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Supported Valkey™ modules

Aiven for Valkey™ includes pre-enabled modules that extend core Valkey functionality with additional data types and commands.

Valkey Bloom​

Valkey Bloom adds a probabilistic Bloom filter data type to Valkey. A Bloom filter is a space-efficient data structure that tests set membership: it can tell you that an element is possibly in a set or definitely not in a set, using a fraction of the memory needed to store the elements themselves.

Valkey Bloom is available on Aiven for Valkey services running Valkey 9 and later.

Configuration​

  • Valkey Bloom is enabled by default.
  • No configuration is required.
  • Valkey Bloom cannot be disabled.

Capabilities​

Valkey Bloom allows you to:

  • Create Bloom filters with a custom capacity and false positive rate
  • Add single or multiple elements to a filter
  • Check whether one or more elements might exist in a filter
  • Scale filters automatically as more elements are added
  • Persist filters alongside the rest of your data

Bloom filters suit high-traffic workloads where you need to prevent cache penetration, deduplicate streams, or filter out known items at low memory cost. You interact with them through the BF.* command family, such as BF.ADD, BF.EXISTS, BF.MADD, BF.MEXISTS, and BF.RESERVE.

For complete documentation on Valkey Bloom commands and usage, see the Valkey Bloom documentation.

Valkey JSON​

Valkey JSON provides native JSON document storage and manipulation capabilities within Valkey.

Configuration​

  • Valkey JSON is enabled by default.
  • No configuration is required.
  • Valkey JSON cannot be disabled.

Capabilities​

Valkey JSON allows you to:

  • Store JSON documents as values
  • Query JSON documents using JSONPath
  • Make atomic updates to JSON elements
  • Index and search JSON data

For complete documentation on Valkey JSON commands and usage, see the Valkey JSON documentation.

Valkey Search is a high-performance search engine module that supports vector search, full-text search, numeric filtering, and tag filtering. It enables indexing data stored in Valkey Hash or Valkey JSON data types and querying it with low latency.

Configuration​

  • Valkey Search is enabled by default.
  • No configuration is required.
  • Valkey Search cannot be disabled.

Capabilities​

Valkey Search allows you to:

  • Create indexes over Valkey Hash and Valkey JSON data
  • Run vector similarity searches using Approximate Nearest Neighbor (HNSW) or exact K-Nearest Neighbor (KNN) algorithms
  • Apply numeric, tag, and full-text filters in hybrid queries
  • Aggregate search results using FT.AGGREGATE
  • Monitor index status and backfill progress using FT.INFO

Supported commands​

The following commands are available with Valkey Search:

CommandDescription
FT.CREATECreate an index
FT.DROPINDEXDelete an index
FT.INFOReturn index details and statistics
FT._LISTList all indexes
FT.SEARCHSearch an index
FT.AGGREGATEAggregate search results

For the full command reference, see Valkey Search commands.

Cluster mode​

Valkey Search is supported on Aiven for Valkey cluster plans.

Further reading​

For more information about Valkey Search, see the following upstream resources:

Related pages