Exasol
Exasol AG builds an in-memory, MPP-based analytical database engine sold to enterprises in banking, insurance, healthcare, retail, and the public sector via on-premises licenses, AWS-hosted SaaS, and a freemium-led PLG funnel.
- Company typePublic
- Founded2000
- HeadquartersNuremberg, Germany
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
What Exasol does
Exasol AG is a publicly listed German analytics database company (Xetra: EXLGF, market cap ~€62.3M as of December 2025) headquartered in Nuremberg with wholly-owned subsidiaries in Germany, the UK, France, Switzerland, and the USA. The company develops and sells an in-memory analytical database engine built on a Massively Parallel Processing (MPP) architecture with self-optimizing auto-tuning, designed to deliver high-speed query performance on enterprise-scale data volumes. Its product portfolio spans the Exasol Analytics Engine (enterprise on-premises, RAM-based licensing), Exasol SaaS (a fully managed cloud service on AWS with usage-based pay-as-you-go pricing across XS-to-3XL cluster tiers), Exasol Community Edition and Exasol Personal (freemium tiers for testing and individual use), and a suite of feature products including Exasol Text AI, the eviit-powered Semantic Layer, MariaDB Exa, Lakehouse Turbo for Databricks, and a Model Context Protocol (MCP) integration for AI agents.
The company monetizes through a mix of subscription-based enterprise licensing (on-premises RAM-based), usage-based cloud SaaS pricing (separating compute from storage at $3.3/hr to $158.4/hr cluster tiers plus $25/TB/month storage), professional services, and freemium adoption paths. Its go-to-market combines direct enterprise field sales (led by CEO Joerg Tewes and CFO/COO Jan-Dirk Henrich), a product-led growth motion through Community Edition and Exasol Personal, and a channel network that includes the adesso Tech Hub in Chennai, sovereign European cloud partners STACKIT and Exoscale, and integration partnerships with MariaDB and Databricks. Target customers are concentrated in banking and insurance, healthcare and pharmaceuticals, eCommerce and retail, hedge funds, and the public sector — verticals where data sovereignty, regulatory compliance, and large-volume analytical workloads are decisive buying criteria.
Exasol serves more than 500 installations across 50+ countries with named enterprise customers including T-Mobile, Mercedes-Benz, Dell, Sony Music, adidas, Otto, Fresenius Medical Care, Piedmont Healthcare, Helsana, and bank99. The company holds ISO 27001, PCI DSS, and GDPR compliance certifications, and leverages European data sovereignty positioning as a key differentiator against US hyperscaler-led analytics platforms. In 2025–2026, Exasol added major partnerships (MariaDB, STACKIT, Exoscale, adesso India, Databricks), launched the agentic-era Exasol 2026.1 release, and transitioned its Supervisory Board chairmanship to Dr. Philipp Oberndorfer following a return to profitability.
Exasol firmographics
Firmographics- Name
- Exasol
- Legal name
- Exasol AG
- Website
- https://exasol.com
- Company type
- Public
- Founded year
- 2000
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Short description
- Exasol AG builds an in-memory, MPP-based analytical database engine sold to enterprises in banking, insurance, healthcare, retail, and the public sector via on-premises licenses, AWS-hosted SaaS, and a freemium-led PLG funnel.
- Ownership category
- akta.pro rank
Exasol industry classification
Industry- Product category
- Analytics Database Software
- NAICS
- Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Data Warehouse/Lakehouse Performance Optimization & Cost Management (HDAEABAL)
- akta.pro secondary industry
- In-Memory Databases (HDAEAAAD)
Keywords
Where Exasol is headquartered
LocationHeadquarters
- HQ city
- Nuremberg
- HQ country
- Germany
- HQ region
- Europe
Offices1 record
Markets served
Exasol business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Software Licenses (On-Premises): Traditional software licensing model for on-premises deployments. RAM-based licensing allows organizations to deploy the analytics engine in their own infrastructure.
- Exasol SaaS: Fully managed cloud service with pay-as-you-go and pre-purchase pricing options. Separates compute from storage for cost optimization. Available in US and European regions.
- Exasol Personal: Free version for individual personal use, driving adoption and future enterprise conversion
- Community Edition: Free on-premises version preconfigured with sample data and scripts for testing up to 200GB
- Professional Services: Implementation, training, and consulting services for enterprise deployments
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | XS - Entry-level SaaS cluster |
| Usage-based | Pay-as-you-go | S - Small workload cluster |
| Usage-based | Pay-as-you-go | M - Medium workload cluster |
| Usage-based | Pay-as-you-go | L - Large workload cluster |
| Usage-based | Pay-as-you-go | XL - Extra large cluster |
| Usage-based | Pay-as-you-go | 2XL - Maximum single cluster |
| Usage-based | Pay-as-you-go | 3XL - Maximum cluster size |
| Subscription | Annual | Enterprise On-Premises |
| Freemium | Monthly | Exasol Personal |
| Freemium | Monthly | Exasol Community Edition |
Go-to-market motion3 records
Distribution channels6 records
Marketing channels10 records
Exasol product offering
Product offeringCore offering
Exasol develops and sells a high-performance in-memory analytical database engine (the Exasol Analytics Engine) designed for enterprise data warehousing, analytics acceleration, and AI/ML workloads. The engine uses Massively Parallel Processing (MPP) architecture and self-optimizing technology, available as on-premises software, a fully managed SaaS cloud service, and free Personal/Community editions. Customers include banks, insurers, healthcare organizations, retailers, and public sector entities running large-scale analytical workloads.
