Alternatives to Teradata Database

Exasol

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

Apache Hive

Hive suits teams managing large datasets with SQL across cloud storage, or connecting metadata and query clients such as Spark and Impala.

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.

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

Firebolt

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

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

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

It suits teams running cloud analytics for website, app, or gaming data and needing SQL-compatible OLAP.

It suits teams running cloud data workloads that need data lake support, streaming ingestion, machine learning, or separate storage and compute.

Panoply.io suits readers comparing data and AI infrastructure tools, prices, free tiers, and replacement options.