KX Features

Stores data tables as columns. 20 reviewers of KX have provided feedback on this feature.

Supports multiple data types like lists, sets, hashes (similar to map), sorted sets etc. This feature was mentioned in 22 KX reviews.

Implements auto horizontal data partitioning that allows storing data on more than one node to scale out. This feature was mentioned in 14 KX reviews.

Restores a database to a correct (consistent) state in the event of a failure. 16 reviewers of KX have provided feedback on this feature.

Copy data across multiple servers through master-slave, peer-to-peer replication architecture etc. 16 reviewers of KX have provided feedback on this feature.

Based on 17 KX reviews. Stores frequently-used data in system memory quickly.

Provides predefined system roles, privileges, and user-defined roles to users. 15 reviewers of KX have provided feedback on this feature.

Based on 18 KX reviews. Allows integration with external security mechanisms like Kerberos, LDAP authentication etc.

Based on 14 KX reviews. Provides an audit log to track access and operations performed on databases for regulatory compliance.

Based on 16 KX reviews. Provides encryption capability for all the data at rest using encryption keys.

Based on 11 KX reviews. Provides support to store, index and query data in more than one format.

Available on multiple operating systems like Linux, Windows, MacOS etc. This feature was mentioned in 16 KX reviews.

Allows semantic search service by organizing data.

Allows indexing of data for search and retrieval. This feature was mentioned in 10 KX reviews.

The feature aids in filtering queries by metadata thus achieving accurate search. This feature was mentioned in 10 KX reviews.

This feature integrates vectors and metadata indexes into a single index.

Aids in faster processing of query to obtain results. This feature was mentioned in 10 KX reviews.

Enables faster queries and search engine-like workloads.

Enables the user to track the time taken for data to be generated and available for processing

Aids in monitoring and reporting data pipeline performance.

Manages in building pipelines between two protocols.

Allows continuous data ingestion directly from the data source.

Aids the database in scaling horizontally and vertically in petabytes.

Based on 10 KX reviews. Helps store the data in fixed size segments called vectors for better management.

Enables ingesting data efficiently and securely.

Allows concurrent access to data without the use of any table locks.