. Easily automate the collection of data about your production runs, batches, parts, cycle-times, process parameters, asset condition, performance, health, utilities, consumables as well as operators and their performance. Designed for scale, Foghub offers a comprehensive set of capabilities to handle large volumes and velocity of data.
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    Eclipse Streamsheets
    Build professional applications to automate workflows, continuously monitor operations, and control processes in real-time. Your solutions run 24/7 on servers in the cloud and on the edge. Thanks to the spreadsheet user interface, you do not have to be a software developer. Instead of writing program code, you drag-and-drop data, fill cells with formulas, and design charts in a way you already know. Find all necessary protocols on board that you need to connect to sensors, and machines like MQTT, REST, and OPC UA. Streamsheets is native to stream data processing like MQTT and kafka. Pick up a topic stream, transform it and blast it back out into the endless streaming world. REST opens you the world, Streamsheets let you connect to any web service or let them connect to you. Streamsheets run in the cloud, on your servers, but also on edge devices like a Raspberry Pi.
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    Io-Tahoe

    Io-Tahoe

    Io-Tahoe

    Thinking data automation 'first' enables your company to move faster and more effectively to making digital transformation a reality in the enterprise. Data Automation helps you serve customers better. It enables you to operate more efficiently. It unburdens your employees from mundane, repetitive work, allowing them to focus on solving problems and creating value. Accelerate data projects by enabling non-IT resources and data experts to consolidate, categorize,and master data. Power digital transformations by automating a significant portion of data management through human-guided machine learning. Increase the velocity of business outcomes with complete, accurate data curated automatically for data visualization tools and analytic insights. It works with your company’s core systems and existing applications, and automates data management, communication and response triggering. Once in place, Data Automation by Io-Tahoe delivers repetitive, high-volume data tasks efficiently.
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    Framework

    Framework

    Framework

    We know Private Assets. The starting point for effective portfolio reporting and investment data management is centralised, structured data. But it’s surprisingly difficult to achieve this. Our products and services are designed for and used by leading investment organisations in all sectors of the private asset market. Framework’s solution suite provides clients operational efficiencies, dynamic reporting and fluid communication with their stakeholders. Our solution empowers you and your users to determine how your business wants to work. Supporting your business operations, stakeholder objectives and regulatory commitments. Use our robust data engine to process, collate and convert your data into ready to use information. Feed your dashboards, tables and charts from multiple data sources for investment monitoring and analysis.
  • 5
    PostObject Pro

    PostObject Pro

    Damco Solutions

    Copying data from your source object to target object and automatically defining default values for your target object was never so easy and convenient! PostObject Pro empowers users to create a new object record from the source object and automatically copies all the values from the source object to target object as per specified mapping without need for custom code or automation from Administrators/Developers. PostObject Pro empowers users to create a new object record from the source object and automatically copies all the values from the source object to target object as per specified mapping without need for custom code or automation from Administrators. Define the field mappings between two objects and use the mapping to auto-populate the values from source object to target object while creating the target record. Define mappings for the new objects and new fields on the go. Auto-matching of fields based on Field Type, Name and API Name to save mapping time.
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    Magnitude Angles
    Empower your business to answer the questions that matter most with self-service operational analytics and ready-to-run business reports across core processes. What if there was a way to really understand what’s going on in your organization? A way to not only report on events, but to react in real time to insights surfaced from deep within your supply chain, finance, manufacturing and distribution processes? Change the way you respond to the ever-shifting business landscape. Magnitude Angles helps you uncover insights previously locked deep in your SAP or Oracle ERP system and streamlines the data analysis process. Traditional BI tools understand rows, tables, and columns, but they have no concept of materials, orders, or cash. Angles is built on top of a context-aware, process-rich business data model that translates complex ERP data architectures into self-service business analytics, putting data closer to decision and helping turn data into insight, and insight into action.
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    AtlasMap

