Power your most important applications with a true multi-model database. Create value from complex data—search and query, build new apps and enrich analytics.
MarkLogic Server is a powerful multi-model database with a built-in search engine and integrated developer tools for data access all rolled into one. Ingest data into MarkLogic as is, without worrying about predefined schemas and complex ETL. MarkLogic’s flexible, multi-model approach lets you bring in data from anywhere—relational databases, mainframes, fileservers, Hadoop—or any other source. It’s that easy.
With native storage for documents, text, graph, relational, geospatial and binary formats, you can choose the right mix of data models for your use-case without sacrificing data consistency.
Get faster access to ingested data, better query performance and real-time alerting with a universal index. With a search engine built into MarkLogic’s core, you spend less time and effort building and configuring standard queries.
Loved by Customers and Recognized by Analysts
All your data and metadata as a single resource in a unified platform.
Easily manage structured and unstructured data sources with no complex ETL and make nimble changes to any aspect of how information is used, interpreted and acted on—with speed and ease—thanks to the MarkLogic Server flexible data model.
Couple data with its metadata to create a single, unified source for modern data architectures and design patterns—from data fabrics and knowledge graphs to intelligent, fact-based search and grounded AI and augmented analytics.
Develop business and mission-critical contextual applications with industry-standard programming languages and a unified query API. Augment with AI and maximize LLMs' response accuracy through a hybrid semantic and vector search.
A multi-model database integrates various data models, indexes and programming languages in a unified interface to ensure data security, data governance and data consistency.
Flexibly manage document (JSON/XML), text, graph, vector, relational, binary, geospatial and time-based data.
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Handle varied and complex hierarchical data with a document-centric model. The intuitive and flexible schema along with distributed architecture for horizontal scaling adapt to frequent changes to the data model, enabling rapid development for any use case.
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Integrate all your data and metadata as a single resource in a scalable, high-performance operational database. With native storage for documents, text, graph, relational, geospatial and binary formats, you can choose the right mix of data models for your use-case without sacrificing data consistency.
Handle the growing app and data complexity with a truly multi-modal database that will comfortably meet your shifting requirements.
The MarkLogic modern multi-model database integrates data of any type and from any source while ensuring data consistency in a time- and cost-effective manner.
Integrate data as is from diverse formats, applications, architectures and workflows into a single, unified backend with native support for multiple data models to fit your unique application needs.
Flexibly store and access data for all the supported data models with industry-standard programming languages, while ensuring data consistency between the different models.
Journaling of updates before they are committed to ensure transactions can be replayed in the face of system failures.
Add data sources and make schema changes to support new use cases without impacting existing applications or re-ingesting the source data. Independently scale different components within the architecture as your needs change.
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Get the combined benefits of a document store and an RDF Triple Store. Semantics is ideal for storing relationships, improving data integration, managing metadata and building applications with highly connected data.
MarkLogic combines the benefits of a document store and an RDF Triple Store. JSON and XML documents provide incredible flexibility for modeling entities, while RDF triples—the data format for semantic graph data—are ideal for storing relationships.
With MarkLogic Semantics, you can store metadata, improve data integration and build applications using that integrated, highly connected data. Leverage MarkLogic Semantics to build advanced search apps, recommendation engines, fraud detection, knowledge graphs, drug discovery and network security.
Add contextual meaning and create relationships within your data entities, connecting hundreds of billions of facts to power advanced search and algorithms. RDF triples allow you to create real-time connections between data, such as organization structures and relationships between documents and data.
MarkLogic’s ontology-drive entity extraction automatically identifies entities (people, places, and things) in free-flowing text and then return a list of those entities (extraction) or mark them up in the document (enrichment) for improved search and classification.
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Answer the “where” question in the context of all your other data. Natively store, manage and search geospatial data—including points of interest, intersecting paths and regions of interest.
“Where?”—the basis for military operations, land use analysis, asset and utilities mapping and real-time tracking.
The MarkLogic database provides a single platform to natively store, manage and search geospatial data—including points of interest, intersecting paths and regions of interest. That data is all stored with context as MarkLogic also handles other data about entities (people, places and things), relationships (semantics, or “linked data”), imagery and video (large binaries), and time (temporal data). MarkLogic provides powerful geospatial search capabilities—for the most demanding geospatial applications.
Built-in search allows queries of free text that may be tied directly to geospatial data. For example, there may be notes attached to an entity displayed on a map that now become searchable because MarkLogic indexes that content.
