Alternatives to SelectDB

Exasol

Exasol SaaS is described for organizations needing multi-departmental analytics, in-database machine learning or AI, and complex data integration or virtualization.

Druid suits teams building user-facing analytics or working with streaming data, low-latency queries and ad hoc exploration.

Helios may suit teams running transactional and analytical workloads together or working with varied data types.

Kylin suits teams running SQL analytics on Linux that need high concurrency, streaming and batch analysis, or BI tool connections.

IBM Db2

Db2 suits enterprise applications, AI assistants, cloud-native data-intensive applications, and CRM or ERP systems.

Amazon Redshift

It suits teams running SQL analytics, dashboards, application workloads, data sharing, or ETL in the cloud.

Apache Pinot

Apache Pinot suits teams building real-time analytics or user-facing applications with streaming and batch data.

Greenplum suits teams building large analytical warehouses or business intelligence systems, including analytics, machine learning, and AI workloads.

DuckDB UI

DuckDB UI suits DuckDB users who want to explore local data through a browser-based SQL notebook and table tools.

QuestDB

QuestDB suits teams building time-series workloads that need SQL querying and low-latency ingestion.

Teradata Cloud is aimed at large enterprises, including organizations in financial services, healthcare, life sciences, manufacturing, telecommunications, and transportation.

Firebolt

Firebolt suits engineers building analytical workloads who want Postgres-compatible SQL and a choice of self-managed or managed deployment.

MonetDB

MonetDB suits teams doing data warehousing, bulk processing, business intelligence, or scientific analysis who can self-host a database.

It suits data teams, app developers, and AI agents that need cloud data warehousing, sharing, pipelines, or visualizations.

Yellowbrick is aimed at enterprises with demanding analytics workloads or data residency and security requirements.

Microsoft Fabric Notebooks

It suits data engineers and data scientists working with Spark notebooks, lakehouses, and scheduled jobs.