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Description
Zerve is the agentic data workspace designed for anyone who works with data, from solo analysts, data scientists and business users alike. Zerve brings together exploration, advanced analysis, collaboration, and production deployment into a single AI-native environment, so that important data work doesn’t stall, break, or disappear.
Zerve is used by data professionals in companies such as BBC, QVC, Dun & Bradstreet, Airbus, and many others.
Zerve makes advanced data work accessible, durable, and deployable from day one, starting with the messy, real-world data most projects begin with. At the heart of Zerve is a new way for humans and AI agents to work together. Zerve’s AI agents understand the full context of a project and actively help plan, build, debug, and iterate across multi-step analyses.
Agents can assist with tasks like cleaning and transforming data, identifying issues, and testing approaches, reducing the manual effort that slows teams down. This means working at a higher level of abstraction without being slowed by setup or syntax. With Zerve, you always have an expert data scientist at your side, guiding decisions, suggesting next steps, and taking action.
Unlike traditional data notebooks, workflows in Zerve are reproducible and stable. Users can work across Python, SQL, and R in a single workspace, connect directly to databases, data lakes, and warehouses, and integrate with Git for version control.
The built-in distributed computing engine powers massively parallel execution for large-scale analysis, simulations, and AI workloads, with multi-agent orchestration coordinating complex pipelines behind the scenes.
Zerve can be used as SaaS, self-hosted, or even on-premise for regulated environments.
Description
You can quickly find answers with the flexible visual query builder. You can access data via your browser or phone and analyze it anywhere you are. No SQL, data scientist, or desktop required. You can learn from your team mates and search for any questions within your organization with shared questions. @mentions, push notifications and shared chat allow you to bring the right people in the conversation and make data actionable. You can easily copy and modify shared questions, export data and change the way charts are displayed so you don't just see someone else's analysis but make it yours. External sharing can be turned on to allow access to data tables and partners outside your domain. In just two clicks, you can access the underlying data tables. Smart typeaheads make it easy to run custom SQL.
API Access
Has API
No
API Access
Has API
No
Integrations
MySQL
Yes
PostgreSQL
Yes
SQL
Yes
Snowflake
Yes
Amazon API Gateway
Yes
Amazon RDS
No
Amazon S3
No
Cube
No
Databricks
No
GitHub
Yes
Integrations
MySQL
Yes
PostgreSQL
Yes
SQL
Yes
Snowflake
Yes
Amazon API Gateway
No
Amazon RDS
Yes
Amazon S3
Yes
Cube
Yes
Databricks
Yes
GitHub
No
Pricing Details
$0
Pro $20/mo, Team $40/mo, Enterprise custom pricing.
Free Trial
No
Free Version
Yes
Pricing Details
$0
Free for small teams, with unlimited questions, and unlimited data sources.
$12/user/mo standard plan with user access control, embeddability, and more.
Enterprise option available to companies needing to self-host, for activedirectory integration, aand for higher support tiers.
$12/user/mo standard plan with user access control, embeddability, and more.
Enterprise option available to companies needing to self-host, for activedirectory integration, aand for higher support tiers.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Zerve AI
Founded
2023
Country
Ireland
Website
www.zerve.ai/
Vendor Details
Company Name
Zing Data
Founded
2021
Country
United States
Website
getzingdata.com
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Science
Access Control
Yes
Advanced Modeling
Yes
Audit Logs
Yes
Data Discovery
Yes
Data Ingestion
Yes
Data Preparation
Yes
Data Visualization
Yes
Model Deployment
Yes
Reports
Yes
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Machine Learning
Deep Learning
Yes
ML Algorithm Library
Yes
Model Training
Yes
Natural Language Processing (NLP)
Yes
Predictive Modeling
Yes
Statistical / Mathematical Tools
Yes
Templates
Yes
Visualization
Yes
Product Features
Big Data
Collaboration
Yes
Data Blends
Yes
Data Cleansing
No
Data Mining
No
Data Visualization
Yes
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
Yes
Predictive Analytics
No
Templates
No
Business Intelligence
Ad Hoc Reports
Yes
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
Yes
Data Analysis
Yes
Key Performance Indicators
Yes
Natural Language Generation (NLG)
No
Performance Metrics
Yes
Predictive Analytics
No
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
Yes
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
Yes
Data Science
Access Control
Yes
Advanced Modeling
Yes
Audit Logs
Yes
Data Discovery
Yes
Data Ingestion
No
Data Preparation
Yes
Data Visualization
Yes
Model Deployment
No
Reports
Yes
Data Visualization
Analytics
Yes
Content Management
No
Dashboard Creation
Yes
Filtered Views
Yes
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
Yes
Mobile App Analytics
A/B Testing
No
Channel Attribution
No
Cohort Analysis
No
Funnel Analysis
No
In-App Events Tracking
No
Push Notifications
Yes
Retention Tracking
No
Revenue Tracking
No
Uninstall Tracking
No
