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Best Cloud Data Warehouses Software

What 10 leading AI models recommend

Top Recommendations

#1

Snowflake

Mentioned by
10/10
models
Average rank: 1.2
Gemini FGemini Pclaude-sonnet-4.5+7 more
#2

Google BigQuery

Mentioned by
10/10
models
Average rank: 2.3
Gemini FGemini Pclaude-sonnet-4.5+7 more
#3

Amazon Redshift

Mentioned by
10/10
models
Average rank: 2.5
Gemini FGemini Pclaude-sonnet-4.5+7 more
#4

Microsoft Azure Synapse Analytics

Mentioned by
9/10
models
Average rank: 4.1
Gemini Fclaude-sonnet-4.5claude-opus-4.5+6 more
#5

Databricks SQL

Mentioned by
5/10
models
Average rank: 4.8
claude-sonnet-4.5claude-opus-4.5mistral-large-2512+2 more
#6

BigQuery ML

Mentioned by
5/10
models
Gemini FGemini Pclaude-sonnet-4.5+2 more

What Each AI Model Says

D

DeepSeek V3

  1. 1Power BI+
  2. 2Google Cloud AI/ML tools+
?

glm-4.7

  1. 5Databricks SQL+
?

mistral-large-2512

  1. 5Databricks SQL+
  2. 6Oracle Autonomous Data Warehouse~
?

gpt-5.1

  1. 4Microsoft Azure Synapse Analytics+
  2. 4Microsoft Fabric+
  3. 5Databricks Lakehouse+
  4. 6Oracle Autonomous Data Warehouse (ADW)+
?

gpt-4o-mini

  1. 4Microsoft Azure Synapse Analytics+
  2. 5IBM Db2 Warehouse on Cloud+
?

claude-sonnet-4.5

  1. 2Google BigQuery+
  2. 3Amazon Redshift+
  3. 4Databricks SQL+
  4. 5Microsoft Azure Synapse Analytics+
  5. 6Oracle Autonomous Data Warehouse+
G

Gemini 2.5 Flash

  1. 1Teradata VantageCloud+
  2. 2Vertica+
  3. 3ClickHouse Cloud+
  4. 4Delta Lake+
?

llama-3.3-70b-instruct:free

  1. 1Amazon Redshift+
  2. 2Google BigQuery+
  3. 3Snowflake+
  4. 4Microsoft Azure Synapse Analytics+
  5. 5IBM Cloud Data Warehouse~
G

Gemini 2.5 Pro

  1. 1Vertex AI+
  2. 2BigQuery ML+
  3. 3Snowpark~
?

claude-opus-4.5

  1. 2Amazon Redshift+
  2. 3Google BigQuery+
  3. 4Microsoft Azure Synapse Analytics+
  4. 5Databricks SQL+
  5. 6Oracle Autonomous Data Warehouse+

