Skip to content
SlateIndex
ExasolThe sovereign analytics database for high-concurrency AI and analytics workloads
vs
MySQLThe world's most popular open source database
Comparison · Data Warehouse · weekly run Nov 3

Exasol vs MySQL

Which one do AI engines recommend, and how do they differ on price, fit and features?

The short answer

MySQL is the stronger AI pick in Data Warehouse: it has a visibility score of 4.2 versus 2 for Exasol, and ranks ahead in 100% of the answers that name both.

Choose Exasol if…

  • You need ISO/IEC 27001:2022 coverage

Choose MySQL if…

  • You want the brand AI engines rank higher (4.2 vs 2)
  • You prefer a larger, established vendor (5,000+ employees)
  • well suited to transactional workloads
  • common primary production database with read replicas

AI visibility side by side

Latest weekly run · Nov 3

Metric Exasol MySQL
Visibility score2%4.2%
Change vs last weekNewNew
Rank in Data Warehouse#22#18
Share of voice0.5%1.1%
Mentions this run36
Positive in AI answers0%—

The stronger value in each row is marked with a ✓.

Visibility score trend

Weekly runs over the last 60 days

0%25%50%75%100%Nov 3Exasol 2%

Exasol 0pp · MySQL 0pp over 0 weekly runs.

Engine by engine

MySQL leads on 2 of 3 engines

ChatGPT
0.9%
4.1%
AI Mode
0%
5.4%
Perplexity
5.2%
3.1%
ExasolMySQL

Head to head in AI answers

1 engine answers name both brands

0Exasol ranked higher
1MySQL ranked higher
PromptEngineExasolMySQL
What should a data warehouse integrate with? Perplexity#4#2

Features, pricing & fit

DimensionExasolMySQL
DeploymentOn-premises, hybrid and cloudCloud service (HeatWave) and self-managed software using a client-server model, also available as an embeddable library
ComplianceISO/IEC 27001:2022—
Support—24x7 direct technical support from MySQL engineers via MySQL Enterprise Edition
Founded2000—
HeadquartersNürnberg, GermanyAustin, Texas, United States (parent Oracle's headquarters)
Employees201–5005,000+
FundingSeries A · $86M raisedSeries C · $39M raised
Best forEnterprises and data teams, including CTOs, heads of data and analytics, data engineers and data scientists, that need fast high-concurrency analytics and AI workloads on-premises, hybrid or in the cloudWeb-based applications, and ISVs, OEMs and VARs embedding a database in their products

Pros and cons

Themes from the AI answers that mention each brand

Exasol

Profile in progress.

MySQL

  • well suited to transactional workloads
  • common primary production database with read replicas

    Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run

    Cite as: SlateIndex, “Exasol vs MySQL”, https://slateindex.ai/compare/exasol-vs-mysql, data of Nov 3, 2026. Licence: CC BY 4.0.