Apache Hive
7.4#3 in query engine softwareFree planFree planAPILinuxmacOSSelf-hosted
VisitApache Hive vs IBM Db2
What both publish
| Fact | Apache Hive | IBM Db2 |
|---|---|---|
| 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. | IBM documents connections through drivers and integrations with DataStage, Segment, Cognos Analytics, Looker, Tableau, Excel, SPSS Statistics, SAS, and R. |
| Purpose | Apache Hive is a distributed, fault-tolerant data warehouse system for reading, writing, and managing large datasets with SQL. | IBM describes Db2 as an AI-powered database for low-latency transactions, real-time analytics, and mission-critical workloads. |
| Security | The site describes Kerberos authentication, fine-grained access control, and audit logging; HiveServer2 documentation also lists LDAP, PAM, and custom authentication options. | IBM describes access controls, encryption for data in motion and at rest, behavior monitoring, and data masking features for Db2. |
Apache Hive plans
- Apache HiveFree
IBM Db2 plans
- FreeFree
- Performance$630 a month
- Db2 Database SaaS FreeFree
- Db2 AI CommunityFree
- Db2 Database SaaS Performance$630 a month
- Db2 AI AdvancedPriced on request
Pick Apache Hive if…
Hive suits teams managing large datasets with SQL that need a data warehouse with distributed storage and integrations. Its documentation lists Linux for production use and Mac for development, with Windows also among the listed platforms.
Pick IBM Db2 if…
You want what its maker publishes above — check its page for the details.