    AtlasMap

    AtlasMap

    AtlasMap is a data mapping solution with interactive web based user interface, that simplifies configuring integrations between Java, XML, CSV and JSON data sources. You can design your data mapping with AtlasMap Data Mapper UI canvas, and then run that data mapping via runtime engine. In addition to plain Java API provided by runtime engine, camel-atlasmap Component is also available to perform data mapping as a part of Apache Camel route. There is also a Camel Quarkus extension available. The easiest way to use AtlasMap Data Mapper UI is the standalone mode. Or you can use it through a VS Code plugin. Historically, the AtlasMap Data Mapper UI was designed to work within Syndesis UI and it’s still a best way to experience full benefits of integrated typed data mapping with UI. You can install and run Syndesis by following the Syndesis Developer Handbook. You will find the AtlasMap Data Mapper UI under the integrations panel after selecting or adding an integration with a Data Mapper.
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    BridgeHead

    BridgeHead

    BridgeHead

    Helping healthcare organizations to consolidate vital patient, clinical and administrative data, safeguard that information, and make it easily accessible to staff as part of a 360-degree view. Eliminate your data silos by aggregating patient and administrative information from across the healthcare enterprise. Optimize the storage of your healthcare data by utilizing all of your storage assets and reducing the total cost of ownership. Safeguard your healthcare data and ensure efficient recovery in the event of cyber attack, loss, corruption or disaster. Enhance care and improve outcomes by providing your staff with easy access to a 360-degree view of a patient’s history. Retire obsolete or legacy applications while retaining access to the data they contain- saving time, money and resources. Digitally transform your end-to-end clinical testing processes & accelerate testing operations, at scale.
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    Talend Data Integration
    Talend Data Integration lets you connect and manage all your data, no matter where it lives. Use more than 1,000 connectors and components to connect virtually any data source with virtually any data environment, in the cloud or on premises. Easily develop and deploy reusable data pipelines with a drag-and-drop interface that’s 10 times faster than hand-coding. Talend has always supported scaling massive data sets to advanced data analytics or Spark platforms. We also partner with leading cloud service providers, data warehouses, and analytics platforms, including Amazon Web Services, Microsoft Azure, Google Cloud Platform, Snowflake, and Databricks. With Talend, data quality is embedded into every step of the data integration processes. Discover, highlight, and fix issues as data moves through your systems, before inconsistencies can disrupt or impact crucial decisions. Connect to data where it lives, use it where you need it.
  • 10
    Ab Initio

    Ab Initio

    Ab Initio

    Data arrives from every direction, growing in scale and complexity. Hidden in the data is knowledge and insight that is full of potential. Such potential is only fully realized when it permeates through to every decision and action the organization takes, second by second. As the business changes, so does the data itself, resulting in new knowledge and insight. A cycle is formed, learn and adapt. Industries as far ranging as financial services, healthcare, telecommunications, manufacturing, transportation, and entertainment have recognized the opportunity. Getting there is both challenging and exciting. Success demands new levels of speed and agility in understanding, managing, and processing vast amounts of continuously changing data. Complex organizations require a high performance data platform that is built for automation and self-service, that thrives amid change and adapts to new realities, and that can solve the toughest data processing and data management challenges.
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    Alex Solutions

    Alex Solutions

    Alex Solutions

    The Alex Platform is your enterprise’s single source of data and business truth. Alex is a foundational pillar of our customer’s data-driven success. From day one of implementation, Alex is designed to start reducing complexity and creating value immediately. Alex Augmented Data Catalog is powered by the industry’s best machine learning, rapidly providing a unified, enterprise-wide data platform. No matter how complex your technical landscape may be, Alex Data Lineage helps you map and understand your data flows in an automated and secure way. Worldwide teams need worldwide coordination. Alex Intelligent Business Glossary’s beautiful UI and rich functionality is perfect for conducting global collaboration. Combat complexity of the multi-cloud and global enterprise by unifying all definitions, policies, metrics, rules, processes, workflows and more. Power global data governance programs.
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    Amundsen

    Amundsen

    Amundsen

    Discover & trust data for your analysis and models. Be more productive by breaking silos. Get immediate context into the data and see how others are using it. Search for data within your organization by a simple text search. A PageRank-inspired search algorithm recommends results based on names, descriptions, tags, and querying/viewing activity on the table/dashboard. Build trust in data using automated and curated metadata, descriptions of tables and columns, other frequent users, when the table was last updated, statistics, a preview of the data if permitted, etc. Easy triage by linking the ETL job and code that generated the data. Update tables and columns with descriptions, reduce unnecessary back and forth about which table to use and what a column contains. See what data fellow co-workers frequently use, own or have bookmarked. Learn what most common queries for a table look like by seeing dashboards built on a given table.
  • 13
    DataHub