MarkLogic’s double precision enables more precise, high-resolution search queries and operations (e.g., when a geological survey agency needs to monitor objects that move in sub-meter increments).
Leading geospatial mapping vendors including Esri ArcGIS, OpenGeo Suite, Berico Rivium, OGC-compliant GIS tools, and SPARQL-compliant semantic visualization tools are proven to integrate with MarkLogic, providing robust visualization capabilities and real-time access for users to put multi-dimensional geospatial data to work within a web interface.
The MarkLogic NoSQL database provides the enterprise features organizations require, including granular data security, high availability and disaster recovery and transactional consistency.
An easy-to-use API that leverages MarkLogic’s indexes to deliver real-time geospatial alerts at scale.
APIs that allow users to draw polygons on a map that contain or intersect areas of interest.
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Master data quickly and automatically in a MarkLogic data hub, without buying a separate MDM tool. It leverages fuzzy logic and AI to match and merge data to build your 360-degree view in the context of all your data.
MarkLogic’s Smart Mastering leverages the flexibility of our data modeling approach to quickly build your 360 view in the context of everything it knows. It looks at the multi-layered relationships across all the data and uses fuzzy logic and AI (relevance scoring, database intelligence, and probabilistic algorithms to be specific) to match related records and provide confidence scores. Based on those scores, related records are merged automatically.
Unmerge records when your requirements dictate it. MarkLogic’s Smart Mastering is done in the context of the Operational Data Hub, where you can easily access both the raw data and the harmonized, mastered versions and look back at all your changes as it keeps the lineage and provenance of your data.
Your data is safe and well governed in MarkLogic as Smart Mastering is designed to maintain the full provenance and lineage of data—as it is mastered. It is essential to your business when dealing with regulations like GDPR, but it’s also helpful in providing great customer service.
Data integration projects go 5x faster with MarkLogic. You can expect the same agility with Smart Mastering. And, you don’t have to buy legacy MDM product that’s prone to failure. Smart Mastering provides out-of-the box rule configurations, a set of APIs and a visual interface to get you started quickly.
MarkLogic’s Smart Mastering takes the full context of your data in mind as it matches and merges, automatically. It uses a trust-based approach to address duplicate, incomplete and partial entities. It also allows un-merging when mistakes are made (and they always are with MDM).
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Derive insights using traditional SQL, enterprise search and semantics capabilities—all in one unified operational and analytical system. Modernize data analytics and business intelligence with MarkLogic.
Write more powerful queries, build better applications, and uncover new insights. Whether you are building custom analytics or using standard BI tools, MarkLogic accelerates your path to modernize data analytics and business intelligence.
MarkLogic’s patented multi-model querying capability makes it possible to use multiple lenses for analyzing multi-structured data. With different lenses, it is easy to make data fit-for-purpose for different downstream uses. No need to augment a traditional RDBMS warehouse with a newer data lake environment. Rather than making your tech stack more complex to govern and secure, MarkLogic simplifies your overall architecture.
With Semantics, you can describe relationships and enrich data with domain knowledge to build rich knowledge graphs. MarkLogic’s built-in search auto indexes the data and the relationships so that you can combine full-text search with graph query for powerful semantic search.
You can create relational views on top of your multi-model data for SQL analytics without compromising flexibility and security. The underlying data format never changes, and MarkLogic’s Template Driven Extraction enables you to create a relational lens over your data so you can query it using standard SQL.
Using its sophisticated indexing, MarkLogic includes real-time alerting for timely responses to changes in data and instant decision making. With real-time alerts and advanced semantic and geospatial search capabilities you can utilize MarkLogic for faster communication and decision making.
MarkLogic provides its Optic API as a unified query interface for multi-model data access. It allows you to search across documents, semantic graphs and relational views with a single, composable query. You can even use the Optic API to do relational operations like joins and aggregates over documents.
Build bespoke analytics applications or funnel quality data into industry-leading tools like Tableau and Power BI. MarkLogic enables sophisticated search, map and graph visualizations as well as seamless integration with business intelligence (BI) tools in three common ways: ODBC, REST and file-based.
Petabyte scalability, high availability and disaster recovery. 100% ACID transactions.
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Don’t settle for a BASE-ic database. Use ACID transactions to ensure you don’t run the risk of encountering data corruption, stale reads, and inconsistent data.