Complete Rankings

RankProduct/CompanyModels MentioningAvg. RankMentioned By
1Snowflake
10/10
1.2
Gemini FGemini Pclaude-sonnet-4.5claude-opus-4.5gpt-4o-minigpt-5.1llama-3.3-70b-instruct:freemistral-large-2512DeepSeekglm-4.7
2Google BigQuery
10/10
2.3
Gemini FGemini Pclaude-sonnet-4.5claude-opus-4.5gpt-4o-minigpt-5.1llama-3.3-70b-instruct:freemistral-large-2512DeepSeekglm-4.7
3Amazon Redshift
10/10
2.5
Gemini FGemini Pclaude-sonnet-4.5claude-opus-4.5gpt-4o-minigpt-5.1llama-3.3-70b-instruct:freemistral-large-2512DeepSeekglm-4.7
4Microsoft Azure Synapse Analytics
9/10
4.1
Gemini Fclaude-sonnet-4.5claude-opus-4.5gpt-4o-minigpt-5.1llama-3.3-70b-instruct:freemistral-large-2512DeepSeekglm-4.7
5Databricks SQL
5/10
4.8
claude-sonnet-4.5claude-opus-4.5mistral-large-2512DeepSeekglm-4.7
6BigQuery ML
5/10
-
Gemini FGemini Pclaude-sonnet-4.5claude-opus-4.5glm-4.7
7Serverless Architecture
4/10
3.0
Gemini FGemini Pclaude-opus-4.5gpt-4o-mini
8Redshift Spectrum
4/10
3.0
Gemini Fmistral-large-2512DeepSeekglm-4.7
9Complexity
4/10
4.0
claude-sonnet-4.5claude-opus-4.5mistral-large-2512glm-4.7
10Oracle Autonomous Data Warehouse
4/10
6.0
claude-sonnet-4.5claude-opus-4.5llama-3.3-70b-instruct:freemistral-large-2512
11Real-Time Analytics
3/10
3.0
Gemini Pgpt-4o-miniglm-4.7
12Lakehouse Architecture
3/10
-
Gemini Fclaude-opus-4.5glm-4.7
13Cost Management
2/10
1.0
Gemini Pgpt-4o-mini
14Vendor lock-in
2/10
2.0
mistral-large-2512DeepSeek
15Deep AWS integration
2/10
3.0
gpt-5.1mistral-large-2512
16Databricks
2/10
4.5
Gemini FGemini P
17Lakehouse architecture
2/10
5.0
mistral-large-2512DeepSeek
18Redshift Serverless
2/10
-
claude-sonnet-4.5claude-opus-4.5
19Separation of Compute and Storage
2/10
-
Gemini FGemini P
20Delta Lake
2/10
-
Gemini Fclaude-sonnet-4.5
21Multi-cloud support
2/10
-
claude-sonnet-4.5DeepSeek
22Cost
2/10
-
claude-sonnet-4.5glm-4.7
23Power BI
2/10
-
claude-sonnet-4.5DeepSeek
24Unified Platform
2/10
-
claude-opus-4.5glm-4.7
25Separation of Storage and Compute
1/10
1.0
gpt-4o-mini
26Cost unpredictability
1/10
1.0
mistral-large-2512
27Separation of storage & compute
1/10
1.0
mistral-large-2512
28Multi-cloud & cloud-agnostic
1/10
1.0
mistral-large-2512
29Cost predictability
1/10
1.0
gpt-5.1
30Strong for semi-structured data
1/10
1.0
gpt-5.1
31Separation of storage and compute
1/10
1.0
gpt-5.1
32True cloud-native, multi-cloud
1/10
1.0
gpt-5.1
33Multi-Cloud Support
1/10
1.0
gpt-4o-mini
34Excellent for very large datasets & log/event analytics
1/10
2.0
gpt-5.1
35Fully serverless
1/10
2.0
gpt-5.1
36Concurrency Limitations
1/10
2.0
gpt-4o-mini
37Performance
1/10
2.0
gpt-4o-mini
38Integration with AWS Ecosystem
1/10
2.0
gpt-4o-mini
39Built-in ML/AI
1/10
2.0
mistral-large-2512
40Serverless & fully managed
1/10
2.0
mistral-large-2512
41Cost unpredictability (on-demand)
1/10
2.0
gpt-5.1
42Integrated with Google Cloud & AI
1/10
2.0
gpt-5.1
43Complex tuning
1/10
3.0
mistral-large-2512
44More operational tuning vs serverless rivals
1/10
3.0
gpt-5.1
45Flexible deployment
1/10
3.0
gpt-5.1
46Cost Structure
1/10
3.0
gpt-4o-mini
47Integrated Analytics Service
1/10
4.0
gpt-4o-mini
48Strong Integration with Microsoft Products
1/10
4.0
gpt-4o-mini
49Microsoft Fabric
1/10
4.0
gpt-5.1
50Tight integration with Microsoft stack
1/10
4.0
gpt-5.1
51Unified analytics vision
1/10
4.0
gpt-5.1
52Platform complexity & overlap
1/10
4.0
gpt-5.1
53Unified analytics platform
1/10
4.0
mistral-large-2512
54More complex for “just BI”
1/10
5.0
gpt-5.1
55IBM Cloud Data Warehouse
1/10
