Apache Hive vs Teiid
Apache Hive
hive.apache.orgTeiid
teiid.ioSide by side
| Figure | Apache Hive | Teiid |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Query Engine Software | 9.0 (#1) | 8.0 (#11) |
| Deployment | The official quickstart provides Docker instructions for running HiveServer2 and the Metastore in a container. | The project describes Spring Boot, WildFly, embedded Java, and OpenShift deployment options. |
| Purpose | Apache Hive is a distributed, fault-tolerant data warehouse system for reading, writing, and managing large datasets with SQL. | Teiid is a Java data virtualization query engine that integrates data from multiple sources through a uniform API. |
| Security | The site describes Kerberos authentication, fine-grained access control, and audit logging; HiveServer2 documentation also lists LDAP, PAM, and custom authentication options. | The site describes Teiid as providing secure data access and says Spring Boot projects can select security integration among their dependencies. |
| Support and community | Apache Hive is an open-source project run by Apache Software Foundation volunteers, with mailing lists and community channels for participation. | The site directs users to the Teiid community for chat and identifies the project as open source under the Red Hat umbrella. |
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.
Teiid
Teiid is a free, open-source data virtualization project that gives applications a uniform way to query multiple underlying sources. It works as a gateway rather than storing the data, and virtual databases can present separate sources together so applications can join or union their results. Access is available through JDBC, ODBC, OData, and REST. Built-in translators are listed for Oracle, DB2, SQL Server, MySQL, PostgreSQL, and files; custom translators can also be made. Its optimizer uses source capability information to send query work to underlying systems where possible. Documented runtimes include Spring Boot, WildFly, embedded Java, and OpenShift, with Spring Boot noted as less feature-complete than WildFly. Teiid is aimed especially at Java developers integrating enterprise data sources. Connecting to sources commonly requires third-party drivers that are not included. The FAQ cautions that big-data, LDAP-style, and primarily streaming workloads may not be a good fit. Teiid Designer is deprecated, with no further releases expected.