Product overview
Exasol is an analytics technology company offering a unified product portfolio centered on its in-memory Analytics Engine. The portfolio spans from individual to enterprise deployment: Exasol Personal provides free individual use with in-database AI capabilities, while the Exasol Analytics Engine serves enterprise customers with hybrid, on-premises, and multi-cloud deployment options. The platform is organized around core use cases including Data Warehouse, Analytics Acceleration, AI/ML Execution (Sovereign AI), and Lakehouse Turbo. Key sub-products and features include Exasol Text AI for unstructured data analysis, Exasol Semantic Layer (developed with eviit) for metric unification across BI tools, MariaDB Exa for unified transactional and analytical workloads, and Model Context Protocol (MCP) for AI agent integration. Exasol also offers a fully managed SaaS deployment option and Exasol Community Edition for free on-premises testing.
Differentiator
Problem solved
Functional benefit
Brands
- Exasol Analytics Engine: The company's flagship in-memory analytical database engine designed for high-performance analytics, data warehousing, and AI/ML workloads.
- Exasol Personal
- Exasol Community Edition
- Exasol SaaS
- Exasol Text AI
- Lakehouse Turbo
- MariaDB Exa
- Exasol Semantic Layer
Products and services
- Exasol Analytics Engine World's fastest in-memory analytics database engine purpose-built for high-performance analytical workloads. Features MPP architecture, self-optimizing auto-tuning, and supports AI/ML execution with full data sovereignty control. Available as on-premises software for enterprise data warehousing and analytics acceleration.
- Exasol Personal Free version of the Exasol Analytics Engine for personal use. Provides unlimited clusters, no data limits, and in-database AI capabilities for individual data professionals, learners, and prototypers.
- Exasol Community Edition Free, on-premises version of Exasol preconfigured with sample data and scripts for testing purposes, supporting up to 200GB of data with full functionality for evaluation and trial use.
- Exasol SaaS Fully managed SaaS version of the Exasol Analytics Engine with pay-as-you-go pricing, separating compute from storage for cost optimization. Available in US East, US West, and European regions. Cluster sizes range from XS (8 vCPUs / 64GB) to 3XL (384 vCPUs / 3072GB).
- Exasol Text AI AI-powered text analysis capability for processing unstructured data within the Exasol database, enabling semantic search and natural language understanding of text content with contextual intent matching.
- Lakehouse Turbo Lakehouse acceleration product that speeds up Databricks workloads without code changes, achieving sub-second query performance and up to 40% compute cost reduction for Medallion architectures.
- Exasol Semantic Layer Semantic layer solution developed with partner eviit that unifies metrics across BI tools, providing consistent definitions and governance for enterprise analytics deployments.
- MariaDB Exa Joint solution with MariaDB that unites live transactional data with high-speed Exasol analytics, enabling real-time insights without complex ETL pipelines for unified transactional and analytical workloads.
Quantifiable outcome
- Up to 1000x faster query performance compared to traditional databases
- +5 more outcomes
Companies that use Exasol
Customer profileNamed customers21 records
Segments6 records
Ideal customer profiles5 records
Exasol technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration56 records
AI capability11 records
Feature10 records
Exasol partnerships and signals
Strategic signalPartnerships
Six partnerships are on record, tiered flagship and core.
- DatabricksflagshipLakehouse Turbo integration enables Exasol to speed up Databricks workloads without code changes, delivering sub-second performance and up to 40% compute cost reduction.
- adesso IndiacoreExasol Tech Hub launched in Chennai, India to support Exasol's global AI-powered analytics initiatives. The hub focuses on developing AI-native features and leveraging India's talent pool. Aims to foster AI innovation and create engineering jobs.
- MariaDBcoreStrategic partnership announced October 2025 to deliver unified, high-performance analytics with unprecedented cost efficiency. The MariaDB Exa solution combines live transactional data with high-speed analytics, reducing ETL complexity and enabling near-real-time insights.
- STACKITcorePartnership for data-sovereign analytics in the European cloud. STACKIT offers Exasol with guaranteed data sovereignty for European customers requiring compliance with GDPR and EU data regulations.
- ExoscalecoreStrategic partnership for European cloud deployment with data sovereignty focus. Exoscale provides Swiss-based cloud infrastructure with Exasol analytics capabilities.