    DataHub

    DataHub

    We help organizations of all sizes to design, develop and scale solutions to manage their data and unleash its potential. At Datahub, we have over thousands of datasets for free and a Premium Data Service for additional or customised data with guaranteed updates. Datahub provides important, commonly-used data as high quality, easy-to-use and open data packages. Securely share and elegantly put data online with quality checks, versioning, data APIs, notifications & integrations. Power and simplicity, data is the fastest way for individuals, teams and organizations to publish, deploy and share structured data. Automate your data processes with our open source framework. Store, share and showcase your data with the world or just privately. Completely open source with professional maintenance and support. End-to-end solution with all parts are fully integrated. Not just tools but a standardized approach and pattern for working with your data.
  • 14
    Debezium

    Debezium

    Debezium

    Debezium is an open source distributed platform for change data capture. Start it up, point it at your databases, and your apps can start responding to all of the inserts, updates, and deletes that other apps commit to your databases. Debezium is durable and fast, so your apps can respond quickly and never miss an event, even when things go wrong. Your data is always changing. Debezium lets your apps react every time your data changes, and you don't have to change your apps that modify the data. Debezium continuously monitors your databases and lets any of your applications stream every row-level change in the same order they were committed to the database. Use the event streams to purge a cache, update search indexes, generate derived views and data, keep other data sources in sync, and much more. In fact, pull that functionality out of your app and into separate services.
  • 15
    Apama

    Apama

    Apama

    Apama Streaming Analytics allows organizations to analyze and act on IoT and fast-moving data in real-time, responding to events intelligently the moment they happen. Apama Community Edition is a freemium version of Apama by Software AG that can be used to learn about, develop and put streaming analytics applications into production. The Software AG Data & Analytics Platform is an end-toend, modular and integrated set of world-class capabilities optimized for high-speed data management and analytics on real-time data and offering out-of-the-box integration and connectivity to all key enterprise data sources. Choose the capabilities you need: streaming, predictive and visual analytics along with messaging for easy integration with other enterprise apps and an in-memory data store for extremely fast access. Integrate historical and other data for comparison—ideal when building models or enriching customer and other vital data.
  • 16
    Sedna

    Sedna

    Sedna

    Sedna is a free native XML database which provides a full range of core database services - persistent storage, ACID transactions, security, indices, hot backup. Flexible XML processing facilities include W3C XQuery implementation, tight integration of XQuery with full-text search facilities and a node-level update language. It provides a number of easy exampes which can be run directly in command line and describes how to run examples provided with Sedna. Sedna distribution comes with an example set based on the XMark XML benchmark. This set allows you to investigate the features of Sedna easily. Examples include bulk load of a sample XML document and a number of sample XQuery queries and updates to this document. Below we will show how to run one of them.
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    Apache Xerces

    Apache Xerces

    The Apache Software Foundation

    Apache Xerces is a collaborative software development project dedicated to providing robust, full-featured, commercial-quality, and freely available XML parsers and closely related technologies on a wide variety of platforms supporting several languages. This project is managed in cooperation with various individuals worldwide (both independent and company-affiliated experts), who use the Internet to communicate, plan, and develop XML software and related documentation. Apache Xerces exists to promote the use of XML. We view XML as a compelling paradigm that structures data as information, thereby facilitating the exchange, transformation, and presentation of knowledge. The ability to transform raw data into usable information has great potential to improve the functionality and use of information systems. We intend to build freely available XML parsers and closely related technologies in order to engender such improvements.
  • 18
    Apache Anakia

    Apache Anakia

    The Apache Software Foundation

    Anakia is potentially easier to learn than XSL, but it maintains a similar level of functionality. Learning cryptic <xsl:> tags is unnecessary; you only need to know how to use the provided Context objects, JDOM, and Velocity's simple directives. Anakia seems to perform much faster than Xalan's XSL processor at creating pages. (23 pages are generated in 7-8 seconds on a PIII 500mhz running Win98 and JDK 1.3 with client Hotspot. A similar system using Ant's <style> task took 14-15 seconds -- nearly a 2x speed improvement.) Anakia -- intended to replace Stylebook, which was originally used to generate simple, static web sites in which all pages had the same look and feel -- is great for documentation/project web sites, such as the sites on www.apache.org and jakarta.apache.org. As it is more targeted to a specific purpose, it does not provide some of XSL's "extra" functionality.
  • 19
    Apache Santuario

