Qlik vs ThoughtSpot

Qlik Expands MCP Availability Across AWS and Databricks Marketplaces

Qlik announced expanded availability of its Model Context Protocol (MCP) server in AWS Marketplace and Databricks Marketplace. The move lets customers connect AI assistants and agents to Qlik's governed data, analytics context, lineage, calculations, and transformation capabilities within the environments they already use. Qlik MCP exposes Qlik at the engine, tool, and agent levels, enabling natural-language querying and faster data pipeline development without duplicating analytics logic. Databricks customers can purchase Qlik solutions through the Databricks Marketplace using Universal Commits. The launch builds on the general availability of Qlik's agentic analytics experience and MCP server earlier in 2026 and extends Qlik's reach into AWS AI environments including Amazon Bedrock. Josh Good, VP of Corporate Strategy at Qlik, said customers want agent frameworks to work with trusted business data and existing metrics.

• Qlik announced expanded availability of its MCP server in AWS Marketplace and Databricks Marketplace.
• Qlik MCP is live in AWS Marketplace, including integration with Amazon Bedrock.
• Qlik MCP is now available in Databricks Marketplace, with Databricks customers able to use Universal Commits to purchase Qlik solutions.

Qlik Named a Leader in the 2026 IDC MarketScape for Worldwide Data Intelligence Platform Software

Qlik has been named a Leader in the 2026 IDC MarketScape for Worldwide Data Intelligence Platform Software, reinforcing its position in the data intelligence market.

Qlik Named a Leader for the 16th Consecutive Year in 2026 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms

Qlik Named a Leader for the 16th Consecutive Year in 2026 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms

Put Your Data to Work with ThoughtSpot in ChatGPT Work

New blog post: 'Put Your Data to Work with ThoughtSpot in ChatGPT Work' (Sep 10, 2026). Also new: '2026 Best Books on AI and Data' (Sep 10, 2026), 'Introducing SpotterCode in Developer Playground' (Sep 9, 2026), 'Trust, Tested: What Consumers Really Think About AI in Retail' (Sep 2, 2026), and 'Employee Recognition: Meet This Quarter's Icon Award Winners' (Sep 1, 2026).

ThoughtSpot Named a 2026 Gartner® Magic Quadrant™ Leader for Analytics and BI Platforms

ThoughtSpot has been recognized as a Leader in the 2026 Gartner Magic Quadrant for Analytics and BI Platforms, with a dedicated report available for download.

Postgres pattern to query row state as of a time

The article presents a Postgres schema pattern for answering point-in-time questions like “what did this row look like at T?” by keeping a history table alongside the main table (SCD Type 4) and using a row-level trigger to mirror INSERT/UPDATE/DELETE operations into that history table. The author contrasts common alternatives — event sourcing, in-place versioning (SCD Type 2), and periodic snapshotting — and provides concrete SQL: history table creation (LIKE ... INCLUDING DEFAULTS), a trigger function that stamps valid_from/valid_to and writes tombstone rows on DELETE, a point-in-time SELECT that picks the version valid at :as_of, and a backfill pattern for pre-install rows. The piece also warns about operational concerns such as schema drift when adding columns and recommends automating schema migration for history tables.

• The article describes using an SCD Type 4 pattern in Postgres: a records_history table that mirrors records plus valid_from, valid_to and operation columns.
• A row-level trigger function mirrors every INSERT, UPDATE and DELETE on records into records_history, stamping valid_from/valid_to and writing tombstones for deletes.
• The point-in-time query uses WHERE valid_from <= :as_of AND (valid_to IS NULL OR valid_to > :as_of) with DISTINCT ON (record_id) and ORDER BY record_id, valid_from DESC to return one row per record as of :as_of.