ICYMI: ETR Observatory for Cloud Data Warehouses

ICYMI: the ETR Observatory report and data set for Cloud Data Warehouses are now available. Backed by proprietary survey data, vendors are positioned in Leading, Advancing, Tracking, or Pursuing vectors according to Momentum and Presence in the market. The plotting of the vendors in the subsector is based on direct customer utilization, not opinions or vendor influence. ETR’s Observatory for Cloud Data Warehouses focuses on enterprise-grade, cloud-based, full-featured products in this market that specialize in supporting structured data, which includes cloud data warehouses and cloud lakehouses. We see data warehousing products from the three big public cloud platforms, as well as cloud data warehousing giants Snowflake and Databricks, dominate the market, but cloud offerings from established mega-vendors are also making waves. This summary offers key highlights; for a deeper dive, clients can access the full report and data set on the ETR Platform.

Key Highlights of the Observatory Report:

Data Warehousing vs. Data Lakes vs. Data Lakehouses: The Observatory explains the differences between data warehousing, data lakes, and data lakehouses, highlighting their distinct purposes and functionalities in managing different types of data for various business needs. ​

Market Dominance: The report discusses the dominance of major players like Snowflake, Databricks, and the big public cloud providers (Microsoft, Amazon, Google) in the cloud data warehousing market, emphasizing their continuous enrichment of offerings and competition for market leadership. ​

Vendor Positioning: The Observatory scope is a 100% data-backed vendor positioning graphic that categorizes vendors into different vectors based on metrics like Momentum, Presence, and Net Score, providing insights into how vendors like Microsoft, Amazon, Google, Databricks, Snowflake, and others are positioned in the market. ​

Snowflake and Databricks: This Observatory highlights the competition between Snowflake and Databricks, detailing their market share, customer commitments, Net Promoter Scores, and differences in user-friendliness, power, cost, and innovation. ​

Cloud Giants: The document discusses the offerings of the three major cloud providers in the data warehousing space (Microsoft Azure Synapse, Amazon Redshift, Google BigQuery), focusing on factors like ROI expectations, ease of integration, technical roadmap innovation, and customer satisfaction with their products. ​

The Observatory Scope

The plotting of vendors and products across the Observatory Scope is supported wholly by ETR’s exclusive market intelligence and spending intentions data sets (see Figure 1 above). Vendors were spread fairly evenly across the vectors. Occupying the Leading vector, representing vendors with high Momentum and Presence, are public cloud vendors Microsoft and Amazon and their cloud data warehousing products Azure Synapse and Redshift, respectively. Databricks and Snowflake round out the Leading vector.

The Advancing vector represents vendors with relatively high Momentum but lower Presence. In this vector, and just shy of crossing over into the Leading vector based on Presence, is the third major public cloud player, Google, with its data warehousing tool BigQuery. Cloudera and SAP Data Warehouse Cloud are also in this vector.

The sole vendor in the Tracking vector, which has relatively high Presence but lower Momentum, is Oracle. And in the Pursuing vector are vendors with relatively lower Momentum and Presence. Pursuing vendors are OpenText, Teradata VantageCloud, and IBM.

It is critical to note again that ETR’s positioning is based wholly on survey responses from IT decision makers with direct utilization and knowledge of Cloud Data Warehouse vendors. The plotting does not reflect, nor does it intend to opine on, the efficacy of these tools and vendors. For more information, check out the full Observatory methodology. 

The full Observatory report first breaks down the overall spending intent Net Score for these Cloud Data Warehouse vendors and then analyzes each of the four Observatory Scope vectors and the vendors in more detail in the following sections; however, the best way to view this data is through the full ETR Observatory survey data, which is available exclusively to ETR Observatory subscribers on the ETR Research platform. 

ETR has also released Observatory reports and data on the following topics: 

• Endpoint Protection Platforms
• Business Intelligence and Reporting Tools
• Identity and Access Management
• UCaaS Tools
• ML/AI Tools
• Cloud Native Application Protection Platforms (CNAPP)
• Project and Work Management Tools

Watch for future Observatory bundles on Secure Access Service Edge in October and Observability Tools in December.

If you are not yet a subscriber, you can request access to the ETR platform here, or use the sidebar to request access to the Observatory for Cloud Data Warehouses report.

Enterprise Technology Research (ETR) is a technology market research firm that leverages proprietary data from our targeted IT decision maker (ITDM) community to provide actionable insights about spending intentions and industry trends. Since 2010, we have worked diligently at achieving one goal: eliminating the need for opinions in enterprise research, which are often formed from incomplete, biased, and statistically insignificant data. Our community of ITDMs represents $1+ trillion in annual IT spend and is positioned to provide best-in-class customer/evaluator perspectives. ETR’s proprietary data and insights from this community empower institutional investors, technology companies, and ITDMs to navigate the complex enterprise technology landscape amid an expanding marketplace. Discover what ETR can do for you at www.etr.ai