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IBM Db2 vs Query

IBM Db2

ibm.com

Query

query.ai

Side by side

FigureIBM Db2Query
Price from$630/mo—
Free planYes—
Free trialYes—
Open source——
WebYesYes
WindowsYes—
LinuxYes—
APIYesYes
Self-hostedYes—
Plans published70
Spec score · Query Engine Software8.3 (#7)7.1 (#18)
IntegrationsIBM documents connections through drivers and integrations with DataStage, Segment, Cognos Analytics, Looker, Tableau, Excel, SPSS Statistics, SAS, and R.Query says it supports more than 50 federated sources, including Splunk, Microsoft Sentinel, CrowdStrike Falcon, Okta, Snowflake, and Google BigQuery.
Intended usersIBM positions Db2 for mission-critical enterprise applications, AI assistants, cloud-native data-intensive applications, and CRM or ERP systems.Query says it is built for security teams seeking answers across distributed security data without centralizing more data.
SecurityIBM describes access controls, encryption for data in motion and at rest, behavior monitoring, and data masking features for Db2.Query says its product design follows a “secure by design” principle and that it has an active bug bounty policy.
SupportThe pricing page lists Community Support for Db2 AI Community and Enterprise Support for Db2 AI Standard and AI Advanced.Standard support is included with subscriptions during weekday business hours, and paid Platinum support is available.

Plans

IBM Db2

  • FreeFree
  • Performance$630 a month
  • Db2 AI CommunityFree
  • Db2 Database SaaS FreeFree
  • Db2 Database SaaS Performance$630 a month
  • Db2 AI AdvancedPriced on request
  • Db2 AI StandardPriced on request

IBM Db2 pricing →

Query

No plans published.

Query pricing →

In their own words

IBM Db2

IBM Db2 is a database for low-latency transactions, real-time analytics, and mission-critical workloads. It supports transactional, analytical, and operational work on the same database and can feed Db2 Warehouse and watsonx.data. AI-powered query optimization uses historical query patterns to adjust execution plans and automate tuning. Db2 12.1.2.0 adds a VECTOR type and SQL vector-distance queries for semantic search, retrieval-augmented generation, and recommendation systems. Db2 pureScale supports continuous availability on premises or in the cloud, with Pacemaker integration. Security features include access controls, encryption in transit and at rest, behavior monitoring, and data masking. IBM documents integrations with DataStage, Segment, Cognos Analytics, Looker, Tableau, Excel, SPSS Statistics, SAS, and R. Supported deployments include self-hosting and Amazon RDS for Db2. Free plans are available; Performance is listed at $630 a month, billed hourly.

Visit ibm.com

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.

Visit query.ai