Exasol

Exasol

Verified

In-Memory Database

High-performance in-memory analytics database for real-time business intelligence.

100-200 employees
Nuremberg, Germany
Founded 2000
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Product Overview

Exasol Analytics Database

High-performance, in-memory analytics database designed for rapid querying of massive datasets with massively parallel processing (MPP) architecture. Delivers 10x faster query performance than traditional databases through column-oriented storage, in-memory computing, and self-optimizing algorithms, enabling real-time analytics on billions of rows without manual tuning.

Unique Value Proposition

Industry's fastest analytics database (proven via TPC-H benchmarks) with data volume-based pricing that provides unlimited query concurrency and compute at fixed cost—eliminating surprise bills from usage spikes. Self-optimizing algorithms require zero DBA maintenance while delivering sub-second query response on billion-row datasets, at 1/10th the time of Snowflake and Redshift.

Categories

Analytics Database
Data Warehouse
Business Intelligence
Big Data Analytics
Cloud Database
In-Memory Database

Target Market

Industries

Financial Services
Banking & Insurance
Retail & E-commerce
Healthcare & Pharma
Telecommunications
Manufacturing
Energy & Utilities
Logistics
Technology

Company Size

100 - 50000 employees

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Pricing Information

Pricing Model

custom

Free Trial Available

30-day trial period

Typical Contract Length

12 months

Key Features

In-memory columnar storage
Massively parallel processing (MPP)
Self-optimizing query execution
Lakehouse architecture support
Apache Iceberg table format integration
User-defined functions (Python, R, Lua, Java)
Parallel UDF execution
Built-in machine learning capabilities
Real-time data ingestion
Indexed JOIN optimization
Automatic compression
Smart query caching
Workload management
Data volume-based licensing
Unlimited query concurrency
Auto-scaling in cloud
Multi-cloud deployment (AWS, Azure, GCP)
On-premise deployment option
Hybrid cloud support
PostgreSQL compatibility layer

Integrations

Tableau
Power BI
Qlik
Looker
SAP BusinessObjects
IBM Cognos
MicroStrategy
Sisense
Apache Superset
Metabase
Amazon QuickSight
Alteryx
Informatica
Talend
Apache Airflow
dbt
Fivetran
Stitch
Python
R
Java
JDBC/ODBC drivers
API Available
View Docs

Security Features

Data encryption at rest
Data encryption in transit (TLS/SSL)
Role-based access control (RBAC)
Row-level security
Column-level security
LDAP integration
Kerberos authentication
Audit logging
Database activity monitoring
Secure backup and recovery
VPC isolation (cloud)
IP whitelisting

Security & Compliance

SOC 2 Type II
ISO 27001
GDPR
HIPAA compliant infrastructure available

Implementation & Support

Implementation Time

9 weeks (60 days)

Deployment Options

Cloud
On-Premise
Hybrid

Support Hours

24/7 (enterprise)

Implementation Support Included
Training Resources Available