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Apache Hive vs e6 Query Engine

Apache Hive

hive.apache.org

e6 Query Engine

e6data.com

Side by side

FigureApache Hivee6 Query Engine
Price fromFree—
Free planYes—
Free trial——
Open sourceYes—
Web—Yes
WindowsYes—
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published12
Spec score · Query Engine Software9.0 (#1)7.4 (#16)
DeploymentThe official quickstart provides Docker instructions for running HiveServer2 and the Metastore in a container.It can run serverless or inside the customer's Kubernetes cluster in a VPC; the page also lists on-premises, hybrid, air-gapped, and sovereign environments.
PurposeApache Hive is a distributed, fault-tolerant data warehouse system for reading, writing, and managing large datasets with SQL.e6 Query Engine runs SQL and AI workloads directly against existing lakehouse storage without copying data into a separate warehouse.

Plans

Apache Hive

  • Apache HiveFree

Apache Hive pricing →

e6 Query Engine

  • Pay for ComputePriced on request
  • Outcome-Based PricingPriced on request

e6 Query Engine pricing →

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.

Visit hive.apache.org

e6 Query Engine

e6 Query Engine has no write-up on Specifiction yet; its figures are above.

Visit e6data.com