Name: Vespa
Author: Open Source

Help Desk

Web and Video Conferencing

Customer Support

Interactive Application Security Testing (IAST)

Kubernetes Monitoring

Software Repositories

WebOps

Development

Academic Advising

Classroom Management

Education

Business Intelligence (BI)

Collaboration

File Sharing

Workspace Planning

Enterprise

Accounting

Invoicing

Finance and Accounting

Applicant Tracking

Background Check

Corporate Learning Management

Diversity, Equity, and Inclusion (DEI)

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Business Internet Service Providers (ISPs)

Cloud Storage

Computerized Maintenance Management Systems (CMMS)

Configuration Management Databases

Content Delivery Networks (CDN)

Data Collaboration

Data Observability

Database Load Balancing

Disaster Recovery as a Service (DRaaS)

Enterprise Architecture Management

Fraud Detection

IT Operations Analytics

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Internet Security

MLOps

Network Monitoring

Network Performance Monitoring

Release Management

SOA Application Gateways

Secret Managers

Technology Scouting Software

Threat Intelligence

WiFi Hotspot

Workload Automation

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Digital Asset Management

Digital Content Creation

Email Marketing

Landing Page

Marketing Automation

Online Proofing

Retail Media Advertising

Search Engine Marketing (SEM)

Social Media Management

Social Media Marketing

Survey & Forms Building

Swag Management

Video Collaboration

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Social Commerce

Sales

Video Surveillance

Security

Oil and Gas

Real Estate

Vertical-Specific

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Vespa, developed by Vespa.ai, is a platform that integrates data and AI capabilities for online applications. According to the vendor, it offers a wide array of query capabilities, a robust computation engine, seamless operability, efficient data management, and comprehensive application development support. The product is designed to cater to businesses of all sizes in various industries, including e-commerce, media and publishing, financial services, telecommunications, and travel and hospitality.

## Key Features

**Query capabilities in Vespa**: According to the vendor, Vespa supports querying by vectors, structured data, and text. It enables nearest neighbor, approximate (ANN) or exact querying with various distance metrics for vectors. For structured data, Vespa allows exact, substring, and regular expression querying, numerical range querying, geo-distance querying, and predicates. Additionally, Vespa supports full-text querying with tokenization, stemming, and positional information.

**Computation engine**: The vendor states that Vespa's computation engine empowers users to define mathematical expressions over scalars and tensors. Computation can be written manually or imported from machine learning tools such as TensorFlow, LightGBM, XGBoost, or ONNX-compatible tools. It can be performed on document fields, query values, application package data, or built-in features within Vespa. Vespa supports both sparse and dense tensors, enabling a wide range of computation on collections of numbers. Multi-phase inference allows for allocating more computational power to the best candidate items by utilizing a simpler model for initial selection and a more advanced model for the top candidates.

Oracle Database, currently in edition 23ai, is a converged, multimodel database management system. It is designed to simplify development for AI, microservices, graph, document, spatial, and relational applications.

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SingleStore aims to enable organizations to scale from one to one million customers, handling SQL, JSON, full text and vector workloads in one unified platform.

OnDemand

SingleStore

Vespa

Vector Databases

Open Source

Vector Database

Vector Database features help store data as vectors.

Vector Data Connection

Users can connect the vector database software with various data sources to import and access vector data.

Vector Data Editing

Provides tools for users to create, modify, and delete vector data, such as points, lines, and polygons.

Attribute Management

Allows users to add, edit, and manage attributes associated with vector data, such as names, descriptions, or classification tags.

Geospatial Analysis

Enables users to perform geospatial analysis on vector data, such as spatial queries, spatial joins, and spatial analysis operations.

Geometric Transformations

Offers tools for geometric transformations, such as scaling, rotation, or translation, to modify vector data.

Vector Data Visualization

Provides options for visualizing vector data through maps, charts, or graphical representations.

Coordinate Reference System Management:

Supports the management and transformation of vector data between different coordinate reference systems, ensuring accurate spatial positioning.

Data Import/Export

Allows users to import vector data from various formats (e.g., shapefile, GeoJSON) and export vector data to compatible formats for interoperability.

Symbolization and Styling

Provides options for symbolizing and styling vector data, such as changing colors, line thickness, or symbol types.

Data Sharing and Collaboration

Enables users to share vector data with others and collaborate on projects or datasets, with options for access control and versioning

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Vespa

Overview

What is Vespa?