Best Data Management Software - Page 96
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Compare the Top Data Management Software as of June 2026 - Page 96
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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. -
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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. -
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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. -
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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
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. -
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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. -
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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. -
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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. -
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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. -
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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
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. -
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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
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’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 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
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
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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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.
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Zetaris
Zetaris
Rather than uploading the data to a central place to analyze it, Zetaris enables instant analytics across all your data, now. This means you can connect multiple databases and analyze them together in real-time, without the time and cost (and fail rate) associated with moving the data to a central location. Our unique analytical query optimizer ensures speed and scalability for whatever query is being run, across any combination of data sources. Ensure data governance and security by not moving data, and analyzing it at its source. Don't move the data. No data extraction, no data transformation, no copying of data to another repository. Remove unnecessary storage, processing and support costs, thanks to zero data duplication. -
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StreamScape
StreamScape
Make use of Reactive Programming on the back-end without the need for specialized languages or cumbersome frameworks. Triggers, Actors and Event Collections make it easy to build data pipelines and work with data streams using simple SQL-like syntax, shielding users from the complexities of distributed system development. Extensible Data Modeling is a key feature that supports rich semantics and schema definition for representing real-world things. On-the-fly validation and data shaping rules support a variey of formats like XML and JSON, allowing you to easily describe and evolve your schema, keeping pace with changing business requirements. If you can describe it, we can query it. Know SQL and Javascript? Then you already know how to use the data engine. Whatever the format, a powerful query language lets you instantly test logic expressions and functions, speeding up development and simplifying deployment for unmatched data agility. -
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Teradata QueryGrid
Teradata
Deploying multiple analytic engines means best-fit engineering, so QueryGrid lets users leverage the right tool for the job. SQL is the language of business, and QueryGrid delivers unparalleled SQL access across commercial and open source analytical engines. Built for a hybrid multi-cloud reality, Vantage solves the world’s most complex data challenges at scale. Software that delivers autonomy, visibility, and insights to keep pace with changing customer demand. -
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CluedIn
CluedIn
CluedIn has the quickest implementation time of any master data management platform on the market. CluedIn has transformed traditional MDM into an augmented experience. Less manual work. Better results. This is simply impossible with traditional MDM. CluedIn has revolutionized a new type of MDM with no restrictions. CluedIn has been designed to remove the standard complexities with traditional MDM. CluedIn is a cloud-native Master Data Management platform that was built to run at low cost. Enterprise software that has the onboarding simplicity of buying a SAAS platform. Whereas traditional MDM vendors will ask you to stitch together different products into an end to end story, we have stitched together the common pillars of master data management for you. We took a knife to traditional master data management and came out the other side with techniques that automate the hardest parts of the process and render traditional approaches as obsolete.Starting Price: $28,500 per year -
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Fraxses
Intenda
There are many products on the market that can help companies to do this, but if your priorities are to create a data-driven enterprise and to be as efficient and cost-effective as possible, then there is only one solution you should consider: Fraxses, the world’s foremost distributed data platform. Fraxses provides customers with access to data on demand, delivering powerful insights via a solution that enables a data mesh or data fabric architecture. Think of a data mesh as a structure that can be laid over disparate data sources, connecting them, and enabling them to function as a single environment. Unlike other data integration and virtualization platforms, the Fraxses data platform has a decentralized architecture. While Fraxses fully supports traditional data integration processes, the future lies in a new approach, whereby data is served directly to users without the need for a centrally owned data lake or platform. -
