The best Virtual Data Platform alternatives

Starburst recommends Galaxy for organizations that do not yet have resources to manage complex data clusters.

Enterprise Enabler may suit IT and business teams that need to integrate data across multiple systems.

It suits organizations bringing together distributed data while needing shared definitions, access controls, and multiple integration methods.

QoreDB suits people who need a desktop tool for working with SQL and NoSQL databases.

Apache Drill may suit developers and data teams that need SQL access to raw data across supported Hadoop, NoSQL, and cloud sources.

MindsDB Query Engine may suit teams or developers who want to query connected data sources with SQL and add semantic search.

It suits big-data developers who need SQL-based analysis across multiple sources or data centers without migrating data.

Trino suits teams that need SQL analytics across multiple data sources in cloud or on-premises environments.

Presto may suit teams that need SQL queries across distributed or siloed data sources, including reporting, dashboards and open lakehouse workloads.

Teiid is aimed at Java developers integrating multiple enterprise data sources, especially those targeting OpenShift.

Calcite suits developers building applications that need SQL parsing, query planning, or mediation across data sources and processing engines.

PGSpider suits teams that want to query data across multiple sources through SQL in a self-hosted Linux setup.

It is intended for IT administrators, technical users, and business users who need to address data access, security, or performance needs.

It is aimed at engineering teams with multiple databases, platform teams building internal data APIs, ISVs embedding cross-database queries, and…