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  • Jun 5, 2026

      New
      Aiven for Valkey™

    Valkey™ Bloom module now available on Aiven for Valkey

    What's new

    The Valkey Bloom module is now available on Aiven for Valkey services running Valkey 9 and later. It adds a probabilistic Bloom filter data type that lets you test set membership using very little memory. A Bloom filter can tell you that an element is possibly in a set or definitely not in a set, which makes it well suited to high-traffic use cases such as preventing cache penetration, deduplicating streams, and filtering out known items.

    Key features

    • Space-efficient membership tests: Check whether an element is likely present or definitely absent using a fraction of the memory needed to store the elements themselves.
    • Auto-scaling filters: Filters expand automatically as you add elements, preserving the configured false positive rate.
    • Configurable accuracy: Set a custom capacity and false positive rate per filter.
    • Persistence: Bloom filters are saved and restored together with the rest of your Valkey data.

    Configuration

    Valkey Bloom is enabled by default on all Aiven for Valkey services running Valkey 9 and later. No configuration is required, and the module cannot be disabled.

    The following BF.* commands are available immediately: BF.ADD, BF.EXISTS, BF.MADD, BF.MEXISTS, BF.RESERVE, BF.INSERT, BF.CARD, and BF.INFO.

    Getting started

    • For existing services: Apply the available maintenance update to activate Valkey Bloom, then start creating filters with BF.RESERVE and checking membership with BF.ADD and BF.EXISTS.
    • For new services: Valkey Bloom is enabled automatically when you create a new Aiven for Valkey service running Valkey 9 or later.

    Learn more

  • Jun 5, 2026

      New
      Aiven for Valkey™

    Valkey™ Search module now available on Aiven for Valkey

    What's new

    The Valkey Search module is now available for all Aiven for Valkey services. It extends Valkey with a high-performance search engine that supports vector search, full-text search, and hybrid queries over data stored in Valkey Hash and Valkey JSON.

    Key features

    • Vector search: Run Approximate Nearest Neighbor (HNSW) or exact K-Nearest Neighbor (KNN) searches with low latency.
    • Hybrid search: Combine vector queries with numeric, tag, and full-text filters in a single query.
    • Flexible indexing: Create indexes over Valkey Hash and Valkey JSON data types.
    • Cluster support: Fully supported on Aiven for Valkey cluster plans.

    Configuration

    Valkey Search is enabled by default on all Aiven for Valkey services. No configuration is required, and the module cannot be disabled.

    The following FT.* commands are available immediately: FT.CREATE, FT.SEARCH, FT.AGGREGATE, FT.DROPINDEX, FT.INFO, and FT._LIST.

    Getting started

    • For existing services: Apply the available maintenance update to activate Valkey Search, then start creating indexes with FT.CREATE and querying them with FT.SEARCH.
    • For new services: Valkey Search is enabled automatically when you create a new Aiven for Valkey service.

    Learn more

  • Jun 3, 2026

      New
      Aiven Console
      Aiven Terraform provider
      Aiven API

    New granular permissions for billing

    Two new organization-level permissions have been added for the billing pages in Console, organization:billing:read and organization:billing:write. Previously, users who needed access to edit billing groups or view invoices needed to have organization admin privileges. With the new billing permissions, you can limit access based on actual need.

    The organization:billing:write permission lets users manage billing information and payment methods. For users who only need to view payment details and invoices, the organization:billing:read permission grants read-only access.

    More information on permissions is available in the documentation.

  • May 29, 2026

      New
      Aiven for ClickHouse®

    Apache Arrow Flight support (early availability)

    Aiven for ClickHouse® now supports Apache Arrow Flight for new services running ClickHouse 25.8 LTS. Use Arrow Flight to transfer large analytical datasets faster between ClickHouse and Arrow-native tools.

    Arrow Flight connection details are not yet available in the Aiven Console. To get the connection details, use the Aiven API, Aiven CLI, or Aiven MCP server.

    For more information, see Supported interfaces and drivers.

  • May 27, 2026

      New
      Aiven for OpenSearch®

    OpenSearch® Developer tier for prototyping and dev/staging

    Aiven introduced a dedicated Developer tier for Aiven for OpenSearch® that gives teams an always-on environment for prototypes and personal projects at a lower entry cost. The plan includes a single-node setup with 1 CPU, 4 GB RAM, 30 GB storage, daily backups, service integrations, and Basic-tier support, which helps you build and test without managing infrastructure.

    For more details on the supported features and limitations, see the Aiven for OpenSearch Developer tier page or the docs.

  • May 20, 2026

      New
      Aiven for Apache Kafka® Connect

    Salesforce sink connector for Aiven for Apache Kafka® Connect (early availability)

    The Salesforce sink connector is available for Aiven for Apache Kafka® Connect. It writes records from Apache Kafka® topics to Salesforce objects, such as Account or Contact, using Salesforce Bulk API 2.0 insert jobs.

    Supported functionality:

    • Write Kafka records to Salesforce objects
    • Insert records using Salesforce Bulk API 2.0
    • Support schema-based and schemaless record values

    Key considerations

    • Insert operations only. Updates, upserts, and deletes are not supported.
    • At-least-once delivery. Duplicate records can occur.
    • Kafka record fields must match Salesforce field API names.

    For configuration and usage details, see the Salesforce sink connector documentation.

  • May 18, 2026

      Improved
      Aiven for Apache Kafka®

    Avro schema references in Karapace 6.1.0

    Karapace 6.1.0 supports schema references for Avro schemas.

    Schema references let you register schemas that depend on other schemas already stored in Schema Registry. This helps you reuse shared definitions across subjects instead of copying the same schema definitions into each schema.

    Karapace also supports schema references for Protobuf schemas. Schema references are not supported for JSON Schema.

    For more information, see Schema references in Karapace.

  • May 15, 2026

      New
      Aiven for PostgreSQL®

    Aiven for PostgreSQL® upgraded to 18.4, 17.10, 16.14, 15.18, and 14.23

    Aiven for PostgreSQL® has been upgraded to latest minor versions 18.4, 17.10, 16.14, 15.18, and 14.23, which contain a variety of fixes to previous versions. Removing bugs and security vulnerabilities increases database performance, improves service availability, and helps ensure business continuity. Existing instances will be scheduled for a rolling upgrade as part of our standard maintenance cycle.

    See PostgreSQL release notes for more details about the PostgreSQL minor releases.

  • May 15, 2026

      Improved
      Aiven for Apache Kafka® Connect

    BigQuery connector for Aiven for Apache Kafka® Connect version 2.13.0

    The BigQuery connector has been upgraded to version 2.13.0. This release improves reliability for connector deployments that write to BigQuery tables from multiple tasks or connector instances.
    This version includes:

    • Added retry-and-reconcile handling for concurrent schema update failures in GCS to BigQuery load jobs.
    • Added write-attempt metadata with putAttemptId, which helps downstream systems distinguish rows written by different Kafka Connect put() attempts.
    • Updated dependency versions, including Jackson, Jetty, and Apache Kafka clients.

    For more information, refer to the GitHub release notes for the BigQuery connector for Apache Kafka.