Manipulate results from keyword search queries, with faceting, Boolean operators, and advanced natural language processing.
Visually interact with analytics on how users explore, why queries work, and why they fail. Run A/B tests to anticipate how updates can help users.
Execute full SQL queries on all your data, with your security model fully enforced. Connect to endpoints like Tableau, Business Objects, and any other BI apps.
Fusion can execute hundreds of thousands of queries per second, from millions of concurrent users, returning results in less than a second.
Fusion powers connected experiences for some of the largest workplaces and websites, scaling to help millions find the most relevant answers.
Fusion also supports instantaneous queries on billions of records, from any number of data sources, in any data format.
As it indexes documents, Fusion invokes ML for clustering and classification, NLP functions like named entity recognition (NER), sentence detection, part of speech tagging, regex, and sentiment analysis with deep learning.
As data flows out at query time, Fusion uses ML again to interpret query intent to return the most relevant results. Other query-time AI identifies domain-specific entities (people, places, things, synonyms, misspellings, topics, phrases, etc.) with the semantic knowledge graph and understands their relationships within the searched content.
Ingest and parse records in popular formats including: PDFs, plain text, rich text, Microsoft Office apps, CSV files, email archives, HTML, JSON, and XML.
Query RDBMS systems like Oracle, MySQL, and other JDBC-compliant databases. Execute transactions, nested queries, and relational joins that include numerical, geospatial, textual and temporal data.
Connect to data stores like MongoDB, Couchbase, Hive, and HDFS. Combine your data in one index: relational, unstructured, and semi-structured data. Utilize full-text search and machine learning on this data in brand new ways.
Ensure high availability and maximum uptime with: automatic failover, built-in load balancing, automatic recovery, cross-datacenter replication (CDCR), backups and snapshotting.
Enjoy fine-grained access control, with support for Active Directory, Single Sign-on, SAML, Kerberos and LDAP with role-based access controls. Encryption, masking, and redaction are possible at every level so users only see documents which they are authorized to view.
View monitoring and auditing of all systems, with configurable dashboards for searching and visualizing logs and other system metrics.
Fusion can be deployed on GCP, Azure, and AWS. Scale different search and index traffic without separate installations and add new cloud-based apps more quickly and easily.
Fusion follows modern cloud architecture best practices and is optimized for deployment within Docker running with a Kubernetes microservices architecture.
Lucidworks offers pricing across three product tiers, either self-hosted by your team or as a Lucidworks managed service in the cloud with list prices calibrated to expected usage levels.
Our latest release extends Fusion’s cloud-native, microservices architecture to streamline development, simplify operations, and supercharge data science.
See it in action in our upcoming webinar!
Ready to create amazing AI-powered apps? Contact us today to learn how Fusion can help you and your team build search and data discovery applications that dazzle your customers and empower your employees.