Compare the Top Data Management Software that integrates with LDAP as of June 2025

This a list of Data Management software that integrates with LDAP. Use the filters on the left to add additional filters for products that have integrations with LDAP. View the products that work with LDAP in the table below.

What is Data Management Software for LDAP?

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 LDAP currently available using the table below. This list is updated regularly.

  • 1
    Percona Server for MongoDB
    Percona Server for MongoDB is a free and open-source drop-in replacement for MongoDB Community Edition. It combines all the features and benefits of MongoDB Community Edition with enterprise-class features from Percona. Built on the MongoDB Community Edition, Percona Server for MongoDB provides flexible data structure, native high availability, easy scalability, and developer-friendly syntax. It also includes an in-memory engine, hot backups, LDAP authentication, database auditing, and log redaction.
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    Starting Price: Free
  • 2
    Yandex Managed Service for GitLab
    A service for managing the GitLab DevOps platform on Yandex Cloud infrastructure. Each GitLab instance is hosted on a separate virtual server. There’s no need to share it with other clients. Backups are created every day, so you can be sure your data is always safe. Management, support, updates, and backups are entirely handled by Yandex Cloud. Full control over changes to the repository. Customize the process of mandatory reviews depending on the target branch and the composition of the merge request. Full control over work on each task. Manage users centrally, using a corporate user base via LDAP or other authentication protocols. Choose the required configuration, enter a unique domain, and create an instance. Create an instance, set up a runtime environment, and begin working with the repository.
    Starting Price: $0.012240 per GB
  • 3
    Symas LMDB

    Symas LMDB

    Symas Corporation

    Symas LMDB is an extraordinarily fast, memory-efficient database we developed for the OpenLDAP Project. With memory-mapped files, it has the read performance of a pure in-memory database while retaining the persistence of standard disk-based databases. Bottom line, with only 32KB of object code, LMDB may seem tiny. But it’s the right 32KB. Compact and efficient are two sides of a coin; that’s part of what makes LMDB so powerful. Symas offers fixed-price commercial support to those using LMDB in your applications. Development occurs in the OpenLDAP Project‘s git repo in the mdb.master branch. Symas LMDB has been written about, talked about, and utilized in a variety of impressive products and publications.
  • 4
    KX Delta Platform
    The KX Delta Platform is a high-performance, enterprise-grade data management system designed to capture, store, and analyze real-time and historical data. Built atop kdb+, the world's leading time-series database, it offers flexible configuration parameters to support key deployment needs such as redundancy, load balancing, and fault tolerance, ensuring high availability. Robust security features, including LDAP authorization, data encryption, and permission controls, ensure strict compliance with data sensitivity and security standards. The platform enables users to visualize data in various formats through a dashboard builder, interactive data playback, and auto-generated reports, efficiently supporting program management. It facilitates the management, manipulation, and exploration of massive real-time and historical datasets, processing at exceptional speeds to support mission-critical applications.
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