Best Data Management Software for Apache Tomcat
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Compare the Top Data Management Software that integrates with Apache Tomcat as of July 2025
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This a list of Data Management software that integrates with Apache Tomcat. Use the filters on the left to add additional filters for products that have integrations with Apache Tomcat. View the products that work with Apache Tomcat in the table below.
What is Data Management Software for Apache Tomcat?
Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for Apache Tomcat currently available using the table below. This list is updated regularly.
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1
Parasoft
Parasoft
Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting embedded and enterprise markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.Starting Price: $125/user/mo -
2
Tibero
TmaxSoft
Tibero is a relational model-based standard DBMS that has been developed with stable architecture that requires minimal resources from the design step. It allows to efficiently respond to big data processing requests from massive sessions. In addition, it provides a flexible and user-friendly development and easy operating environment based on standards and compatibility. - Multi-Process, multi-thread architecture and various data processing technologies, which support reliable and effective resource management and rapidly process multi-user requests. 1. Shared-disk based active clustering that assures high availability and reliability. 2. Development environment compatibility in compliance with standards. -
3
Wiiisdom Ops
Wiiisdom
In today’s world, leading organizations are leveraging data to win over their competitors, ensure customer satisfaction and find new business opportunities. At the same time, industry-specific regulations and data privacy rules are challenging traditional technologies and processes. Data quality is now a must-have for any organization but it often stops at the doors of the BI/analytics software. Wiiisdom Ops helps your organization ensure quality assurance within the analytics component, the last mile of the data journey. Without it, you’re putting your organization at risk, with potentially disastrous decisions and automated disasters. BI Testing at scale is impossible to achieve without automation. Wiiisdom Ops integrates perfectly into your CI/CD pipeline, guaranteeing an end-to-end analytics testing loop, at lower costs. Wiiisdom Ops doesn’t require engineering skills to be used. Centralize and automate your test cases from a simple user interface and share the results. -
4
Societeinfo
Societeinfo
Societeinfo’s Web Data module gives access to France’s most comprehensive web-to-SIREN repository, scraping and indexing millions of websites and social profiles linked to over 1.3 million SIREN numbers and updated daily with full GDPR compliance. Users can retrieve URLs, site descriptions, primary keywords, technology stacks (CMS, servers, ecommerce platforms, analytics, and marketing tools), social media accounts, and key metrics (follower counts, domain age, Alexa rank) across LinkedIn, Facebook, and Twitter. Intelligent filters enable precise segmentation by technology, web performance indicators, social presence, and geolocation, while natural-language and API-driven search, autocomplete, and high-volume services streamline prospecting workflows. Results can be enriched directly in CRMs via automated mapping, embedded modules, or exports to CSV. Customizable dashboards and real-time monitoring empower sales, marketing, and CRM teams to identify, qualify, and target prospects.Starting Price: €39 per month -
5
Spring Cloud Data Flow
Spring
Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.
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