If you’re running an operational and transactional system, then you need a database with all of the ACID properties (atomicity, consistency, isolation, and durability). These properties ensure that your enterprise-grade system never encounters issues like data corruption, stale reads, and inconsistent data. When it comes to mission-critical applications, ACID properties are not a “nice-to-have,” they are an absolute requirement for transactional consistency.
ACID compliance is a standard in relational databases, but MarkLogic is unique among almost all NoSQL databases because we support transactions that are 100% ACID compliant, whereas others have relaxed or even non-existent standards. MarkLogic’s ACID properties also apply to multi-document, multi-statement, and XA transactions (transactions between clusters), providing the unique reliability to run large-scale, operational systems for mission-critical use cases.
Document locks to protect data during updates and keep transactions from conflicting with one another.
Timestamps on documents that ensure a query only sees copies of documents that are valid at the time the query is run (also known as Multi-Version Concurrency Control).
Journaling of updates before they are committed to ensure transactions can be replayed in the face of system failures.
A commit process to ensure changed data is changed all at once or not at all, even across multiple hosts.
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Guarantee ACID properties for distributed transactions across clusters. Keep your data in sync by guaranteeing ACID transaction properties are maintained for distributed transactions between MarkLogic clusters or with another database system.
MarkLogic’s XA transactions feature lets you execute one unified ACID transaction between MarkLogic and another database system.
In compliance with the “eXtended Architecture” standard by The Open Group, MarkLogic’s XA transactions guarantee that MarkLogic’s ACID properties are maintained for transactional updates or are fully rolled back to the prior state.
XA Transactions allows multiple resources (such as databases, applications etc.) to be accessed within the same transaction, preserving the ACID properties across all resources.
MarkLogic has an XA transaction resource manager as required by the specification (note that you still need a Global Transaction Manager).
If you need XA Transactions and you want to use a NoSQL database, then MarkLogic is the only option.
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Enterprise-class HA/DR so that you can have confidence your data is always available and scheduled downtime is minimized, reducing risk and avoiding interruptions.
The MarkLogic enterprise-grade high availability and disaster recovery (HA/DR) so that you can have confidence your data is always available and scheduled downtime is minimized, reducing risk and avoiding interruptions.
With MarkLogic, your data is always available on a hardened platform with uncompromising data resiliency. With 100% ACID-compliant transactions, you are guaranteed consistency after a failover or recovery event.
Backup selected components or the entire database—using SSL out-of-the-box. Incremental backups, coupled with journal archiving, enable you to restore the database to a point-in-time that minimizes the recovery point objective (RPO) and uses less storage.
Getting data when and where you need it can be challenging—and even risky or impossible. Global organizations often run into latency issues trying to replicate data from centralized data centers to remote areas. And, for military operations in particular, replicating data to the field is often problematic because of cybersecurity concerns and technical roadblocks created by adversaries armed with signal jamming equipment. MarkLogic’s Flexible Replication is the perfect solution for sharing data across disconnected, intermittent, and latent networks.
High availability requires continuity within a cluster, protecting against component failure with computers, networking equipment and power supplies.
Marklogic clusters are protected against failures by providing fault tolerance in both evaluator nodes (e-nodes) and data nodes (d-nodes). If either an e-node or d-node fails, other nodes automatically pick up the workload so that the data stored in forests is always available. High availability works with either local disk failover on DAS or SSD or shared disk storage, such as SAN, Amazon S3 or HDFS.
Distributed, share-nothing architecture that scales horizontally in clusters to hundreds of nodes, petabytes of data and billions of documents.
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MarkLogic can scale horizontally in clusters on commodity hardware to hundreds of nodes, petabytes of data, and billions of documents—and still processes tens of thousands of transactions per second.
MarkLogic is a massively scalable enterprise-grade database that scales horizontally in clusters on commodity hardware to hundreds of nodes, petabytes of data and billions of documents—and still processes tens of thousands of transactions per second.
When demand dissipates, MarkLogic can scale back down without having to worry about complex sharding. With these features, organizations can handle incredible volumes of data and run large scale web applications—all without breaking the bank.
From three nodes to hundreds of nodes, or 10,000 documents to 1 billion documents—MarkLogic clusters scale horizontally as your data or access demand grows and shrinks.
Add or remove nodes in minutes and take advantage of automatic cluster rebalancing, helping you keep the database in line with performance needs without over-provisioning.
MarkLogic doesn’t need “big iron.” You can run MarkLogic on cost-effective commodity hardware in any environment—in the cloud, virtualized, on-premises, or a combination.
