Milvus 대 Pinecone 대 Zilliz Cloud

심층 분석: Zilliz Cloud 대 Pinecone

개발자, 데이터 과학자 및 아키텍트는 성능과 운영 효율성을 중시하는 강력한 클라우드 네이티브 벡터 데이터베이스 서비스가 필요합니다. 이는 높은 확장성과 성능, 낮은 운영 부담 및 엔터프라이즈급 보안 기능을 갖춘 완전 관리형 벡터 저장 및 검색 서비스를 제공하는 것을 의미하며, 복잡한 벡터 검색 및 머신러닝 작업을 처리하도록 설계되었습니다.

• 벡터 검색 및 관리 기능

  Index	AUTOINDEX Automatically determine the most suitable configurations for searches and indexes	Proprietary Index Static indexing algorithm to Pod bindings
  Hybrid Search	Multi-vector + Hybrid Search Enable more precise query results by allowing hybrid sparse & dense search, multimodal search, and vector search with scalar filtering	Sparse + Dense Vector Search Offer nuanced similarity searches across sparse and dense embeddings but don’t support multimodal search

  Index	AUTOINDEX Automatically determine the most suitable configurations for searches and indexes
  Hybrid Search	Multi-vector + Hybrid Search Enable more precise query results by allowing hybrid sparse & dense search, multimodal search, and vector search with scalar filtering

  Index	Proprietary Index Static indexing algorithm to Pod bindings
  Hybrid Search	Sparse + Dense Vector Search Offer nuanced similarity searches across sparse and dense embeddings but don’t support multimodal search

• 클라우드 네이티브 기능 및 성능

  Separate Compute and Storage resources	Yes Enable greater scalability and cost-efficiency for various workloads by separating compute and storage resources consumed, which is important for production applications	No Resources cannot be independently adjusted to just the results that meet specific workload demands
  Data Partitioning	Dynamic Segment Placement Automatically redistribute data among various nodes or segments based on real-time usage patterns, index, query load, or other metrics.	Static Data Sharding Divide data into shards based on predefined rules or keys, and these shards are distributed across different servers or clusters.

  Separate Compute and Storage resources	Yes Enable greater scalability and cost-efficiency for various workloads by separating compute and storage resources consumed, which is important for production applications
  Data Partitioning	Dynamic Segment Placement Automatically redistribute data among various nodes or segments based on real-time usage patterns, index, query load, or other metrics.

  Separate Compute and Storage resources	No Resources cannot be independently adjusted to just the results that meet specific workload demands
  Data Partitioning	Static Data Sharding Divide data into shards based on predefined rules or keys, and these shards are distributed across different servers or clusters.

• 엔터프라이즈 프로덕션 준비 상태

  Resiliency Guarantee	99.95% uptime SLA	99.9% uptime SLA
  Monitoring	Built-in Metrics Granular native usage metrics, incl. QPS resource, query latency, and more	Integration with third-party monitoring tools available Integration with third-party monitoring systems like Prometheus and Datadog.

  Resiliency Guarantee	99.95% uptime SLA
  Monitoring	Built-in Metrics Granular native usage metrics, incl. QPS resource, query latency, and more

  Resiliency Guarantee	99.9% uptime SLA
  Monitoring	Integration with third-party monitoring tools available Integration with third-party monitoring systems like Prometheus and Datadog.

• 보안 및 신뢰

  Authorization	RBAC 2 organizational roles, 2 project roles, and 4 built-in cluster roles available for granular permission controls	RBAC 2 organizational roles available for permission controls
  Private Connection	Support Private Link Enhance data security and network performance	Support Private Link for Dedicated Enterprise Cluster ONLY Come with a high minimum commitment and special setup
  Data Encryption	Encryption both in-transit and at-rest	Encryption both in-transit and at-rest
  Compliance & Privacy	SOC 2 Type II, ISO27001, GDPR-ready & HIPAA-ready	SOC 2 Type II, GDPR-ready & HIPAA Compliant
  Enterprise Support	24/7/365 dedicated support	24/7/365 dedicated support

  Authorization	RBAC 2 organizational roles, 2 project roles, and 4 built-in cluster roles available for granular permission controls
  Private Connection	Support Private Link Enhance data security and network performance
  Data Encryption	Encryption both in-transit and at-rest
  Compliance & Privacy	SOC 2 Type II, ISO27001, GDPR-ready & HIPAA-ready
  Enterprise Support	24/7/365 dedicated support

  Authorization	RBAC 2 organizational roles available for permission controls
  Private Connection	Support Private Link for Dedicated Enterprise Cluster ONLY Come with a high minimum commitment and special setup
  Data Encryption	Encryption both in-transit and at-rest
  Compliance & Privacy	SOC 2 Type II, GDPR-ready & HIPAA Compliant
  Enterprise Support	24/7/365 dedicated support

• 배포 유연성

  Cloud Service Provider	Available on AWS, GCP, and Azure	Available on AWS, GCP, and Azure
  Self-hosted Option	Yes Option to bring company data to your own cloud (BYOC) and manage the data stored in the customer’s VPC	No Only fully managed service is available

  Cloud Service Provider	Available on AWS, GCP, and Azure
  Self-hosted Option	Yes Option to bring company data to your own cloud (BYOC) and manage the data stored in the customer’s VPC

  Cloud Service Provider	Available on AWS, GCP, and Azure
  Self-hosted Option	No Only fully managed service is available