New
Is the lakehouse finally the default, or still a migration project?
Share where you are: fully on a lakehouse, hybrid with a warehouse, or not convinced yet, and what drove the decision.
Topic
Lakehouses and warehouses
114 stories in the last 90 days · 1 community thread
In short
This topic covers data lakehouses and data warehouses. A lakehouse combines low-cost data lake storage with the table management and query performance of a warehouse, usually through open table formats, so one copy of data serves analytics, BI and AI. Buyers care about open formats and catalogues, query cost, governance and whether more than one engine can work on the same data.
Written by Techarda editors · Updated · How we work
Latest stories
The newest Lakehouses and warehouses stories from the last 90 days. Each one opens with our summary and a link to the original source.
Data & Analytics
Snowpipe Streaming Hits 41 GB/s Benchmark with Elastic Channels
Snowflake benchmarked Elastic Channels for Snowpipe Streaming at 41 GB/s and 133M rows/sec on a single table, 3.5x faster with linear horizontal scaling.
Data & Analytics
How Snowflake Built an Agent to Fix Broken Data Pipelines
Snowflake's data team built an AI agent that diagnoses monitored pipeline failure and opens a proposed fix in under 16 minutes. Here's how.
Data & Analytics
Databricks Is Doubling Down On New York City As A Premier AI Talent Hub
When Databricks opened its New York R&D hub at 5 Bryant Park earlier this year, we...
Data & Analytics
Transactions are Generally Available, advancing warehousing on the Lakehouse
Multi-Statement Transactions are Generally Available, enabling organizations to run...
Data & Analytics
Apache Iceberg Architecture Explained
Apache Iceberg is an open table format designed for high-performance analytics running on object storage. …
Data & AnalyticsCase study
How our AI Research team uses AI Runtime
At Databricks, we continuously develop and evaluate new AI research techniques to...
Data & Analytics
Reducing the noise: How Atlassian built an OCSF security lakehouse on Databricks
The challenge: Two decades of logging noise at global scaleAtlassian is a global...
Data & Analytics
Sovereign Cloud for France: Snowflake and Bleu
Snowflake announces its intent to partner with Bleu to bring AI Data Cloud capabilities to France's regulated markets on sovereign infrastructure.
Earlier in the last 90 days
- Snowflake and Orange Business: Sovereign AI for FranceSnowflake · 16 Oct 2026
- Geospatial queries are up to 38X faster with Lakehouse//RTDatabricks · 16 Oct 2026
- Snowflake and Lumen: Private Connectivity for AISnowflake · 16 Oct 2026
- Bringing the borderless Lakehouse into the agentic era with innovations for GeminiGoogle Cloud · 16 Oct 2026
- Data Mirroring Is GA: Replicate Postgres Data to Snowflake in SecondsSnowflake · 15 Oct 2026
- October 2026 newsletterClickHouse · 15 Oct 2026
- How to Architect an On-Premises Data LakehouseStarburst · 15 Oct 2026
- How FactSet cut model training and deployment from days to hours with Databricks AI RuntimeDatabricks · 15 Oct 2026
- Power real-time applications and agents with Document IntelligenceDatabricks · 15 Oct 2026
- Why Observability Needs a Context GraphSnowflake · 15 Oct 2026
- Sizing Lakebase Search: lessons from a real app and 4 million passagesDatabricks · 15 Oct 2026
- How Ridgeline unified Iceberg and ClickHouse into one analytics layer for investment managementClickHouse · 15 Oct 2026
- Introducing Private Network GatewayDatabricks · 15 Oct 2026
- Gemini 4 Argon in Public Preview on Snowflake Cortex AISnowflake · 14 Oct 2026
- Everyone's adopting AI agents. Almost no one can prove the ROI. Here's whyDatabricks · 14 Oct 2026
- Databricks is a Visionary the Gartner® Magic Quadrant™ for Analytics and Business Intelligence PlatformsDatabricks · 14 Oct 2026
- Workday and Snowflake Zero-Copy Integration Now AvailableSnowflake · 13 Oct 2026
- Announcing Fivetran Managed Data Lake Service | Blog | FivetranFivetran · 13 Oct 2026
- Governing your lakehouse with Fivetran Managed Data Lake Service | Blog | FivetranFivetran · 13 Oct 2026
- Introducing Semantic Studio: The Semantic View IDESnowflake · 13 Oct 2026
- How Flo Health built safer, more useful open models with Databricks AI RuntimeDatabricks · 13 Oct 2026
- End-to-end Snowflake Observability is now generally available in DynatraceDynatrace · 13 Oct 2026
