Apache Hive vs Firebolt
Apache Hive
hive.apache.org
Firebolt
firebolt.ioSide by side
| Figure | Apache Hive | Firebolt |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | 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 · Query Engine Software | 9.0 (#1) | 7.9 (#12) |
| Spec score · Analytics Databases | 9.0 (#4) | 8.0 (#13) |
| Spec score · Big Data Analytics Software | 8.9 (#4) | 7.8 (#19) |
| Spec score · Data Warehouse Software | 9.0 (#4) | 8.0 (#8) |
| Spec score · OLAP Databases | 8.9 (#5) | 7.9 (#14) |
| Deployment | The official quickstart provides Docker instructions for running HiveServer2 and the Metastore in a container. | It runs as a single binary on a laptop or as a cluster of hundreds of nodes in your own cloud. |
| 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. | It integrates with Looker, Tableau, Power BI, Postgres-compatible tools, Go, JDBC, .NET, Node.js, Python, Rust, SQLAlchemy, and REST API clients. |
| Security | The site describes Kerberos authentication, fine-grained access control, and audit logging; HiveServer2 documentation also lists LDAP, PAM, and custom authentication options. | Firebolt lists SOC 2 Type II, ISO 27001, ISO 27018, HIPAA support, GDPR alignment, MFA, RBAC, and encryption in transit and at rest. |
| Storage | The project site describes support for S3, Azure Data Lake, and Google Cloud Storage. | The platform supports Apache Iceberg and DuckLake and uses open storage standards. |
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.
Firebolt
Firebolt is an open-source analytical database for engineers, with Postgres-compatible SQL and options for self-managed or managed deployment. It can run as a single binary on a laptop or scale to a cluster of hundreds of nodes in a customer’s cloud. Firebolt is designed for sub-second query latency and high-concurrency analytics, and supports Apache Iceberg and DuckLake using open storage standards. Deployment choices include a single binary, Helm chart, Kubernetes Operator, and managed service. Firebolt Core is free forever for self-hosted use, with no usage limits; it cannot be used to build a hosted SaaS that competes with Firebolt’s managed service. Managed compute is billed per second, with scale-to-zero, automatic start and stop, and autoscaling. Object storage is pass-through at $0.0264 / GB·mo, and the managed service includes $200 free credits. AI capabilities include query and embedding functions, vector search, an MCP Server, and a preview agent. Self-managed availability includes AWS and GCP, with Azure in preview; the managed service is currently AWS-only.