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Apache Impala vs Apache Kudu

Apache Impala: Low-latency MPP SQL engine for Hadoop, Kudu and Iceberg tables, developed largely by Cloudera. Apache Kudu: Columnar storage engine for fast analytics on fast-changing data, paired with Impala or Spark.

key differences

  • Apache Impala is primarily a relational database; Apache Kudu is columnar / OLAP.
  • Only Apache Impala has transactions, joins, json, time travel.
  • Only Apache Kudu has encryption at rest, online schema changes.

choose apache-impala for

  • +Interactive BI on Hadoop and Cloudera clusters
  • +Analytics over Kudu tables
  • +Iceberg queries in Cloudera Data Warehouse

best at · OLAP, Warehouse, Lakehouse

choose apache-kudu for

  • +Mutable fact tables in Cloudera
  • +Near-real-time analytics with Impala
  • +Time-series with updates

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

Apache ImpalaLow-latency MPP SQL engine for Hadoop, Kudu and Iceberg tables, developed largely by Cloudera.
Apache KuduColumnar storage engine for fast analytics on fast-changing data, paired with Impala or Spark.
overview
Primary model
Relational
Columnar / OLAP
Also supports
Columnar / OLAP
Relational
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
Apache Software Foundation
First release
2013
2016
Latest version
4.5.3 (Oct 6, 2026)
1.18.1 (Jan 9, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
29.0
18.6
Rank
#91
#176
GitHub stars
1.3K
1.9K
Stack Overflow questions
2.1K
130
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
Limited
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, Client server
Distributed
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
–
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
SQL (Impala dialect, HiveQL-compatible)
Impala SQL, Spark SQL, Kudu client API
Client languages
Python, Java, C++, Go
C++, Java, Python
Best for
OLAP, Warehouse, Lakehouse
Real-time analytics, OLAP, Time-series
Add more to this comparisonNot sure either fits? Try smart match

Apache Impala vs Apache Kudu: FAQ

What is the difference between Apache Impala and Apache Kudu?

Apache Impala: Low-latency MPP SQL engine for Hadoop, Kudu and Iceberg tables, developed largely by Cloudera. Apache Kudu: Columnar storage engine for fast analytics on fast-changing data, paired with Impala or Spark. Apache Impala is primarily a relational database; Apache Kudu is columnar / OLAP. Only Apache Impala has transactions, joins, json, time travel. Only Apache Kudu has encryption at rest, online schema changes.

When should I choose Apache Impala over Apache Kudu?

Choose Apache Impala for interactive BI on Hadoop and Cloudera clusters; analytics over Kudu tables; and iceberg queries in Cloudera Data Warehouse. Choose Apache Kudu for mutable fact tables in Cloudera, near-real-time analytics with Impala and time-series with updates.

Is Apache Impala or Apache Kudu more popular?

Apache Impala ranks #91 on the WhichDB Score (29.0/100) and Apache Kudu ranks #176 (18.6/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Impala and Apache Kudu open source?

Yes. Apache Impala is open source. License: Apache License 2.0. Yes. Apache Kudu is open source. License: Apache License 2.0.