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Apache Impala vs Presto

Apache Impala: Low-latency MPP SQL engine for Hadoop, Kudu and Iceberg tables, developed largely by Cloudera. Presto: Distributed SQL query engine from Meta for interactive queries over data lakes and many sources.

key differences

  • Presto is built for larger datasets (Multi-PB) than Apache Impala (≤ 1 PB).
  • Only Apache Impala has transactions, columnar storage, durable persistence, compression.
  • Only Presto has geospatial.

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 presto for

  • +Interactive SQL on data lakes
  • +Federated queries across sources
  • +Lakehouse analytics on Iceberg/Hudi

best at · OLAP, Lakehouse, Warehouse

Apache ImpalaLow-latency MPP SQL engine for Hadoop, Kudu and Iceberg tables, developed largely by Cloudera.
PrestoDistributed SQL query engine from Meta for interactive queries over data lakes and many sources.
overview
Primary model
Relational
Relational
Also supports
Columnar / OLAP
Columnar / OLAP
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
Presto Foundation (Linux Foundation)
First release
2013
2013
Latest version
4.5.3 (Oct 6, 2026)
0.299 (Aug 28, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
29.0
37.7
Rank
#91
#53
GitHub stars
1.3K
16.8K
Stack Overflow questions
2.1K
3.2K
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
Limited
Consistency
Strong
Strong
Schema
Strict
Strict
Architecture
Distributed, Client server
Distributed, Client server
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)
SQL (ANSI)
Client languages
Python, Java, C++, Go
Java, Python, Go, JavaScript, C++
Best for
OLAP, Warehouse, Lakehouse
OLAP, Lakehouse, Warehouse
Add more to this comparisonNot sure either fits? Try smart match

Apache Impala vs Presto: FAQ

What is the difference between Apache Impala and Presto?

Apache Impala: Low-latency MPP SQL engine for Hadoop, Kudu and Iceberg tables, developed largely by Cloudera. Presto: Distributed SQL query engine from Meta for interactive queries over data lakes and many sources. Presto is built for larger datasets (Multi-PB) than Apache Impala (≤ 1 PB). Only Apache Impala has transactions, columnar storage, durable persistence, compression. Only Presto has geospatial.

When should I choose Apache Impala over Presto?

Choose Apache Impala for interactive BI on Hadoop and Cloudera clusters; analytics over Kudu tables; and iceberg queries in Cloudera Data Warehouse. Choose Presto for interactive SQL on data lakes, federated queries across sources and lakehouse analytics on Iceberg/Hudi.

Is Apache Impala or Presto more popular?

Presto ranks #53 on the WhichDB Score (37.7/100) and Apache Impala ranks #91 (29.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Impala and Presto open source?

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