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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

OutcomeOps serves as a Context Engineering platform tailored for enterprise software teams, allowing seamless deployment through Terraform directly within your AWS account—ensuring that infrastructure remains private and that no data exits your environment. This platform offers two primary features built upon a shared knowledge base: Organizational Intelligence enables integration with tools like GitHub, Confluence, Jira, SharePoint, Outlook, and MS Teams, allowing users to pose inquiries in simple language and receive cited responses synthesized from various sources in mere seconds. Additionally, auto-generated code maps render your entire codebase easily searchable without the need to manually sift through files. AI Engineering transforms issues from GitHub and tickets from Jira into production-ready pull requests that include code, testing, and infrastructure, all aligned with your specific Architectural Decision Records (ADRs) and organizational standards. This isn't just a mere autocomplete function; it offers comprehensive feature generation while upholding your company's development patterns. Furthermore, it accommodates multiple programming languages, including SAP's ABAP, and the average cost for feature generation is between $2 and $4 in AWS Bedrock fees, billed directly to AWS. Designed for single-tenant environments, it is also prepared for air-gap scenarios, emphasizing security and efficiency in enterprise operations.

Description

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace No 
ChatGPT No 
ChatGPT Plus No 
ChatGPT Pro No 
Cohere No 
Confluence Yes 
Coral No 
Docusign Yes 
Google Cloud Platform No 
Google Drive Yes 
HoneyHive No 
Hugging Face No 
IBM watsonx.data No 
Java No 
Jira Yes 
Microsoft 365 Yes 
Microsoft OneDrive Yes 
Microsoft SharePoint Yes 
Microsoft Teams Yes 
Milvus No 

Integrations

Azure Marketplace Yes 
ChatGPT Yes 
ChatGPT Plus Yes 
ChatGPT Pro Yes 
Cohere Yes 
Confluence No 
Coral Yes 
Docusign No 
Google Cloud Platform Yes 
Google Drive No 
HoneyHive Yes 
Hugging Face Yes 
IBM watsonx.data Yes 
Java Yes 
Jira No 
Microsoft 365 No 
Microsoft OneDrive No 
Microsoft SharePoint No 
Microsoft Teams No 
Milvus Yes 

Pricing Details

Email Sales for Enterprise Pricing
Free Trial Yes 
Free Version No 

Pricing Details

$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 Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

OutcomeOps

Founded

2025

Country

United States

Website

www.outcomeops.ai

Vendor Details

Company Name

Zilliz

Founded

2017

Country

United States

Website

zilliz.com

Product Features

Product Features

Database

Backup and Recovery Yes 
Creation / Development No 
Data Migration Yes 
Data Replication No 
Data Search Yes 
Data Security Yes 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries Yes 
Relational Interface No 
Virtualization No 

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