    Apache Santuario

    The Apache Software Foundation

    Apache XML Security for Java: This library includes the standard JSR-105 (Java XML Digital Signature) API, a mature DOM-based implementation of both XML Signature and XML Encryption, as well as a more recent StAX-based (streaming) XML Signature and XML Encryption implementation. Ability to set a security provider when using org.apache.xml.security.signature.XMLSignature. Added support for customizing how to parse a Inputstream into a DOM Document.
  • 20
    Apache Xalan

    Apache Xalan

    The Apache Software Foundation

    The Apache Xalan Project develops and maintains libraries and programs that transform XML documents using XSLT standard stylesheets. Our subprojects use the Java and C++ programing languages to implement the XSLT libraries. The Xalan-Java 2.7.2 was released in April 2014. You can download the current release the current Xalan-Java 2.7.2 release for your development. The current work in progress can be found in the subversion repository. The current release fixes a security issue that was registered against version 2.7.1. The old Xalan-J 2.7.1 distributions are still available on the Apache Archives. This is a mature project. There has been some discussion about supporting XPath-2. We could use your support in this major rework of the library. You can follow the efforts and post your own contributions on the Java users and developers mail lists.
  • 21
    Apache Axiom

    Apache Axiom

    The Apache Software Foundation

    The Apache Axiom™ library provides an XML Infoset compliant object model implementation which supports on-demand building of the object tree. It supports a novel "pull-through" model which allows one to turn off the tree building and directly access the underlying pull event stream using the StAX API. It also has built in support for XML Optimized Packaging (XOP) and MTOM, the combination of which allows XML to carry binary data efficiently and in a transparent manner. The combination of these is an easy to use API with a very high performant architecture! Developed as part of Apache Axis2, Apache Axiom is the core of Apache Axis2. However, it is a pure standalone XML Infoset model with novel features and can be used independently of Apache Axis2.
  • 22
    StoredIQ

    StoredIQ

    Breakwater

    StoredIQ for information governance, for legal, for policy management, and StoredIQ InstaScan. StoredIQ provides a holistic solution for addressing data management challenges relating to compliance, e-discovery, records management, storage optimization, and data migration. Robust electronic discovery (eDiscovery) process management from hold notification to identification, preservation, and collection. Intelligent file analysis tool that leverages automation and statistical sampling models to identify risk hot spots in unstructured cloud data. Helps eliminate information management risks by offering centralized retention controls to support your business and legal requirements. By providing an in-depth assessment of unstructured data across the enterprise and where it resides, Breakwater can help your organization implement business-ready data and drive your organization’s digital transformation.
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    Brainwave GRC

    Brainwave GRC

    Radiant Logic

    Brainwave is reinventing the way you analyze your user accesses! You will now be able to thoroughly analyze access risk thanks to a new user interface, predictive controls and risk-scoring functionality. With Autonomous Identity, you can engage your teams and improve their efficiency with a market-approved, ergonomic tool that accelerates your identity management program (IGA). Enable the business to review and make decisions about access to shared files and folders. Inventory, classify, review access and demonstrate compliance regardless of the location, file servers, NAS, Sharepoint, Office 365 and others. Our core product, Brainwave Identity GRC, provides a wealth of analytical capabilities to leverage the inventory of all access. Obtain full visibility at all time, on all resources. Brainwave’s inventory constitutes an entitlement catalog across infrastructure, business applications and data access.
  • 24
    Solvuu

    Solvuu

    Solvuu

    A data science platform for life scientists. Translate your microbiome research into practical applications. Bring novel, safe and effective products to market faster. Integrate the right set of data science and collaboration tools, and achieve rapid advances in cancer therapeutics. Accelerate research, enable innovation and create value by adopting effective digital technology solutions to improve crop productivity. Import your small and big data. Organize according to our templates, or define your own schema. Our format inference algorithm synthesizes parsing functions and lets you override if needed, without coding. Use our interactive import screens or CLI for bulk imports. Your data is not just bytes. Solvuu automatically computes relevant summary statistics and generates rich interactive visualizations. Explore and gain insights into your data immediately; slice and dice as needed.
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    OpenHexa