5.0
llama-3.3-70b-instruct:free
56Not a pure data warehouse
1/10
5.0
mistral-large-2512
57Strong Analytical Capabilities
1/10
5.0
gpt-4o-mini
58Hybrid Cloud Support
1/10
5.0
gpt-4o-mini
59Complex Pricing Model
1/10
5.0
gpt-4o-mini
60Databricks Lakehouse
1/10
5.0
gpt-5.1
61Unified data + AI platform
1/10
5.0
gpt-5.1
62Open table formats & ecosystem
1/10
5.0
gpt-5.1
63Azure Synapse Analytics
1/10
5.0
Gemini P
64IBM Db2 Warehouse on Cloud
1/10
5.0
gpt-4o-mini
65Oracle Autonomous Data Warehouse (ADW)
1/10
6.0
gpt-5.1
66“Autonomous” operations
1/10
6.0
gpt-5.1
67Tight with Oracle ecosystem
1/10
6.0
gpt-5.1
68Firebolt
1/10
6.0
DeepSeek
69Fully autonomous
1/10
6.0
mistral-large-2512
70Teradata Cloud
1/10
7.0
llama-3.3-70b-instruct:free
71ClickHouse Cloud
1/10
-
Gemini F
72Unified Data and AI Platform
1/10
-
Gemini F
73Flexible Compute Options
1/10
-
Gemini F
74Unified Analytics Platform
1/10
-
Gemini F
75Deep AWS Integration
1/10
-
Gemini F
76Multi-Cloud and Cross-Cloud
1/10
-
Gemini F
77Near-Zero Administration
1/10
-
Gemini F
78Data Sharing
1/10
-
glm-4.7
79AWS Integration
1/10
-
glm-4.7
80Management Overhead
1/10
-
glm-4.7
81True Serverless
1/10
-
glm-4.7
82Pricing Model
1/10
-
glm-4.7
83Power BI Integration
1/10
-
glm-4.7
84Scalability
1/10
-
llama-3.3-70b-instruct:free
85Cost-effectiveness
1/10
-
llama-3.3-70b-instruct:free
86Ease of use
1/10
-
llama-3.3-70b-instruct:free
87Real-time data ingestion
1/10
-
llama-3.3-70b-instruct:free
88AWS ecosystem integration
1/10
-
llama-3.3-70b-instruct:free
89GCP ecosystem integration
1/10
-
llama-3.3-70b-instruct:free
90Azure ecosystem integration
1/10
-
llama-3.3-70b-instruct:free
91Steep learning curve
1/10
-
llama-3.3-70b-instruct:free
92Separation of compute & storage
1/10
-
DeepSeek
93Higher cost
1/10
-
DeepSeek
94Serverless architecture
1/10
-
DeepSeek
95Google Cloud AI/ML tools
1/10
-
DeepSeek
96More manual tuning required
1/10
-
DeepSeek
97Unified analytics
1/10
-
DeepSeek
98Higher learning curve
1/10
-
DeepSeek
99Smaller ecosystem
1/10
-
DeepSeek
100Multi-cluster shared data architecture
1/10
-
glm-4.7
101Multi-Cloud
1/10
-
glm-4.7
102Architecture Innovation
1/10
-
claude-opus-4.5
103Cross-Cloud Portability
1/10
-
claude-opus-4.5
104Cost Predictability
1/10
-
claude-opus-4.5
105AWS Ecosystem Integration
1/10
-
claude-opus-4.5
106Cost Control Challenges
1/10
-
claude-opus-4.5
107ML/AI Integration
1/10
-
claude-opus-4.5
108Microsoft Ecosystem
1/10
-
claude-opus-4.5
109Self-Managing
1/10
-
claude-opus-4.5
110Oracle compatibility
1/10
-
claude-sonnet-4.5
111Azure-only
1/10
-
claude-sonnet-4.5
112Management overhead
1/10
-
claude-sonnet-4.5
113GCP lock-in
1/10
-
claude-sonnet-4.5
114Zero management
1/10
-
claude-sonnet-4.5
115Pricing Complexity
1/10
-
Gemini P
116Vendor Lock-in
1/10
-
Gemini P
117Vertex AI
1/10
-
Gemini P
118Blazing Performance for Ad-Hoc Queries
1/10
-
Gemini P
119Snowpark
1/10
-
Gemini P
120Secure Data Sharing
1/10
-
Gemini P
121Ease of Use & Management
1/10
-
Gemini P
122Multi-Cloud & Cloud-Agnostic
1/10
-
Gemini P
123Teradata VantageCloud
1/10
-
Gemini F
124Vertica
1/10
-
Gemini F

Query Posed to AI Models

"Scalable, cloud-native platforms designed for storing and analyzing large volumes of structured and semi-structured data for business intelligence. Rank the leading vendors in the Cloud Data Warehouses market. For each vendor, explain their key strengths and weaknesses, and which types of businesses they are best suited for."

Generated: January 2, 2026 at 05:26 AM