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Infinidat Elastic Data Fabric
Infinidat
The consumer datasphere’s huge growth over the past decade is now being overshadowed by exponential growth rates in business data. This presents unprecedented opportunities and challenges for enterprises and cloud service providers, requiring a fundamentally new approach to building and scaling storage infrastructure. Infinidat Elastic Data Fabric is our vision for the evolution of enterprise storage from traditional hardware appliances into elastic data center-scale pools of high-performance, highly reliable, low-cost digital storage with seamless data mobility within the data center and the public cloud. Today, enterprise technologists in every industry are facing a similar dilemma, thanks to the tsunami of digital transformation. Traditional hardware-based storage arrays are expensive, hard to manage, and orders of magnitude too small for the coming data age. They must, therefore, evolve into something new: softwaredefined on-premises enterprise storage clouds. -
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Doc.Mobility
Doc.Series
Access your documents in comfort, anywhere and without wasting time, thanks to the Doc.Mobility solution. No matter where you are, you can easily find and view documents on screen. Doc.Mobility allows you to connect from a mobile device (tablet or smartphone) in order to access the electronic document management application to consult information, access your tasks and produce documents. This module allows you to work comfortably while roaming. All these functions are carried out in compliance with the security policies of the companies. The use of a protocol encrypting data during the connection between your electronic document management system and your tablet or smartphone ensures secure transmission of data and documents. With Doc.Mobility, you use all the user-friendly functions and ergonomics of the interface of your tablet or smartphone. You browse, select actions with your fingertips, you zoom with your thumb and forefinger as you are used to on your mobile devices. -
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Oracle TimesTen
Oracle
Oracle TimesTen In-Memory Database (TimesTen) delivers real time application performance (low response time and high throughput) by changing the assumptions around where data resides at runtime. By managing data in memory, and optimizing data structures and access algorithms accordingly, database operations execute with maximum efficiency achieving dramatic gains in responsiveness and throughput. With the introduction of TimesTen Scaleout, a shared nothing scale-out architecture based on the existing in-memory technology, TimesTen allows databases to transparently scale across dozens of hosts, reach hundreds of terabytes in size and support hundreds of millions of transactions per second without the need for manual database sharding or workload partitioning. -
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Apache Geode
Apache
Build high-speed, data-intensive applications that elastically meet performance requirements at any scale. Take advantage of Apache Geode's unique technology that blends advanced techniques for data replication, partitioning and distributed processing. Apache Geode provides a database-like consistency model, reliable transaction processing and a shared-nothing architecture to maintain very low latency performance with high concurrency processing. Data can easily be partitioned (sharded) or replicated between nodes allowing performance to scale as needed. Durability is ensured through redundant in-memory copies and disk-based persistence. Super fast write-ahead-logging (WAL) persistence with a shared-nothing architecture that is optimized for fast parallel recovery of nodes or an entire cluster. -
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Ehcache
Terracotta
Ehcache is an open source, standards-based cache that boosts performance, offloads your database, and simplifies scalability. It's the most widely-used Java-based cache because it's robust, proven, full-featured, and integrates with other popular libraries and frameworks. Ehcache scales from in-process caching, all the way to mixed in-process/out-of-process deployments with terabyte-sized caches. Terracotta actively develops, maintains, and supports Ehcache as a professional open source project available under an Apache 2.0 license. Contributors are welcome to join our community. -
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Apache Superset
Apache
Superset is fast, lightweight, intuitive, and loaded with options that make it easy for users of all skill sets to explore and visualize their data, from simple line charts to highly detailed geospatial charts. Superset can connect to any SQL based datasource through SQLAlchemy, including modern cloud native databases and engines at petabyte scale. Superset is lightweight and highly scalable, leveraging the power of your existing data infrastructure without requiring yet another ingestion layer. -
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LevelDB
Google
LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values. Keys and values are arbitrary byte arrays. Data is stored sorted by key. Callers can provide a custom comparison function to override the sort order. Multiple changes can be made in one atomic batch. Users can create a transient snapshot to get a consistent view of data. Forward and backward iteration is supported over the data. Data is automatically compressed using the Snappy compression library. External activity (file system operations etc.) is relayed through a virtual interface so users can customize the operating system interactions. We use a database with a million entries. Each entry has a 16 byte key, and a 100 byte value. Values used by the benchmark compress to about half their original size. We list the performance of reading sequentially in both the forward and reverse direction, and also the performance of a random lookup.
