Aerospike key-value store (KVS) operations associate keys with a set of named values. On cluster startup, Aerospike configures policy containers—namespaces (RDBMS databases)—which control the retention and reliability requirements for a set of data. Namespaces are divided into sets (RDBMS tables) and records (RDBMS rows). Each record has a unique indexed key, and one or more bins (RDBMS columns) that contain the record values. Aerospike supports numerous data types used for bin values, as arguments, and as UDF return values. Aerospike allows value-based queries using secondary indexes, where string and integer bin values are indexed and searched using equality (string or numeric) or range (numeric) filters. User-Defined Functions (UDFs) extend the functionality and performance capabilities of the Aerospike Database engine. In Aerospike, the aggregations framework allows fast, flexible query operations. Similar to MapReduce systems, aggregation emits results in a highly parallel fashion. Aerospike supports large data types (LDTs) that allow individual record bins to efficiently store large collections of elements. In Aeropike, you can use list data types when dealing with a size-bound list residing in a single bin. List operations allow server manipulation (such as adding or removing an item) without having to read and replace the entire bin value. Aerospike supports Geospatial store, index, and query.

* RESILIENCY - Eliminate the impact of the unexpected. Even if network partitions or hardware failures cause unanticipated outages, Riak KV can still read and write your data. * MASSIVE SCALABILITY - Grow as you go with scalable capacity. Riak KV’s scale-out architecture lets you add capacity seamlessly using commodity hardware for near-linear performance improvement. * OPERATIONAL SIMPLICITY - Eliminate mindless manual operations. Easily add nodes to Riak KV so your data can be automatically and uniformly distributed across the cluster. * INTELLIGENT REPLICATION - Avoid downtime with intelligent features. Riak KV is designed to intelligently replicate and retrieve your BigData, IoT, or hybrid cloud application is always available. * COMPLEX QUERY SUPPORT - Keep data aligned with your query needs. Riak KV provides you with three ways to query data using Solr full-text search, secondary indexes and Map Reduce. * DOTTED VERSION VECTORS (DVVs) - Built-in conflict resolution. Riak KV tracks logical time rather than chronological time to resolve object conflicts quickly and automatically. * MULTI-CLUSTER REPLICATION - Replicate clusters locally or globally. Riak KV makes it easy to replicate clusters across your datacenter or around the world for data geo-location, secondary analytics or business continuity.