Software Alternatives & Reviews

HaloITSM VS Qdrant

Compare HaloITSM VS Qdrant and see what are their differences

HaloITSM logo HaloITSM

You’re in good company 100,000+ people, from 50+ countries, trust HaloITSM to deliver their IT Service Desk.

Qdrant logo Qdrant

Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
  • HaloITSM Landing page
    Landing page //
    2022-03-02

HaloITSM is an IT service management solution that helps businesses streamline the entire incident lifecycle, from ticket creation to issue resolution. It enables professionals to update the status of incidents and view details including ticket ID, priority level, issue summary, and date created.

HaloITSM allows organizations to link new incidents with existing requests and share potential solutions with team members or end-users through the knowledge base. Managers can specify default values such as categories, priority, service-level agreements, or mailboxes before creating requests. Customer service agents can view upcoming tasks on a calendar and streamline approval processes by requesting validation on ticket creation or modifications.

HaloITSM facilitates integration with various third-party applications such as Slack, Microsoft Office 365, Okta, Splunk, Facebook, Twitter, and more. Other features of HaloITSM include reporting, compliance management, status tracking, a self-service portal, collaboration, and auditing. It also helps businesses generate maintenance requests, store asset details, and set validation rules across configuration fields using IP addresses or numeric passwords.

  • Qdrant Landing page
    Landing page //
    2023-12-20

Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Qdrant is trusted and high-rated by Machine Learning and Data Science teams of top-tier companies worldwide.

HaloITSM

$ Details
paid Free Trial $49.0 / Monthly (Agent)
Platforms
Web Windows Android iOS Mac OSX Linux Cross Platform iPhone
Release Date
-

Qdrant

$ Details
freemium
Platforms
Linux Windows Kubernetes Docker
Release Date
2021 May

HaloITSM features and specs

No features have been listed yet.

Qdrant features and specs

  • Advanced Filtering: Yes
  • On-disc Storage: Yes
  • Scalar Quantization: Yes
  • Product Quantization: Yes
  • Binary Quantization: Yes
  • Sparse Vectors: Yes
  • Hybrid Search: Yes
  • Discovery API: Yes
  • Recommendation API: Yes

HaloITSM videos

HaloITSM in a Nutshell

More videos:

  • Review - Workflows in HaloITSM
  • Review - HaloITSM Workflow Automation - Tech Talk with Excalibur Data Systems

Qdrant videos

No Qdrant videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to HaloITSM and Qdrant)
ITSM
100 100%
0% 0
Search Engine
0 0%
100% 100
IT Service Management
100 100%
0% 0
Databases
0 0%
100% 100

Questions and Answers

As answered by people managing HaloITSM and Qdrant.

Why should a person choose your product over its competitors?

Qdrant's answer:

Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.

What makes your product unique?

Qdrant's answer:

Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.

Which are the primary technologies used for building your product?

Qdrant's answer:

Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.

User comments

Share your experience with using HaloITSM and Qdrant. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Qdrant seems to be a lot more popular than HaloITSM. While we know about 38 links to Qdrant, we've tracked only 2 mentions of HaloITSM. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

HaloITSM mentions (2)

  • College sysadmin here - what Service Desk/ITSM platform should I be looking at?
    Https://haloitsm.com/ might be a good fit. It's a solid, full featured system with a huge number of features. Source: over 1 year ago
  • Helpdesk Solution
    Looking for a spiceworks replacement also. Does anyone have experience with https://haloitsm.com/ or https://gogenuity.com/. Source: over 2 years ago

Qdrant mentions (38)

  • Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
    Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker. - Source: dev.to / 4 days ago
  • Boost Your Code's Efficiency: Introducing Semantic Cache with Qdrant
    I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours. - Source: dev.to / 11 days ago
  • Ask HN: Has Anyone Trained a personal LLM using their personal notes?
    I'm currently looking to implement locally, using QDrant [1] for instance. I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2]. [1]. https://qdrant.tech/. - Source: Hacker News / about 1 month ago
  • Open-source Rust-based RAG
    There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb. - Source: Hacker News / about 2 months ago
  • Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant
    Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance. - Source: dev.to / 2 months ago
View more

What are some alternatives?

When comparing HaloITSM and Qdrant, you can also consider the following products

Freshservice - Freshservice: the one-stop cloud solution for all your IT management needs.

Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

ALVAO IT Service Management - Manage everything from ticketing to asset tracking and boost your business with one powerful ITSM platform that eases your IT department workload.

Weaviate - Welcome to Weaviate

Jira Service Desk - IT service desk and customer service software by Jira Service Desk. Powerful ticketing system used by 25,000+ organizations. Try it free today.

pgvecto.rs - Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres. Revolutionize Vector Search, not Database. - tensorchord/pgvecto.rs