Apache Hive vs Teradata Database
Apache Hive
hive.apache.orgTeradata Database
teradata.comSide by side
| Figure | Apache Hive | Teradata Database |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | Yes | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Warehouse Software | 9.0 (#4) | 6.9 (#15) |
| Deployment | The official quickstart provides Docker instructions for running HiveServer2 and the Metastore in a container. | Teradata documentation lists Teradata Cloud, public cloud, Teradata hardware, commodity hardware, and hybrid cloud as deployment options. |
| Integrations | The project site names Spark, Presto, and Impala as integrations; it also describes Apache Ranger for authorization and Apache Atlas for lineage and governance. | Teradata’s developer portal demonstrates connections and workflows using JDBC, dbt, Teradata Parallel Transporter, and object storage such as AWS S3, Google GCS, and Azure Blob. |
| Purpose | Apache Hive is a distributed, fault-tolerant data warehouse system for reading, writing, and managing large datasets with SQL. | Teradata Database is the core of the Teradata SQL Engine and supports complex analytic workloads using massively parallel processing. |
| Security | The site describes Kerberos authentication, fine-grained access control, and audit logging; HiveServer2 documentation also lists LDAP, PAM, and custom authentication options. | Teradata says it supports identity and access management, optional customer-managed encryption keys, and TLS 1.3 for client sessions. |
Plans
In their own words
Apache Hive
Apache Hive is a distributed data warehouse system for reading, writing, and managing large datasets with SQL. Its Metastore keeps shared metadata for tables and partitions and serves clients including Hive, Impala, and Spark; HiveServer2 supports concurrent clients through JDBC and ODBC. Hive provides full ACID transactions for ORC tables and insert-only transactions for other formats. Documented storage options include S3, Azure Data Lake, and Google Cloud Storage, and Hive supports Apache Iceberg tables through a StorageHandler. Named integrations include Spark, Presto, and Impala, with Apache Ranger for authorization and Apache Atlas for lineage and governance. Security options described by the project include Kerberos, fine-grained access control, and audit logging; HiveServer2 also lists LDAP, PAM, and custom authentication. The quickstart includes Docker instructions for the server and Metastore. Hive is free open-source software. The installation manual lists Java 8, Maven 3.6.3, Protobuf 2.5, Hadoop 3.3.6, and Tez among current prerequisites; Hive 4.2.x instead requires JDK 21 minimum and works with Hadoop 3.4.1 and Tez 0.10.5.
Teradata Database
Teradata Database has no write-up on Specifiction yet; its figures are above.