MarkLogic uses a shared-nothing architecture with no master-slave relationships, which means there is no risk of data loss if a node fails. If one node fails, another node automatically picks up the workload.
MarkLogic was designed from the start to run large enterprise applications and does not reach a limit where there are large performance cliffs while scaling.
MarkLogic datasets and indexes do not have to fit in-memory, which means you can scale without the expense of dozens of boxes and licenses.
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Store and manage data in different tiers based on cost and performance trade-offs. Easily moving data between tiers without any ETL or expensive infrastructure changes allows you to easily balance performance and capacity through the lifecycle of your data.
The MarkLogic Tiered Storage add-on feature lets you store and manage data in different tiers based on cost and performance trade-offs—whether it’s flash storage, traditional local or shared disk storage, HDFS or Amazon cloud storage.
With Tiered Storage, your data is easily migrated between tiers without any ETL, additional software or expensive infrastructure changes. This allows you to balance performance and capacity through the lifecycle of your data—hitting performance SLAs, making data governance easier and meeting compliance requirements.
Move data across tiers without having to take the data offline, perform any ETL, or even re-index it, allowing you to move data without concerns, knowing that it’s always available when and where you need it.
Easily migrate and resize data partitions. For example, if you have 18 forests across 3 hosts, you can change it to 20 forests across 4 hosts and have Tiered Storage manage the change.
Partition data to different storage tiers using a set policy in database administration. For example, a policy can be created to automatically archive data if it is older than a certain date.
Storage costs can vary widely from around $1 to $25 per gigabyte. With our Tiered Storage, you can avoid over-provisioning expensive storage for data that can be easily stored on a cheaper tier.
Use Amazon S3 or HDFS as distributed file systems for cheaply storing large volumes of archival data, without losing the ability to bring that data back into an active, operational storage tier quickly, and without any ETL or re-indexing.
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Ready-to-use machine learning provides deeper levels of accuracy of your data right inside MarkLogic so you can better curate and model it. Create unique predictive models and systems that get continually smarter.
MarkLogic’s Embedded Machine Learning is a full deep-learning toolkit that operates as a run-time library installed right at the core of MarkLogic, in the database kernel. It exposes its functions as built-ins from JavaScript and XQuery, which means these functions run close to the data and are completely integrated.
Embedded machine learning was designed for peak performance not only for CPUs but also for GPUs, and it scales to multi-machine-multi-GPU systems. Additionally, it is designed using a compression technique that dramatically reduces communication costs, reducing inter-node communications and enabling highly scalable parallel training across multiple machines.
Run queries more efficiently and scale autonomously based on workload patterns. With autonomous elasticity, MarkLogic can use models of infrastructure workload patterns to automatically adjust the rules that govern data and index rebalancing.
Reduce complexity and increase automation of various steps in the data curation process. Pared with the Smart Mastering, for example, machine learning will augment the rules-based mastering process so that records are mastered with more accuracy, and models continue to improve as more data is processed.
For data scientists, it’s now simpler to just do the work of training and executing models right inside MarkLogic, where we can handle almost every part of the architecture and process.
Implement data security policies to the highest levels of protection with built-in governance, granular role-based access controls and more advanced security features.
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Role-based and elemental-grade security controls for use cases that require even more advanced security features for data sharing and further separation of duties.
MarkLogic offers fine-grained access controls, proper separation of duties and the ability to anonymize data so that your data is both secure and shareable.
Control the information users can see and edit. Assign user roles and set document permissions, determining user privileges and what they can do. MarkLogic secures data at the collection level, document level and even element/property level.
Further restrict data access by requiring users to have more than one role to view data, not just one of the right roles. It’s often employed to protect classified material in government systems.
For when pieces of your data need to be removed or obscured when exporting data for sharing. This feature is beneficial in meeting compliance guidelines like HIPAA, SEC17a-4, FINRA and GDPR, to name just a few.
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Protect critical information against data breaches and comply with regulators with market-leading security controls proven in mission-critical environments.
Define security models that enforce the exact level of security control over your data, while empowering employees to access just the data they need.
Cutting-edge data encryption protects against unauthorized access of the database by a SysAdmin or Storage Admin. It allows data, configuration and logs to be encrypted while the files are resting on disk using AES-256 encryption, conforming to FIPS 140 criteria.
Employ additional separation of concerns and ease of management for storing encryption keys. This option is helpful when you want to leverage an external Key Management System (KMS) that is already in use.
