Security that is both reliable and flexible, with fine-grained access controls, proper separation of duties, and the ability to anonymize data.
Atomicity, consistency, isolation, and durability; these properties ensure that your enterprise-grade system never encounters issues like data corruption, stale reads, and inconsistent data.
Control the authentication scheme for HTTP, WebDAV, ODBC, and XDBC App Servers with one of the many authentication procedures available here.
Query across all of your data with unbelievable fast results. Our "Ask Anything" Universal Index allows you to also index data as soon as its loaded, ingest and query across all of your data, and scale potentially billions of documents.
Shield your mission-critical applications against today's cyber threats with more advanced security features and certifications than any other NoSQL database.
MarkLogic supports containers so you can deploy with greater ease and speed, and release code even faster, whether in development or production environments,.
Supports the multi-step conversion processes of applications.
Our document database model is ideal for handling varied and complex data, providing native storage for JSON, XML, RDF, geospatial, and large binaries. You can load your data "as-is" no matter how complex it is.
Build your applications and run it anywhere, with the freedom to deploy anywhere and flexibility to make changes, whether on-premises, virtualized, or in the cloud.
Distribute data from a centralized master server to remote edge nodes which osautomatically synchronized to the central database when reconnected. No need to worry about security vulnerabilities or disconnected, intermittent, and latent networks.
Natively store, manage, and search geospatial data—including points of interest, intersecting paths, and regions of interest, all on a single platform, with powerful geospatial search capabilities at hand!
Ensure that your data is always available without compromising data resiliency. High availability ensures continuity within a cluster, protecting against component failure with computers, networking equipment, and power supplies, while disaster recovery protects against failures of an entire data center (power outages, natural disasters, etc.).
Automatically identify entities (either pre-defined or built) in free-flowing text that can be used for extraction or enrichment.
Perform relational operations on indexed values and documents regardless if the value is in a range index, the triple index, or rows extracted by a template.
Integrate massive volumes of data while being able to scale down based upon fluctuating demand.
This website uses cookies.

By continuing to use this website you are giving consent to cookies being used in accordance with the MarkLogic Privacy Statement.