We are excited to announce that our new feature, MarkLogic Embedded Machine Learning, is generally available with the release of MarkLogic 10.

The MarkLogic database is the core of our Data Hub Platform. As a platform for simplifying complex data integration, it’s already incredibly smart. It uses advanced capabilities for data harmonization, mastering and security that no other database has. Now, with Embedded Machine Learning running at the core of the database, our platform is

We are proud to announce the successful completion of a SOC 2 Type II audit for our cloud service. An independent third party has issued an attestation report for MarkLogic® Data Hub Service on all five SOC 2 Type II principles:  Security, Availability, Processing Integrity, Confidentiality and Privacy.

Providing a safe and secure platform to manage enterprise data is paramount to our vision of simplifying complex data integration. MarkLogic was already the most secure modern database with

「MarkLogic技術リソースの歩き方」と題し、開発者の方に有益なMarkLogicの公開技術情報について、3回シリーズで体系的に紹介していきます。開発者の皆様にとって有益な情報と思われる内容は日本語翻訳されているリソースだけに限定せずご紹介します。

第一回となる本エントリのテーマは、MarkLogicの開発者向けコミュニティサイトDeveloper MarkLogic Community (

This guide is a primer for enterprise search. It covers the basics about what to look for when choosing an enterprise-search solution and some expert tips for developing it so it meets the unique needs of your organization.

This content will be useful for both those on the business side who want to better understand enterprise search and also for a technical audience such as engineers who want to get a summary of key concepts before diving into the weeds.

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If you’re part of a business that’s involved in performing reconciliation or offering reconciliation services, you certainly understand the importance of automation on productivity, efficiency and client servicing. In part one of this series, we examined the challenges associated with implementing automation and the value of improved data-reconciliation processes. In this post, we look at the role of data integrity as a foundation for optimizing the reconciliation lifecycle and how