Gartner Research

Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases

Published: 15 December 2022


Data and analytics leaders looking for analytic data management solutions will find a good range of choices to meet their needs. The market for cloud-based DBMSs for analytical use cases has matured and settled in the past year, with a mix of modernized traditional and newer offerings.

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Key Findings
  • Vendors now embrace the cloud. In previous years, different vendor offerings did not fully embrace cloud attributes, instead using “cloudwashing” to appear to have cloud-based products. This is no longer the case. Vendors with decades of experience on-premises now offer fully cloud-based services.

  • Vendors are moving toward richer data ecosystems.Many solution areas that relate to database management, such as data quality, data governance, master data management and data integration, are becoming more tightly integrated with (and within) cloud analytics platforms. This richer functionality is being offered through new product capabilities and partners.

  • Mature vendors are getting more ‘cloudy’ while cloud-native

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  • Alibaba Cloud (Alibaba AnalyticDB)
  • Amazon Web Services (Amazon Redshift)
  • Cloudera (Cloudera CDP)
  • Couchbase (Couchbase Capella)
  • Databricks (Databricks Lakehouse Platform)
  • Google (Google BigQuery)
  • IBM (IBM Db2 Warehouse)
  • InterSystems (InterSystems IRIS)
  • MarkLogic (MarkLogic Data Hub)
  • Microsoft (Azure Synapse Analytics)
  • Neo4j (Aura: Graph Data Platform)
  • Oracle (Autonomous Data Warehouse)
  • SAP (SAP Data Warehouse Cloud)
  • Snowflake (Snowflake Data Cloud)
  • Tencent Cloud (TBDS)
  • Teradata (Teradata Vantage)
  • TigerGraph (TigerGraph Cloud)
  • Analytics
  • Analytics on Streaming Data
  • Stream Optimization
  • Operational Intelligence
  • Data Science
  • Multicloud/Intercloud/Hybrid
  • Distributed Capabilities
  • Financial Governance
  • Application Development Support
  • Performance Features
  • Relational Attributes
  • Multimodel Support
  • Management and Administration
  • Resource Usage
  • Traditional Data Warehouse
  • Logical Data Warehouse
  • Data Lake
  • Streaming Analytics

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Critical Capabilities: A deeper look into provider offerings

How does a Critical Capabilities report work?

As a companion to the Magic Quadrant™, a Critical Capabilities report scores competing products and services against a set of meaningful differentiators. It reveals which options are the best fit in various use cases to help you focus on the vendors best suited to your needs.

A Critical Capabilities report is more than just a diagram. You also get:

Sharper focus

Narrow down the product and service criteria most important to you.

Individualized use cases

Use interactive features to customize usage scenarios based on your organization’s unique needs.

Faster decision making

Use data to speed up provider selection and accelerate the procurement process.

A Gartner Critical Capabilities report is just one of our many offerings.

We provide actionable, objective insight to help organizations make smarter, faster technology decisions to stay ahead of disruption and accelerate growth.

Pick the right provider with confidence

We use a Critical Capabilities report, the Magic Quadrant and more to ensure you select the best-fit provider to avoid the costly repercussions of a poor decision.

Align deal structures and optimize spend

We benchmark pricing against the market so you avoid unnecessary charges.

Reduce complexity and risk

We analyze contract terms and conditions to protect you against future price increases and unanticipated costs.

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