Zilliz + Apache Spark
by Zilliz · freemium · Last verified 2026-03-17
Connector linking Zilliz Cloud (managed Milvus) with Apache Spark for large-scale batch embedding ingestion and vector ETL pipelines. Enables parallel document embedding across Spark executors with direct write to Zilliz collections, supporting data lake to vector store pipelines at petabyte scale.
https://zilliz.com/blog/use-apache-spark-to-batch-insert-data-into-milvus ↗D
D—Poor
Adoption: DQuality: AFreshness: ACitations: DEngagement: F
Specifications
- License
- Apache 2.0
- Pricing
- freemium
- Capabilities
- batch-vectorization, parallel-embedding, data-lake-integration, schema-mapping, bulk-insert
- Integrations
- zilliz, apache-spark, milvus
- Use Cases
- large-scale-data-ingestion, vector-etl, data-lake-ai, batch-embedding-pipelines
- API Available
- Yes
- Tags
- zilliz, apache-spark, batch-vectorization, etl, data-pipeline
- Added
- 2026-03-17
- Completeness
- 100%
Index Score
38.7Adoption
38
Quality
80
Freshness
80
Citations
30
Engagement
0
Put AI to work for your business
Deploy this integration alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.