- AWS Secrets Manager adds managed external secrets support for Databricks and TwilioAmazon Web Services · 12 Oct 2026
- How California built its Behavioral Health Public County Profile on DatabricksDatabricks · 10 Oct 2026
- From post-training to production: How TinyFish runs its web-native model on Databricks AI RuntimeDatabricks · 10 Oct 2026
- What Is an On-Premises Data Lake?Starburst · 9 Oct 2026
- Introducing Funke: Native HL7v2 Parsing on DatabricksDatabricks · 9 Oct 2026
- Snowflake Decision: A Decision Model in Cortex AI FunctionsSnowflake · 9 Oct 2026
- How to build governed enterprise apps on Databricks with Replit and LakebaseDatabricks · 9 Oct 2026
- Writing to Unity Catalog-Managed Tables with StarburstStarburst · 8 Oct 2026
- I Benchmarked Databricks Against My iPhone | Blog | FIvetranFivetran · 8 Oct 2026
- Set Budgets and Alerts for Cloud Data Warehouse CostsDatabricks · 8 Oct 2026
- Snowflake Completes NZISM Restricted Assessment on AWS in New ZealandSnowflake · 8 Oct 2026
- How Fivetran, dbt, and Databricks Lakeflow work together | Blog | FivetranFivetran · 8 Oct 2026
- Now GA: Building permission-aware Databricks Apps with on-behalf-of-user authorizationDatabricks · 8 Oct 2026
- The ASOS Incident: When Attackers Use the Channels Customers TrustRapid7 · 7 Oct 2026
- How to Repoint dbt ETL Pipelines to DatabricksDatabricks · 7 Oct 2026
- Why Databricks can’t match ClickHouse Cloud for real-time analyticsClickHouse · 7 Oct 2026
- The lakehouse is a better data warehouse: 2026 benchmarks and proofDatabricks · 7 Oct 2026
- Scaling and Operating a Large dbt Project on Databricks: IFCO's Data Team on Performance, Visibility, and DebuggingDatabricks · 7 Oct 2026
- Managed Apache Iceberg at scale: How Spanner powers Lakehouse runtime catalogGoogle Cloud · 7 Oct 2026
- Meta’s ads MCP server comes to Databricks: Put your customer intelligence to work in advertising campaignsDatabricks · 6 Oct 2026
- Amazon Redshift adds support for creating and refreshing Apache Iceberg materialized viewsAmazon Web Services · 6 Oct 2026
- NEAREST BY Join: Scaling Vector Search in Databricks RuntimeDatabricks · 6 Oct 2026
- Unlocking Data Portability: Preventing Catalog Lock-in with REGISTER and UNREGISTER APIsDatabricks · 6 Oct 2026
- How Genie Ontology powers product development at DatabricksDatabricks · 6 Oct 2026
- AI Gateway for Advertising: Governed AI Agents | SnowflakeSnowflake · 6 Oct 2026
- Real-Time Retail Intelligence: Building E-Commerce Recommendations with Lakebase and AI Search on DatabricksDatabricks · 2 Oct 2026
- Key metrics for monitoring DatabricksDatadog · 2 Oct 2026
- Databricks’ native monitoring resourcesDatadog · 2 Oct 2026
- Monitor Databricks with DatadogDatadog · 2 Oct 2026
- Amazon Redshift now supports cross-Region queries for your data lakeAmazon Web Services · 2 Oct 2026
Showing the newest 60 of 114. The feed archive lists every story by month.
What practitioners are discussing
Stories say what companies announced. These threads are where people who work with Lakehouses and warehouses compare notes.
Companies in these stories
The active companies with the most Lakehouses and warehouses stories in the last 90 days. It counts news coverage, not quality, market share or fit for your needs.
Related categories
Where Lakehouses and warehouses sits among the categories Techarda covers. Each hub shows who is active, and each guide sets out how to evaluate vendors.
Terms to know
Plain definitions of terms that come up in Lakehouses and warehouses stories, from the Techarda glossary.
Frequently asked questions
Lakehouse or data warehouse?
A warehouse stores data in its own managed format and is often simplest for SQL analytics. A lakehouse keeps data in open formats on object storage so several engines can use it. Many organisations run both, and the line between them keeps blurring.
What is an open table format?
A specification for organising files on object storage as tables, with schemas, transactions and history, so different query engines can read and write the same data safely.
What drives lakehouse costs?
The compute used by queries and pipelines, storage volume, and how often data is rewritten or compacted. Sensible partitioning, clustering and automatic suspension of idle compute make a large difference.
Stories are filed under topics automatically from their headline and summary, so the odd one may sit in the wrong place. Spotted one, or a topic we should add? Email engage@techarda.com. All topics.