- AWS (Amazon Web Services)coreExasol SaaS is built on AWS infrastructure, leveraging AWS security, scale, and global infrastructure for the managed cloud service.
Scale indicators13 records
Recent moves6 records
Expansion highlights6 records
Exasol competitors and assessment
Company assessmentDirect peers
- Databricks: Lakehouse platform serving many of the same enterprise analytical workloads as Exasol; simultaneously a partner via the Lakehouse Turbo integration (Oct 2025) and a competitor for greenfield lakehouse deployments. Comparable on data engineering and AI/ML workloads for large enterprises.
- Teradata: Enterprise data warehouse incumbent serving large banking, insurance, and telecom customers with on-premises and cloud deployments. Direct competitor in legacy data-warehouse modernization deals against which Exasol benchmarks 10–1000x performance gains.
- Snowflake: Cloud-native data warehouse that competes head-on with Exasol for enterprise analytical workloads. Both target the same SQL-on-large-data use case for regulated, BI-heavy customers and overlap on data-warehouse-replacement and analytics-acceleration pitches.
- Oracle Exadata: Engineered system for high-performance Oracle database and data warehouse workloads; a frequent comparison point in Exasol replacement deals at large enterprises with mixed transactional and analytical estates.
- ClickHouse: Open-source columnar OLAP database delivering sub-second analytical query performance; competes with Exasol on speed-of-query as a value proposition and increasingly on cost-of-deployment for cloud and hybrid customers.
- SingleStore: Distributed in-memory SQL database with HTAP capabilities; one of the closest direct peers to Exasol on in-memory MPP architecture and real-time analytical workloads.
- SAP HANA: Long-standing in-memory MPP database with strong footprint in banking, insurance, and large ERP-adjacent enterprises — directly comparable to Exasol's in-memory analytics engine and similar regulated-industry customer base.
Emerging players
- Firebolt: Cloud-native data warehouse optimizing for sub-second analytical queries at scale; emerging direct competitor (and partial complement) in the same high-performance analytics niche where Exasol competes on speed and TCO.
- MariaDB: Open-source relational database that became an Exasol partner via the MariaDB Exa joint solution (Oct 2025); competes tangentially in HTAP deployments and works alongside Exasol's analytics engine on unified transactional + analytical workloads.
Broad incumbents
- Vertica (OpenText): Columnar analytical database with a long enterprise footprint in telco, finance, and public sector; competes with Exasol in large-scale analytical query workloads and large-data customer base.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
Exasol social profiles
Digital presenceExasol compliance and trust
Trust signalCompliance3 records
Exasol financial estimates
Financial estimateRevenue estimate
Valuation estimate
Exasol leadership team
Management profileNumber of profiles
Profiles9 records
Exasol subsidiaries and ownership
Company hierarchySubsidiaries5 records
Exasol funding detail
Funding detailFunding overview
Funding rounds1 record
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Exasol M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Exasol
What does Exasol do?
Exasol develops and sells a high-performance in-memory analytical database engine (the Exasol Analytics Engine) designed for enterprise data warehousing, analytics acceleration, and AI/ML workloads. The engine uses Massively Parallel Processing (MPP) architecture and self-optimizing technology, available as on-premises software, a fully managed SaaS cloud service, and free Personal/Community editions. Customers include banks, insurers, healthcare organizations, retailers, and public sector entities running large-scale analytical workloads.
Is Exasol a public or private company?
Exasol is a public company. It is classified as public and is currently operating.
When was Exasol founded?
Exasol was founded in 2000. It employs 101 to 250 people.
Where is Exasol based?
Exasol is headquartered in Nuremberg, Germany, in the Europe region.
How does Exasol make money?
Five revenue lines are on record. Software Licenses (On-Premises) is the primary driver. The others are exasol SaaS, exasol Personal, community Edition and professional Services.
Who are Exasol's main competitors?
Direct peers on record are Databricks, Teradata, Snowflake, Oracle Exadata, ClickHouse, SingleStore and SAP HANA. Emerging players are Firebolt and MariaDB. Vertica (OpenText) is listed as a broad incumbent.
Does Exasol have an API?
Yes. Exasol provides SDK support for Python, R, Java, and Lua through User Defined Functions (UDFs). The platform supports Virtual Schemas which act as adapters enabling Exasol to connect to external data platforms, query databases, hit HTTP APIs, and run ML models. The Exasol SageMaker extension is available on GitHub for AWS ML integration. Developer documentation is at docs.exasol.com/home.htm.
What industry is Exasol in?
Exasol's product category is Analytics Database Software. Its primary akta.pro industry code is HDAEABAL, Data Warehouse/Lakehouse Performance Optimization & Cost Management, with a secondary code of HDAEAAAD, In-Memory Databases. Its NAICS code is 513210 and its SIC code is 7372.