    OpenHexa

    Bluesquare

    Understanding health issues often requires combining complex and heterogeneous data sources, even in the context of single-country interventions. Data can come from HMIS platforms such as DHIS2, from individual tracking systems, from custom software built to address specific issues, or from various Excel reports provided by health experts. Having such diverse data in disconnected silos is often the biggest obstacle to an efficient exploration and analysis process. It also makes collaboration difficult, and many data analysts working on health data end up developing ad-hoc scripts and visualisations on their own laptops and communicating their results in scattered publications from which it is hard to get unified insights. To address this issue, Bluesquare has built OpenHexa, a cloud-based data integration platform consisting of three components, extraction, analysis & visualization. This platform is mostly based on mature open-source technologies.
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    Ecosteer

    Ecosteer

    Ecosteer

    Ecosteer’s expertise in data ownership allows companies to turn data and privacy compliance into growth opportunities. By applying an entirely new, decentralized approach to consent management, Ecosteer patented encryption schemes allow data owners to directly control who can access their information, automating compliance with privacy laws Separating access control from visibility control, Ecosteer technologies enables neutral data intermediaries, free from cost and legal liabilities related to traditional centralized consent management. Businesses can securely share data across systems and stakeholders without the complexities of traditional centralized frameworks. Offered as a software license, Ecosteer’s scalable technologies are adaptable to any data source or use case. Our systems maintain seamless functionality as data exchanges grow, ensuring long-term reliability.
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    Apache Kylin

    Apache Kylin

    Apache Software Foundation

    Apache Kylin™ is an open source, distributed Analytical Data Warehouse for Big Data; it was designed to provide OLAP (Online Analytical Processing) capability in the big data era. By renovating the multi-dimensional cube and precalculation technology on Hadoop and Spark, Kylin is able to achieve near constant query speed regardless of the ever-growing data volume. Reducing query latency from minutes to sub-second, Kylin brings online analytics back to big data. Kylin can analyze 10+ billions of rows in less than a second. No more waiting on reports for critical decisions. Kylin connects data on Hadoop to BI tools like Tableau, PowerBI/Excel, MSTR, QlikSense, Hue and SuperSet, making the BI on Hadoop faster than ever. As an Analytical Data Warehouse, Kylin offers ANSI SQL on Hadoop/Spark and supports most ANSI SQL query functions. Kylin can support thousands of interactive queries at the same time, thanks to the low resource consumption of each query.
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    Q-Bot

    Q-Bot

    bi3 Technologies

    Qbot is an Automated test engine, purpose build for data quality. It enabling large, complex data platform but environment & ETL or Database technology agnostic. It can be used for ETL Testing, ETL platform upgrades, Database Upgrades, Cloud migration or Big Data migration Qbot deliver trusted quality data at the speed you never seen before. One of the most comprehensive Data quality automation engines built with: data security, scalability, speed and most extensive test library. Here the user can directly pass the SQL Query while configuring the test group. We currently support the below database servers for source and target database tables.
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    SSAS

    SSAS

    Microsoft

    Installed as an on-premises server instance, SQL Server Analysis Services supports tabular models at all compatibility levels (depending on version), multidimensional models, data mining, and Power Pivot for SharePoint. A typical implementation workflow includes installing a SQL Server Analysis Services instance, creating a tabular or multidimensional data model, deploying the model as a database to a server instance, processing the database to load it with data, and then assigning permissions to allow data access. When ready to go, the data model can be accessed by any client application supporting Analysis Services as a data source. Models are populated with data from external data systems, usually data warehouses hosted on a SQL Server or Oracle relational database engine (Tabular models support additional data source types).
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    IBM InfoSphere Optim
    By managing data properly over its lifetime, organizations are better equipped to support business goals with less risk. Archive data from decommissioned applications and historical transaction records, while providing ongoing access to the data for query and reporting that is compliant with retention regulations. Scale data across applications, databases, operating systems and hardware platforms to help secure your test environments, accelerate release cycles and reduce costs. Lack of data archiving can impair the performance of mission-critical enterprise systems. Solve data growth problems at the source, improve efficiency and minimize the risks associated with managing structured data throughout its lifetime. Protect unstructured data in testing, development and analytics environments across the enterprise. Lack of data archiving can impair the performance of mission-critical enterprise systems. Solve data growth problems at the source, improve efficiency and minimize the risks.