Hevo Data vs VAST Data

Side-by-side comparison of AI visibility scores, market position, and capabilities

VAST Data leads in AI visibility (74 vs 52)
Hevo Data logo

Hevo Data

ChallengerModern Data Stack & Analytics Engineering

Data Integration & ELT

No-code data pipeline and real-time ELT platform; San Francisco/Bengaluru; raised $42M+ from Sequoia India; supports 150+ data sources;

AI VisibilityBeta
Overall Score
C52
Category Rank
#89 of 161
AI Consensus
82%
Trend
stable
Per Platform
ChatGPT
47
Perplexity
55
Gemini
52

About

Hevo Data is a no-code data pipeline and real-time ELT platform founded in 2017 and headquartered in San Francisco, California, with core engineering in Bengaluru, India. The company was founded by Manish Jethani and Sourabh Agarwal to provide a simpler alternative to complex, code-heavy data pipeline tools for data teams that do not have dedicated data engineering resources. Hevo's platform enables analysts and non-engineers to connect data sources, define transformations using a visual interface or Python, and load data into cloud data warehouses without writing connector code or managing pipeline infrastructure.\n\nHevo raised $42 million in funding from investors including Sequoia Capital India, Qualgro, and Unusual Ventures. The platform supports more than 150 data sources including databases, SaaS applications, advertising platforms, payment processors, and custom webhooks. Its real-time data pipeline engine processes and delivers data with sub-minute latency for streaming sources, making it suitable for analytics use cases that require near-real-time freshness. Hevo's automatic schema management handles changes in source schemas without pipeline failures, addressing one of the most common maintenance burdens for data teams.\n\nHevo positions itself as a cost-effective alternative to Fivetran and Stitch for mid-market companies and growing data teams that need broader connector coverage at lower price points. The platform's transformation capabilities include a visual mapping interface for simple field transformations, a Python transformer for complex data manipulation, and dbt integration for warehouse-native transformations. Hevo is particularly popular in the Asia-Pacific market and among companies with significant SaaS-to-warehouse integration needs.

Full profile
VAST Data logo

VAST Data

LeaderData & Analytics

AI Data Infrastructure

Closed a $1 billion Series F at a $30 billion valuation in April 2026, backed by NVIDIA and Fidelity, after surpassing $500M in committed ARR with its AI Operating System platform.

AI VisibilityBeta
Overall Score
B74
Category Rank
#19 of 161
AI Consensus
76%
Trend
stable
Per Platform
ChatGPT
70
Perplexity
70
Gemini
79

About

VAST Data builds the AI Operating System — a unified platform combining all-flash storage (DataStore), an AI-native database (DataBase), and a globally distributed namespace (DataSpace) into a single infrastructure stack. The platform is purpose-built for organizations training, running, and managing AI models and agents at scale. In 2026, VAST launched AgentEngine, a production-grade deployment layer for multi-agent AI stacks with full auditability and MCP integration.

Full profile

AI Visibility Head-to-Head

52
Overall Score
74
#89
Category Rank
#19
82
AI Consensus
76
stable
Trend
stable
47
ChatGPT
70
55
Perplexity
70
52
Gemini
79
53
Claude
73
53
Grok
76

Key Details

Category
Data Integration & ELT
AI Data Infrastructure
Tier
Challenger
Leader
Entity Type
brand
brand

Capabilities & Ecosystem

Capabilities

Only Hevo Data
Data Integration & ELT

Integrations

Only Hevo Data

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