Astrato
Astrato is a London-based business intelligence platform founded in September 2023 by Martin Mahler and the team behind Vizlib, which scaled to $22 million in annual recurring revenue before its 2023 acquisition.
Profile
Cloud-native business intelligence platform that lets teams build live, interactive dashboards and data apps directly on Snowflake, BigQuery, and other cloud warehouses without copying data.
Astrato is a London-based business intelligence platform founded in September 2023 by Martin Mahler and the team behind Vizlib, which scaled to $22 million in annual recurring revenue before its 2023 acquisition. The company built a warehouse-native BI solution addressing what Mahler saw as an industry mismatch: traditional BI tools copy data from cloud warehouses and lag behind modern data teams' capabilities, while most industry players had yet to adapt to the cloud-native era. The platform offers live-query dashboarding, no-code data apps with writeback capabilities, and embedded analytics that run directly on cloud data warehouses including Snowflake, BigQuery, Databricks, ClickHouse, Redshift, and PostgreSQL.
In April 2025, Astrato raised $5 million in seed funding led by Big Pi Ventures with participation from Propelling Tech Ventures and over 30 strategic angels. The round came on the heels of 5x year-over-year revenue growth and a customer base spanning fintech, healthcare, and SaaS. Astrato's go-to-market emphasizes warehouse-native architecture—eliminating data copies, governance risks, and extract-transform-load latency—and increasingly AI-native features including natural language querying, AI-assisted measure generation, and integration with cloud LLMs via Snowflake Cortex.
The company employs approximately 30 people across nine countries. Notable customers include IAG Loyalty, PetScreening, Enolytics, and GlobalData. In May 2025, Astrato announced Snowflake Cortex integration and partnered with Australian consulting firm Notitia to extend its reach into Asia-Pacific markets.
Who buys this
- SaaS and fintech firms embedding customer-facing analytics
- Healthcare organizations with compliance and data residency requirements
- Mid-market retailers and consumer goods companies modernizing BI stacks
- Enterprise teams replacing legacy BI tools like Qlik, Tableau, and Looker with cloud-native alternatives
- Operators and product teams requiring real-time, self-service analytics and data apps
Publicly disclosed clients
- IAG Loyalty
- PetScreening
- Enolytics
- GlobalData
- Duracell
- Natura Bissé
Strengths and what to watch
Strengths
- Direct query architecture that pushes computation to the warehouse, eliminating data extracts and reducing latency and cost
- Native writeback turning dashboards into operational apps with conflict handling and workflow approvals
- Warehouse-agnostic design supporting Snowflake, BigQuery, Databricks, ClickHouse, and emerging data platforms
Watch for
- Early-stage runway: 30-person team, ~$3.4M revenue (2025), and $5M seed deployed for go-to-market and product expansion; Series A timing and capital needs unclear
- Brand footprint: Astrato has smaller enterprise presence than Tableau, Looker, Sisense; winning primarily on TCO and warehouse-native fit, not brand recognition
- Competitive consolidation risk: Omni Analytics acquired embedded BI platform Explo in October 2025; larger players (Sigma, Metabase) expanding embedded offerings
Key Information
- Industry
- Visualization
- Founded
- 2023
- Headquarters
- London, UK
Frequently Asked Questions
What is Astrato?
Astrato is a cloud-native business intelligence platform founded in 2023 that builds live, interactive dashboards directly on cloud data warehouses like Snowflake and BigQuery without copying data. The platform eliminates data extracts, reducing latency and cost while supporting real-time analytics on warehouse-native architecture.
Who founded Astrato and when?
Astrato was founded in September 2023 by Martin Mahler and the team behind Vizlib, a company that scaled to $22 million in annual recurring revenue before acquisition in 2023. The London-based platform was created to address the gap in cloud-native business intelligence solutions.
What data warehouses does Astrato support?
Astrato supports Snowflake, BigQuery, Databricks, ClickHouse, Redshift, and PostgreSQL. The warehouse-agnostic design enables teams to build live dashboards and interactive data apps directly on their existing cloud data infrastructure without any data extraction, significantly reducing latency, cost, and governance risks.
Does Astrato have AI features?
Yes. Astrato features AI-native capabilities including natural language querying, AI-assisted measure generation, and cloud LLM integration via Snowflake Cortex. As of May 2025, the platform natively supports Claude, Meta, DeepSeek, and Mistral models for intelligent self-service analytics and data exploration.
