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    Decorative pattern
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    3. Milvus Destination for Fivetran

    Milvus Destination for Fivetran

    The Milvus destination in Fivetran enables automated ELT pipelines that load data into Milvus as a vector database, supporting AI and similarity search workloads.

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    About this tool

    Milvus Destination for Fivetran

    Category: Data Integration & Migration
    Brand: Fivetran
    Type: Destination (Vector Database)

    Milvus Destination for Fivetran lets you use Fivetran ELT pipelines to load data into Milvus or Zilliz Cloud as a vector database, supporting AI and similarity search workloads such as semantic search, RAG, and multi‑modal search.


    Overview

    • Integrates Fivetran with Milvus, an open‑source vector database built for GenAI applications.
    • Supports both Milvus and Zilliz Cloud (fully managed Milvus) as destinations.
    • Designed to power AI use cases including semantic search, Retrieval‑Augmented Generation (RAG), and multi‑modal search by syncing data into a vector database.
    • Best‑practice recommendation is to run Milvus in Zilliz Cloud for quickest setup.

    Features

    Destination capabilities

    • Milvus and Zilliz Cloud support
      Fivetran can write to self‑managed Milvus or Zillan Cloud clusters as the destination.

    • GenAI and vector search workloads
      Data is loaded into Milvus as vectors suitable for high‑performance similarity search and AI applications (semantic search, RAG, multi‑modal use cases).

    Source connector support

    Only the following Fivetran connectors are supported as sources for this destination:

    • Snowflake (database connector)
    • BigQuery (database connector)
    • Databricks (database connector)

    The documentation also references guidance on how to sync data from sources not directly supported by the Milvus destination, implying workflows or intermediate steps for unsupported sources.

    Deployment model

    • SaaS deployment supported
      Milvus destination is supported when using Fivetran’s SaaS Deployment model.

    Setup and configuration

    • Step‑by‑step setup guide
      A dedicated Milvus setup guide walks through connecting a Milvus vector database (or Zilliz Cloud cluster) as a Fivetran destination.

    • Partner‑built destination
      The Milvus destination is identified as partner‑built, with documentation and implementation maintained by the Milvus/Zilliz team.

    Data type mapping

    Fivetran’s standard data types are mapped to Milvus data types as follows:

    | Fivetran Data Type | Milvus Destination Data Type | | -------------------| -----------------------------| | BOOLEAN | BOOLEAN | | SHORT | INT16 | | INT | INT32 | | LONG | INT64 | | FLOAT | FLOAT | | DOUBLE | DOUBLE | | DECIMAL | VARCHAR | | LOCALDATE | VARCHAR |

    These mappings define how source schema fields are stored in Milvus when synced via Fivetran.


    Integrations

    • Vector Database: Milvus, Zilliz Cloud
    • Supported Source Databases:
      • Snowflake
      • BigQuery
      • Databricks

    Pricing

    • The provided documentation content does not specify any dedicated pricing details or plans specific to the Milvus destination.
    • Fivetran generally operates on usage‑based pricing, described separately in Fivetran’s “Usage‑Based Pricing” documentation, but no Milvus‑specific pricing tiers or constraints are mentioned in the extracted content.
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    Information

    Websitefivetran.com
    PublishedDec 30, 2025

    Categories

    1 Item
    Data Integration & Migration

    Tags

    3 Items
    #Integration#Etl#vector data

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