About Azure Data Explorer
Azure Data Explorer is a fully managed analytics service in Microsoft Azure that is designed for fast exploration of large volumes of log, telemetry and time-series data. It is built around the Kusto Query Language, which is used to filter, aggregate and analyze data interactively.
Teams typically use it to ingest streaming or batch data from applications, devices and services, then query it with Kusto for troubleshooting, monitoring and ad hoc investigation. It sits alongside other Azure data services such as Azure Monitor, Azure Databricks and Microsoft Fabric, and the same query technology underpins several of those products.
Azure Data Explorer is a proprietary cloud service that exists only inside Azure, so there is no self-hosted edition. It is billed under Microsoft's usage-based Azure pricing, and current rates are listed on the Azure pricing pages.
Key features
- Kusto Query Language for interactive analysis
- Ingestion of streaming and batch telemetry
- Time-series analysis over large datasets
- Integration with other Azure data services
- Fully managed cloud service
Good fit for
- →Analyzing application logs at scale
- →IoT and telemetry exploration
- →Interactive troubleshooting of production systems
- Tags
- azure
- analytics
- kusto
- time-series
- logs
- telemetry
- database
- cloud-service
Azure Data Explorer: questions and answers
- What is Azure Data Explorer used for?
- Azure Data Explorer is a Microsoft Azure analytics service for exploring large volumes of log, telemetry and time-series data using the Kusto Query Language. It is a good fit for analyzing application logs at scale, IoT and telemetry exploration, and interactive troubleshooting of production systems.
- How much does Azure Data Explorer cost?
- Azure Data Explorer is a paid product with no free plan.
- Is Azure Data Explorer open source?
- No. Azure Data Explorer is proprietary (closed-source) software and can't be self-hosted. Open-source alternatives to Azure Data Explorer include InfluxDB, TimescaleDB and QuestDB.
- What are some alternatives to Azure Data Explorer?
- Azure Data Explorer competes with Google BigQuery, Amazon Athena and Snowflake. For open-source options, see Enlisted's ranked list of open-source Azure Data Explorer alternatives.
Open-source alternatives to Azure Data Explorer
See all
InfluxDB
Databases
Scalable datastore for metrics, events, and real-time analytics
Apache-2.0vs KX kdb+★ 32k
TimescaleDB
Databases
A time-series database for high-performance real-time analytics packaged as a Postgres ext
OSSvs KX kdb+★ 24k
QuestDB
Databases
QuestDB is a high performance, open-source, time-series database
Apache-2.0vs Tinybird★ 17k
GreptimeDB
Databases
GreptimeDB open source: metrics, logs, and traces share one table model on a columnar engi
Apache-2.0vs Elastic★ 6.7k
ClickHouse
Databases
ClickHouse is a fast open-source column-oriented database management system that allows ge
Apache-2.0vs Snowflake★ 50k
DuckDB
Databases
DuckDB is an analytical in-process SQL database management system
MITvs MotherDuck★ 42k
SaaS alternatives to Azure Data Explorer
See all
Google BigQuery
Databases
Serverless data warehouse for SQL analytics on large datasets
SaaS
Amazon Athena
Databases
Serverless interactive query service for analyzing data in Amazon S3 with SQL
SaaS
Snowflake
Databases
Cloud data platform for warehousing, data sharing and analytics
SaaS
Splunk
Monitoring & Observability
Splunk is a data platform for security and observability that collects, searches and analyzes machine data to detect threats and prevent downtime.
SaaS
Tinybird
Databases
Real-time analytics database that turns SQL queries into API endpoints
SaaS
KX kdb+
Databases
Time-series database used for high-frequency market and sensor data analytics
SaaS

