Fusion’s REST APIs and endpoints give you complete access to all your data with the tools and commands you already know and love.
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.
Access data across any and all independent systems of record, but leave the data where it resides. Fusion Server powers rapid, proactive, contextual data exploration.
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.
Enterprise data architectures are standardizing on open-source technologies: Apache Solr and Apache Spark.
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.
Pre-built connectors let you ingest data from more than 100 sources (and silos) including: databases, intranets, network drives and the cloud. Our Connector Framework makes it easy to write custom connectors for any other source or format.
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.
Reddit handles ~10M monthly posts, 3M daily comments, and 58M daily votes across 138K active communities.
Lucidworks Fusion is the data discovery platform that gives users contextual, personally relevant search results and proactive recommendations with artificial intelligence that augments their human intelligence. Millions of users can discover insights at the moment they have a question, without any training, and even across billions of documents or records.
Data Ingest & Prep | Server & Storage | Intent Prediction | App Creation |
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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.