Best Data Management Software for Apache Groovy
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Compare the Top Data Management Software that integrates with Apache Groovy as of July 2025
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This a list of Data Management software that integrates with Apache Groovy. Use the filters on the left to add additional filters for products that have integrations with Apache Groovy. View the products that work with Apache Groovy in the table below.
What is Data Management Software for Apache Groovy?
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 Groovy 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
DataGrip
JetBrains
Meet DataGrip, our new database IDE that is tailored to suit the specific needs of professional SQL developers. Allows you to execute queries in different modes and provides a local history that keeps track of all your activity and protects you from losing your work. Lets you jump to any table, view, or procedure by its name via the corresponding action, or directly from its usages in the SQL code. Gives you an extended insight into how your queries work and into the database engine behavior, so you can make your queries more efficient. DataGrip provides context-sensitive code completion, helping you to write SQL code faster. Completion is aware of the tables structure, foreign keys, and even database objects created in code you're editing. DataGrip detects probable bugs in your code and suggests the best options to fix them on the fly. It will immediately let you know about unresolved objects, using keywords as identifiers and always offers a way to fix the problems.Starting Price: $199 per year -
3
AnyChart
AnyChart
AnyChart is an award-winning, flexible JavaScript (HTML5) charting library designed to cover all your needs in data visualization across platforms. Create interactive, beautiful charts, maps, and dashboards for any web, mobile, or standalone project. Designed for developers and businesses alike, AnyChart offers massive out-of-the-box capabilities, supporting 90+ chart types — from line and bar charts to Gantt charts, stock charts, and geospatial visualizations. It easily integrates with any technology stack and connects to any data source. Whether enhancing reports, embedding dashboards into SaaS or on-premises systems, or building entirely new solutions, AnyChart delivers flexibility, simplicity, and powerful results fast. Fully customizable and responsive, it ensures your visuals look great on any device. Trusted by Fortune 500 companies and thousands of developers worldwide. Start creating professional charts, maps, and dashboards with ease — download AnyChart JS today!Starting Price: $49 -
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Apache TinkerPop
Apache Software Foundation
Apache TinkerPop™ is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). Gremlin is the graph traversal language of Apache TinkerPop. Gremlin is a functional, data-flow language that enables users to succinctly express complex traversals on (or queries of) their application's property graph. Every Gremlin traversal is composed of a sequence of (potentially nested) steps. A graph is a structure composed of vertices and edges. Both vertices and edges can have an arbitrary number of key/value pairs called properties. Vertices denote discrete objects such as a person, a place, or an event. Edges denote relationships between vertices. For instance, a person may know another person, have been involved in an event, and/or have recently been at a particular place. If a user's domain is composed of a heterogeneous set of objects (vertices) that can be related to one another in a multitude of ways (edges).Starting Price: Free -
5
Kestra
Kestra
Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways.
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