MarkLogic closely monitors database activity and makes it possible to audit document access and updates, configuration changes, administrative actions, code execution and changes to access control.
* Paid Options
MarkLogic APIs provide a tremendous amount of functionality while serving as a software program interface to facilitate interaction.
MarkLogic connectors provide a convenient option for MarkLogic customers to try additional products and services, as well as provide an easy integration for daily business needs.
Build your application once and run it anywhere—on-premises, virtualized or in the cloud. With MarkLogic, your business dictates where your data lives.
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Build your app once and run it wherever you want. Starting on premises and want to migrate to the cloud later? No problem. Need to change cloud vendors? No worries because MarkLogic is cloud neutral and there’s no cloud lock-in.
Build your application once and run it anywhere—on-premises, virtualized or in the cloud. With MarkLogic, your business dictates where your data lives.
Most databases are purpose-built for each particular environment—you run different versions of that vendor’s software depending on the environment. Unlike other databases that require you to choose up front where to deploy, with MarkLogic you get one enterprise product that runs in the environment of your choice. If you start on-premises and migrate to the cloud later on, that is okay. MarkLogic has been successfully running in production cloud environments for over a decade.
No vendor lock-in to proprietary cloud technologies. MarkLogic runs on AWS, Azure and Google Cloud.
MarkLogic is proven in private and hybrid cloud, as well as on-premises.
If you start on-premises and migrate to the cloud later, that is okay.
Independence to run your primary system with one cloud vendor, disaster recovery with another and run development on a third cloud vendor.
Simplify the process of switching system integrators, cloud vendors or subcontractors using advanced security features.
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Deploy faster and more reliably by packaging applications in containers. This ensures that applications will run uninterrupted as they’re moved from one environment to another while reducing costs.
MarkLogic supports containers so you can deploy with greater ease and speed. You can use MarkLogic with Docker or Kubernetes to pack, ship and run applications within containers, developers simply write an application, place it in a container and deploy.
Containers can run on top of virtual machines or bare metal infrastructure. And because MarkLogic is cloud-neutral and platform-agnostic, running MarkLogic in containers offers you increased flexibility: You can easily write an application once and deploy it anywhere in the cloud or on-premises.
Easily deploy applications built on MarkLogic while maintaining security at the application layer across all deployed apps.
Create and run MarkLogic on containers in seconds and spin up additional query capacity for varying needs in near real time.
Enable rapid software development and smooth CI/CD (continuous integration and continuous delivery) with consistency.
MarkLogic is available at Docker Hub, the world’s largest library and community for containers.
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Remove the infrastructure complexity of managing MarkLogic Server in the cloud and accelerate time to production with managed cloud hosting. Enjoy optimal security and scalability—all with 100% feature parity.
Compose, connect and deploy your data and AI solutions to production with less reliance on IT. Our SaaS services offer managed hosting of MarkLogic Server and MakLogic Data Hub for enhanced security, resiliency and scalability—all with 100% feature parity. And if you are a Progress Semaphore user as well, you will benefit from a single point of access for all your data services.
Spend fewer workforce resources on product administration and free up your IT team for high-value projects. Leave the installation, upgrade, backup, monitoring and user management tasks to Progress.
Support large data volumes and any workload that spans your entire data and AI workflow. Minimize business interruptions with superior performance plus enterprise-grade scalability, availability and disaster recovery.
Maintain good security posture with an enhanced security model that is SOC 2 Type 2 certified and follows SAMM Level 2 best practices. Benefit from continuous support, bug fixes and security updates.
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Automate and scale multi-cluster MarkLogic Server deployments in Kubernetes.
The MarkLogic Kubernetes Operator simplifies the deployment and management of MarkLogic Server in Kubernetes environments. It extends the Kubernetes functionality by automatically deploying your MarkLogic clusters, reducing the complexity and manual effort required to manage large-scale distributed databases.
Define and load your configuration once and deploy multiple MarkLogic Server group clusters with a single command. Manage the entire application lifecycle.
Streamline cluster deployments, manage upgrades and backups, disaster recovery and scaling, reducing the overhead and costs associated with manual management and system downtime.
Dynamically scale deployments to meet changing workload demands. You can add hosts to handle more data or high query times, ensuring the system can scale efficiently.
Our free Developer Edition is a full-featured version of MarkLogic Server for development use. Get access now and store up to 1TB of data.
