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Azure Data Explorer vs Google BigQuery

Azure Data Explorer: Microsoft's Kusto engine: fast KQL analytics over logs, telemetry and time series at petabyte scale. Google BigQuery: Google's serverless, pay-per-query data warehouse built on Dremel and Colossus.

key differences

  • Transactions: Azure Data Explorer offers limited ACID; Google BigQuery offers full.
  • Only Azure Data Explorer has secondary indexes, triggers.
  • Only Google BigQuery has transactions, change data capture, time travel, online schema changes.
  • Google BigQuery has a serverless option; Azure Data Explorer does not.

choose azure-data-explorer for

  • +Application and security log analytics
  • +IoT telemetry exploration
  • +Time-series anomaly detection
  • +Interactive dashboards over billions of events

best at · Observability, Real-time analytics, Time-series

choose google-bigquery for

  • +Cloud data warehouse on GCP
  • +Marketing and product analytics (GA4 export)
  • +Log and event analytics
  • +Ad-hoc exploration of very large datasets

best at · Warehouse, OLAP, Lakehouse

Azure Data ExplorerMicrosoft's Kusto engine: fast KQL analytics over logs, telemetry and time series at petabyte scale.
Google BigQueryGoogle's serverless, pay-per-query data warehouse built on Dremel and Colossus.
overview
Primary model
Columnar / OLAP
Columnar / OLAP
Also supports
Time-Series, Search Engine, Document
Relational, Document, Vector, Spatial
Type
Managed service
Managed service
Status
Active
Active
Developer
Microsoft
Google
First release
2019
2010
Latest version
–
–
License
ProprietaryProprietary (Azure service)
ProprietaryProprietary
Free tier
✓
✓
popularity
WhichDB Score
31.2
65.3
Rank
#79
#12
GitHub stars
–
–
Stack Overflow questions
2.1K
26.1K
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
Read replicas
ACID
Limited
Full
Consistency
Strong
Strong
Schema
Flexible
Flexible
Architecture
Distributed, Shared storage
Serverless, Distributed, Shared storage
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
—
✓
Embedded
—
—
Edge
—
—
Clouds
Azure
Google Cloud
capabilities
Transactions
—
✓
Joins
✓
✓
Secondary indexes
✓
—
Full-text search
✓
✓
Vector search
✓
✓
Geospatial
✓
✓
JSON
✓
✓
Change data capture
—
✓
Triggers
✓
—
Stored procedures
✓
✓
Materialized views
✓
✓
TTL / expiry
✓
✓
Pub/Sub
—
—
Columnar storage
✓
✓
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
✓
✓
Role-based access
✓
✓
Time travel
—
✓
Branching
—
—
Online schema changes
—
✓
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
KQL, T-SQL (subset)
GoogleSQL, Legacy SQL, Python (BigQuery DataFrames)
Client languages
C#, Python, Java, JavaScript, Go
Python, Java, Go, JavaScript, C#, Ruby, PHP
Best for
Observability, Real-time analytics, Time-series, IoT
Warehouse, OLAP, Lakehouse, Real-time analytics
Add more to this comparisonNot sure either fits? Try smart match

Azure Data Explorer vs Google BigQuery: FAQ

What is the difference between Azure Data Explorer and Google BigQuery?

Azure Data Explorer: Microsoft's Kusto engine: fast KQL analytics over logs, telemetry and time series at petabyte scale. Google BigQuery: Google's serverless, pay-per-query data warehouse built on Dremel and Colossus. Transactions: Azure Data Explorer offers limited ACID; Google BigQuery offers full. Only Azure Data Explorer has secondary indexes, triggers. Only Google BigQuery has transactions, change data capture, time travel, online schema changes.

When should I choose Azure Data Explorer over Google BigQuery?

Choose Azure Data Explorer for application and security log analytics; IoT telemetry exploration; and time-series anomaly detection. Choose Google BigQuery for cloud data warehouse on GCP; marketing and product analytics (GA4 export); and log and event analytics.

Is Azure Data Explorer or Google BigQuery more popular?

Google BigQuery ranks #12 on the WhichDB Score (65.3/100) and Azure Data Explorer ranks #79 (31.2/100). Popularity is not fit: check the requirements that matter for your project.

Are Azure Data Explorer and Google BigQuery open source?

No. Azure Data Explorer is proprietary, closed-source software. No. Google BigQuery is proprietary, closed-source software.