[ KX Reviews ](https://www.g2.com/products/kx-kx/reviews) [ KX Reviews ](https://www.g2.com/products/kx-kx/reviews) # KX Features ##### ## Storage (2) Data Model Stores data tables as columns. Data Types Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. Show More ##### ## Availability (3) Auto Sharding Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. Auto Recovery Restores a database to a correct (consistent) state in the event of a failure. Data Replication Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. Show More ##### ## Performance (1) Integrated Cache Stores frequently-used data in system memory quickly. Show More ##### ## Security (4) Role-Based Authorization Provides predefined system roles, privileges, and user-defined roles to users. Authentication Allows integration with external security mechanisms like Kerberos, LDAP authentication etc. Audit Logs Provides an audit log to track access and operations performed on databases for regulatory compliance. Encryption Provides encryption capability for all the data at rest using encryption keys. Show More ##### ## Support (2) Multi-Model Provides support to store, index and query data in more than one format. Operating Systems Available on multiple operating systems like Linux, Windows, MacOS etc. Show More ##### ## Data Indexing (2) Semantic Search Allows semantic search service by organizing data. Indexing Data Allows indexing of data for search and retrieval. Show More ##### ## Filters (2) Accurate Search The feature aids in filtering queries by metadata thus achieving accurate search. Single Stage Filtering - Vector Database This feature integrates vectors and metadata indexes into a single index. Show More ##### ## Query latency (2) Lower query latency Aids in faster processing of query to obtain results. Continuous queries Enables faster queries and search engine-like workloads. Show More ##### ## Data latency (2) Lower data latency Enables the user to track the time taken for data to be generated and available for processing Data pipeline performance Aids in monitoring and reporting data pipeline performance. Show More ##### ## Connectors (2) Faster ingestion Manages in building pipelines between two protocols. Built-in connectors Allows continuous data ingestion directly from the data source. Show More ##### ## Scale (2) Linearly scalable database Aids the database in scaling horizontally and vertically in petabytes. Storage management Helps store the data in fixed size segments called vectors for better management. Show More ##### ## Architecture (2) Data security Enables ingesting data efficiently and securely. Lockless architecture Allows concurrent access to data without the use of any table locks. 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