Apache Impala vs Query
Apache Impala
impala.apache.orgQuery
query.aiSide by side
| Figure | Apache Impala | Query |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | — |
| Open source | — | — |
| Web | — | Yes |
| macOS | Yes | — |
| Linux | Yes | — |
| API | Yes | Yes |
| Self-hosted | Yes | — |
| Plans published | 1 | 0 |
| Spec score · Query Engine Software | 8.2 (#8) | 7.1 (#18) |
| Security | Impala integrates Kerberos authentication with Apache Ranger fine-grained authorization and provides auditing capabilities. | Query says its product design follows a “secure by design” principle and that it has an active bug bounty policy. |
Plans
In their own words
Apache Impala
Apache Impala is a free, open-source native analytic database for SQL queries on open data and table formats. It targets low-latency, high-concurrency business intelligence and analytics in Hadoop environments and is described as scaling linearly, including for multitenant use. Impala works with HDFS, HBase and Amazon S3, plus Apache Kudu, Apache Iceberg and other listed sources. Supported formats include delimited text, Parquet, Avro, SequenceFile and RCFile, with Snappy, GZIP, Deflate and BZIP codecs. Clients can connect through impala-shell, Hue, JDBC or ODBC. The system reuses Hadoop file formats, metadata, security and resource-management frameworks, and shares metadata and an ODBC driver with Apache Hive. Kudu tables support queries and efficient updates or deletes; Iceberg tables can be registered with the Hive Metastore. Kerberos, Apache Ranger authorization, auditing and encrypted JDBC or ODBC connections are supported. Impala runs on Linux and macOS, supports API use and self-hosted deployment, and is licensed under Apache License 2.0.
Query
Query is a cloud security data mesh that searches distributed security sources without copying their data into a central store. Federated search queries connected systems in parallel and normalizes results to OCSF, while Federated Search Query Language translates general queries into each source’s native language at query time. Query Workers are AI agents that triage, investigate, hunt, and detect across connected sources; analysts review recommendations or inconclusive findings. Federated Detections run SPL, KQL, or Sigma rules where the data resides. Query says it supports more than 50 sources, including Splunk, Microsoft Sentinel, CrowdStrike Falcon, Okta, Snowflake, and Google BigQuery. Static connectors map fixed schemas; dynamic connectors let customers configure custom mappings. Access is read-only, with no ingestion required and data staying at its source. The SaaS product runs on AWS data centers in us-east-1. Single sign-on supports Google, Microsoft, and Okta providers. Query states SOC 2 certification, uses NIST CSF 800-53 as a control baseline, and offers weekday standard support plus paid Platinum support.