The best Azure Synapse Analytics alternatives

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

It is aimed at teams that need governed data products and controlled access across analytics and AI use.

PrestoDB is for users who need to run distributed SQL queries across heterogeneous data sources and can manage a self-hosted deployment.

Apache Hive suits teams managing large datasets with SQL and connecting warehouse clients, storage, and related tools.

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

Comunica suits researchers and developers who need flexible querying across decentralized RDF sources.

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

Ontop suits teams that need ontology modeling, semantic reasoning, and SPARQL over relational databases.

Impala suits teams running SQL-based analytics on Hadoop ecosystem data, including multitenant deployments.

Kylin suits teams building analytics systems that use SQL models, streaming or batch data, and supported BI tools.

Firebolt suits engineers choosing between self-managed analytical database deployments and a managed service, including teams working with open…

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

It suits developers building database and analytics systems for specific workloads who want an in-process query engine.

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

Query is aimed at security teams investigating distributed data without centralizing it.

MaxCompute suits users seeking a cloud data platform with separate storage and compute, data lake support, streaming ingestion, or in-database…