Can I build operational apps with Astrato?
Yes. Astrato's native writeback capability transforms dashboards into fully operational applications with built-in conflict handling and workflow approvals. Teams can update data directly from dashboards, enabling real-time decision-making without leaving the analytics interface or managing manual data entry processes separately.
How does Astrato compare to Tableau or Looker?
Astrato differentiates as a warehouse-native BI tool, eliminating data copies that traditional platforms like Tableau and Looker require. It prioritizes cost, latency, and governance by running queries directly on cloud warehouses. Still early-stage with smaller enterprise presence but gaining traction rapidly.
How Astrato compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Astrato
- Positioning
- Cloud-native business intelligence platform that lets teams build live, interactive dashboards and data apps directly on Snowflake, BigQuery, and other cloud warehouses without copying data.
- Customer segments
- SaaS and fintech firms embedding customer-facing analytics
- Strengths
- Direct query architecture that pushes computation to the warehouse, eliminating data extracts and reducing latency and cost
- Watch for
- Early-stage runway: 30-person team, ~$3.4M revenue (2025), and $5M seed deployed for go-to-market and product expansion; Series A timing and capital needs unclear
Sigma Computing
- Positioning
- Warehouse-native BI with spreadsheet UX over Snowflake and Databricks, no data extracts required.
- Customer segments
- Mid-to-large enterprise data and analytics teams on cloud warehouses, including financial services buyers.
- Strengths
- Live SQL pushdown to Snowflake and Databricks via spreadsheet interface, no extract or SQL skill required from end users.
- Watch for
- Embedded analytics is iframe-only, no JavaScript SDK, no CSS control, and no bi-directional app communication.
- Recent moves
- Raised $80M Series E at $3B valuation in May 2026, backed by Databricks, ServiceNow, and Workday Ventures.
Omni Analytics
- Positioning
- Warehouse-native BI platform combining governed semantic layer with self-serve SQL, spreadsheet, and embedded analytics for cloud data teams.
- Customer segments
- Mid-market and enterprise data teams, embedded analytics buyers, SaaS companies on Snowflake, BigQuery, or Redshift.
- Strengths
- Unified bi-directional dbt-synced semantic layer that enforces a single metrics definition across internal dashboards and customer-facing embedded analytics.
- Watch for
- Complex dashboards can crash, and AI querying routes through third-party LLMs, raising compliance concerns for HIPAA and financial services customers.
- Recent moves
- April 2026: raised $120M Series C at $1.5B valuation, led by ICONIQ, following October 2025 acquisition of embedded analytics platform Explo.
Looker
- Positioning
- Governed semantic layer BI for Google Cloud. Warehouse-native query via LookML. Gartner Leader two consecutive years.
- Customer segments
- Large enterprises on GCP/BigQuery. Centralized data teams and ISVs embedding analytics. Poor fit for SMBs.
- Strengths
- LookML semantic layer enforces single metric definition across all queries, with deep BigQuery IAM integration.
- Watch for
- LookML requires specialist headcount, creating reporting bottlenecks. Licensing starts at $36k/yr and scales past $360k/yr.
- Recent moves
- May 2026, Google Cloud Next: launched Looker BI Agents for agentic downstream actions via the semantic layer.
Sources
- astrato.io — Founding (2023), team size (~25 people across 9 countries), founders, mission, and product overview
- astrato.io — April 2025 $5M seed round led by Big Pi Ventures, use of capital, business metrics (5x YoY growth), customer segments
- techfundingnews.com — Seed funding details, founder background (Vizlib exit with $22M ARR), growth metrics, technology positioning
- www.uktechnews.info — April 29, 2025 seed round announcement, lead investor Big Pi Ventures, angel participation
- astrato.io — 2024 product releases (50+ releases, 100+ features), AI integration, visualization types, ClickHouse integration
- www.g2.com — Competitive positioning vs. Looker, Sisense, Tableau; differentiation in embedded analytics and writeback
- www.astrato.io — May 2025 Snowflake Cortex integration, LLM support (Claude, Meta, DeepSeek, Mistral)
- www.mi-3.com.au — May 13, 2025 Notitia partnership announcement for Asia-Pacific market expansion