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MySQL alternatives

New

The world's most popular open source database

Data WarehouseAustin, Texas, United States (parent Oracle's headquarters)5,000+ employees

Visibility score
4.2%
New vs last week
Weekly run · Nov 3

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

Alternatives · updated Nov 3, 2026

MySQL alternatives: top competitors compared

MySQL has a visibility score of 4.2 in Data Warehouse, #18 of 39. AI answers that name MySQL most often also name these 4.

Quick reference

AlternativeBest forStarting priceVisibilityKey differentiator
PostgreSQL——49%Highly extensible: users can define their own data types and functions, and add features through extensions such as PostGIS.
BigQuery——63.6%Serverless architecture with nothing to size, and storage and compute separated, which reviewers cite as a cost and scale advantage.
DuckDBDevelopers and data engineers who want a fast analytical SQL engine embedded in an application or run on a laptop, edge device or server—9.9%Runs in-process as an embedded analytical SQL database, with no separate server process required
SnowflakeEnterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizationsContact sales68.6%Agents such as CoWork and CoCo work on governed enterprise data inside Snowflake's security perimeter, reusing existing access controls and catalog context

PostgreSQL is ranked #3 in Vector Databases.

Quick facts

  • Pricing not available
  • 49% visibility score · #3 in Vector Databases

Key features

  • PostgreSQL — Open source object-relational database system that uses and extends SQL, with features for data integrity, replication, security and extensibility.

PostgreSQL vs MySQL

DimensionPostgreSQLMySQL
Visibility score49%4.2%
Pricing model——
Entry price——
Free plan——
Trial——

Pros

  • Free open-source software
  • Adds vector search to an existing PostgreSQL database without a new database
  • Wide compatibility with drivers, BI tools, and language ecosystems
  • Broad deployment and transparent self-hosted pricing

Cons

  • Hosting, backups, and maintenance must be paid for when self-hosted
Full PostgreSQL vs MySQL comparison

BigQuery is ranked #2 in Data Warehouse.

Quick facts

  • Pricing not available
  • 63.6% visibility score · #2 in Data Warehouse

Key features

  • BigQuery AI — Lets users train, evaluate and deploy predictive models with SQL.
  • BigQuery Graph — Graph-style relationship analysis.
  • BigQuery Migration Service — Moves workloads from legacy warehouses to BigQuery.
  • BigQuery DataFrames — A Python API for BigQuery.

BigQuery vs MySQL

DimensionBigQueryMySQL
Visibility score63.6%4.2%
Pricing model——
Entry price——
Free plan——
Trial——

Pros

  • Serverless, highly scalable data warehouse
  • Free tier suited to small teams and light workloads
  • Easy to start with low operational overhead
  • Built-in ML and AI capabilities
  • Strong fit for Google Cloud-centric teams

Cons

  • Bills are hard to predict
Full BigQuery vs MySQL comparison

DuckDB suits developers and data engineers who want a fast analytical SQL engine embedded in an application or run on a laptop, edge device or server.

Quick facts

  • Pricing not available
  • 9.9% visibility score · #11 in Data Warehouse

Key features

  • DuckDB — An analytical SQL database that can run in-process. Simple, fast, and portable.
  • Quack — The client-server protocol for DuckDB, in which both client and server are full DuckDB instances.
  • DuckLake — A lakehouse format built on SQL that stores data in object storage with a SQL database as catalog.

DuckDB vs MySQL

DimensionDuckDBMySQL
Visibility score9.9%4.2%
Pricing model——
Entry price——
Free plan——
Trial——

Pros

  • Open-source, in-process analytical database
  • Free and excellent for local analytics on small datasets
  • Lightweight, local-first data engineering without massive cloud infrastructure
  • Free tier and simple, predictable low-cost plans via MotherDuck

Cons

  • Not suited to shared, high-concurrency application databases
  • Less suited to large enterprise workloads
Full DuckDB vs MySQL comparison

Snowflake suits enterprises that run data engineering, analytics and AI on governed enterprise data, including large and highly regulated organizations.

Quick facts

  • Contact sales · usage-based
  • 68.6% visibility score · #1 in Data Warehouse

Key features

  • Snowflake CoWork — Enterprise agent for knowledge workers, formerly Snowflake Intelligence, for analysis, automation and action on governed data.
  • Snowflake CoCo — Governed AI coding agent for building data pipelines, analytics, ML models, apps and agents.
  • Cortex AI — Services for securely creating and deploying LLMs and ML models customized with your data.
  • Openflow — Managed data integration service built on Apache NiFi.

Snowflake vs MySQL

DimensionSnowflakeMySQL
Visibility score68.6%4.2%
Pricing modelUsage-based—
Entry priceContact sales—
Free planNo—
Trial——

Pros

  • Multi-cloud deployment and secure, governed data sharing
  • Decoupled storage and compute architecture
  • Free trial with usage credits for easy getting started
  • Widely adopted, most popular cloud data warehouse
  • Strong for enterprise governance, high concurrency and workload isolation

Cons

  • Unoptimized queries can rack up a surprisingly high bill
  • Consumption pricing and credit usage are hard to predict
Full Snowflake vs MySQL comparison

How to choose

Match the pricing model to your cost driver: headcount, usage or features.

PlatformPricing modelStarting price
MySQL——
PostgreSQL——
BigQuery——
DuckDB——
SnowflakeUsage-basedContact sales

More alternatives

Ranked by how often AI answers name them alongside MySQL in the latest weekly run.

Cite as: SlateIndex, “MySQL AI visibility profile”, https://slateindex.ai/brand/mysql, data of Nov 3, 2026. Licence: CC BY 4.0.