Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • RaimaDB Reviews & Ratings
    4.8 out of 5 stars 12 Ratings
    Company Website for RaimaDB
  • Google Cloud SQL Reviews & Ratings
    4.5 out of 5 stars 554 Ratings
    Company Website for Google Cloud SQL
  • Couchbase Reviews & Ratings
    4.4 out of 5 stars 417 Ratings
    Company Website for Couchbase
  • DbVisualizer Reviews & Ratings
    4.8 out of 5 stars 593 Ratings
    Company Website for DbVisualizer
  • DataHub Reviews & Ratings
    4.5 out of 5 stars 10 Ratings
    Company Website for DataHub
  • NINJIO Reviews & Ratings
    4.8 out of 5 stars 416 Ratings
    Company Website for NINJIO
  • LM-Kit.NET Reviews & Ratings
    4.8 out of 5 stars 29 Ratings
    Company Website for LM-Kit.NET
  • Google Cloud Platform Reviews & Ratings
    4.5 out of 5 stars 61,066 Ratings
    Company Website for Google Cloud Platform
  • Azore CFD Reviews & Ratings
    4.3 out of 5 stars 26 Ratings
    Company Website for Azore CFD
  • TIMi Reviews & Ratings
    4.9 out of 5 stars 68 Ratings
    Company Website for TIMi

What is Zilliz Cloud?

While working with structured data is relatively straightforward, a significant majority—over 80%—of data generated today is unstructured, necessitating a different methodology. Machine learning plays a crucial role by transforming unstructured data into high-dimensional numerical vectors, which facilitates the discovery of underlying patterns and relationships within that data. However, conventional databases are not designed to handle vectors or embeddings, falling short in addressing the scalability and performance demands posed by unstructured data. Zilliz Cloud is a cutting-edge, cloud-native vector database that efficiently stores, indexes, and searches through billions of embedding vectors, enabling sophisticated enterprise-level applications like similarity search, recommendation systems, and anomaly detection. Built upon the widely-used open-source vector database Milvus, Zilliz Cloud seamlessly integrates with vectorizers from notable providers such as OpenAI, Cohere, and HuggingFace, among others. This dedicated platform is specifically engineered to tackle the complexities of managing vast numbers of embeddings, simplifying the process of developing scalable applications that can meet the needs of modern data challenges. Moreover, Zilliz Cloud not only enhances performance but also empowers organizations to harness the full potential of their unstructured data like never before.

What is HCL OneDB?

Design and implement distributed, database-centered enterprise applications that maximize availability, scalability, and performance, with a complete focus on being cloud native. Whether your organization is just starting its transition to cloud-native solutions or is already engaged in a multi-cloud approach, OneDB offers the flexibility, reliability, and ease of use required to meet your application needs. The journey to glean valuable insights and actionable intelligence from your data is greatly facilitated through fully automated database management. This automation significantly reduces the need for specialized technical expertise when bringing new ideas to fruition, thereby helping you stay ahead of the competition. OneDB is particularly suited for application development, providing a broad array of interfaces and APIs alongside support for numerous programming languages, ensuring that developers have everything they require at their fingertips. Additionally, HCL offers the most versatile cloud-native database on the market today, making it an excellent option for enterprises in search of strong solutions. By using OneDB, organizations can simplify their development workflows while reaping the rewards of a highly efficient and responsive database environment. This capability not only enhances productivity but also fosters innovation, allowing businesses to adapt swiftly to changing market demands.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Azure Marketplace
ChatGPT
ChatGPT Plus
ChatGPT Pro
Cohere
Coral
Google Cloud Platform
HoneyHive
Hugging Face
IBM watsonx.data
Java
Milvus
OpenAI
PyTorch

Integrations Supported

AWS Marketplace

API Availability

Has API

API Availability

Pricing Information

$0
Zilliz Cloud on AWS
Compute Unit (CU) - $0.259 / hour
Storage - $0.025 / GB per month

Zilliz Cloud on Google Cloud
Compute Unit (CU) - $0.215 / hour
Storage - $0.02 / GB per month
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Zilliz

Date Founded

2017

Company Location

United States

Company Website

zilliz.com

Company Facts

Organization Name

HCL Software

Date Founded

1976

Company Location

Italy

Company Website

www.hcltechsw.com/onedb

Categories and Features

Anomaly Detection

Not specified

Context Engineering

Not specified

Database

Backup and Recovery
Data Migration
Data Search
Data Security
Queries

Vector Databases

Not specified

Categories and Features

Popular Alternatives

Popular Alternatives

CockroachDB Reviews & Ratings

CockroachDB

Cockroach Labs
4.0 out of 5 stars
Embeddinghub Reviews & Ratings

Embeddinghub

Featureform
MongoDB Reviews & Ratings

MongoDB

4.8 out of 5 stars
GaussDB Reviews & Ratings

GaussDB

Huawei Cloud
Milvus Reviews & Ratings

Milvus

Zilliz
Apache Cassandra Reviews & Ratings

Apache Cassandra

Apache Software Foundation
5.0 out of 5 stars