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Search All Your Data With an "Ask Anything" Universal Index

Built-In Search

MarkLogic is a database with a search engine built-in to its core, providing a single platform to load data from silos and search and query across all of that data. MarkLogic requires less time and effort to build and configure indexes for standard queries, and does not require a bolt-on search engine for full-text search like other databases.

MarkLogic uses an “Ask Anything” Universal Index that indexes data as soon as it is loaded so you can immediately begin asking questions of your data.

  • Index at ingest and query endlessly across all of your data
  • Scale to petabytes of data and billions of documents
  • Unlimited real-time alerts on new data at time of ingestion
  • Lightning fast, sub-second results

Diagram of the built-in-search

Learn More About the “Ask Anything” Universal Index

Christopher Lindblad

The right way to use MarkLogic is to use indexes to solve problems."

Index, Index, Index!

MarkLogic was designed from the ground up with search in mind. The power of MarkLogic is its sophisticated indexing and exceptional performance when querying off the indexes. All data is immediately indexed at ingest using MarkLogic’s “Ask Anything” Universal Index and has additional indexes that can be toggled on and off based on the user’s needs.

Index Everything

The Universal Index indexes the content and structure of documents immediately at ingest, including words, phrases, relationships, and values

Index Even More

Toggle range indexes, geospatial indexes, the triple index, and reverse indexes on or off based on your data, the kinds of queries that you will run, and your desired performance

Get Real-Time Results

Search data using JavaScript, XQuery, SPARQL, and SQL, and get lightning fast, sub-second results with a transactional repository that provides a fully consistent view of your data

Ingest Multi-Lingual Content

Load content in over 200 languages and get advanced support including tokenization, collation, and stemming for core languages

Powering Data Integration and Data Access

Built-in search is extremely useful for data integration. It enables you to immediately search and discover any new data loaded into MarkLogic, and also keep track of your data as you harmonize it.

Built-in search is also very useful for application development. You can leverage it when building both transactional and analytical applications that require powerful queries to be run efficiently, and when you want to build Google-like search features into an app.

See How Our Customers Use It

Screenshots showcasing MarkLogic customers data integrations and visualizations

API-First Approach That Developers Love

APIs are the common language for both back-office data integration as well as modern UI front-ends. APIs serve as the contract for how other systems and apps interact with MarkLogic. For that reason, we provide a whole set of interfaces and APIs to access data in MarkLogic. 
    • Variety of Interfaces – Modern programming languages familiar to developers
    • Application Services – Simplifies architecture and speeds up development
    • Developer Productivity – Tools and frameworks to speed delivery
    • Easy adoption – Not everyone needs to know MarkLogic, they just need to know the API
Image highlighting the API integrations with MarkLogic

Full-Text Search Features

When it comes to search, MarkLogic has all the key features expected of an enterprise-grade search engine. These key features are listed below, and a more complete list can be found in the Search Guide.

Google-like Search Features

Word or phrase search, Boolean logic, stemming, wildcards, case sensitivity, punctuation sensitivity, diacritic sensitivity, and search term weighting

See results as you type, including relevant suggestions for words and phrases

Search for pairs or N-tuples of specified elements across disparate data sources

Not just content, structure too. Search for specific XML tags in the hierarchy of documents

Show a sidebar of aggregate counts based on categories

Return snippets of documents to show context

Highlight search terms or phrases in results

Push results higher based on whether terms are found in closer proximity

Tunable, document-level “page ranking” based on term frequency and other variables

Order by relevance or metadata (string, numerical, or date and time formats)

Toby Green - Product Page

MarkLogic’s built-in search capability is becoming essential to our success.

It makes data more discoverable by allowing us to query data, metadata and full text very easily. It enables us to create and deliver new services for our growing customer base much more quickly than we could before. We also look forward to implementing semantics to further maximize the value of our content to users."

Feature-Rich and Built for the Enterprise

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