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Apache Impala vs Apache Spark SQL

Apache Impala: Low-latency MPP SQL engine for Hadoop, Kudu and Iceberg tables, developed largely by Cloudera. Apache Spark SQL: Spark's SQL and DataFrame engine for large-scale batch, streaming and lakehouse processing.

key differences

  • Apache Spark SQL is built for larger datasets (Multi-PB) than Apache Impala (≤ 1 PB).
  • Only Apache Impala has transactions, columnar storage, role-based access, time travel.
  • Only Apache Spark SQL has in-memory, streaming ingest.

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-spark-sql for

  • +Lakehouse ETL and ELT
  • +Batch feature engineering for ML
  • +Streaming ingestion into Delta/Iceberg
  • +Large-scale data cleaning and joins

best at · Lakehouse, OLAP, Streaming

Apache ImpalaLow-latency MPP SQL engine for Hadoop, Kudu and Iceberg tables, developed largely by Cloudera.
Apache Spark SQLSpark's SQL and DataFrame engine for large-scale batch, streaming and lakehouse processing.
overview
Primary model
Relational
Relational
Also supports
Columnar / OLAP
Columnar / OLAP, Document
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
Apache Software Foundation
First release
2013
2014
Latest version
4.5.3 (Oct 6, 2026)
4.2.0 (Jul 14, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
29.0
50.3
Rank
#91
#26
GitHub stars
1.3K
44.3K
Stack Overflow questions
2.1K
26.9K
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
Flexible
Architecture
Distributed, Client server
Distributed, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
AWS, Google Cloud, Azure, Alibaba Cloud, Oracle 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
SQL (Impala dialect, HiveQL-compatible)
Spark SQL (ANSI), Python (PySpark DataFrames), Scala, R
Client languages
Python, Java, C++, Go
Python, Scala, Java, R, Go
Best for
OLAP, Warehouse, Lakehouse
Lakehouse, OLAP, Streaming, Warehouse
Add more to this comparisonNot sure either fits? Try smart match

Apache Impala vs Apache Spark SQL: FAQ

What is the difference between Apache Impala and Apache Spark SQL?

Apache Impala: Low-latency MPP SQL engine for Hadoop, Kudu and Iceberg tables, developed largely by Cloudera. Apache Spark SQL: Spark's SQL and DataFrame engine for large-scale batch, streaming and lakehouse processing. Apache Spark SQL is built for larger datasets (Multi-PB) than Apache Impala (≤ 1 PB). Only Apache Impala has transactions, columnar storage, role-based access, time travel. Only Apache Spark SQL has in-memory, streaming ingest.

When should I choose Apache Impala over Apache Spark SQL?

Choose Apache Impala for interactive BI on Hadoop and Cloudera clusters; analytics over Kudu tables; and iceberg queries in Cloudera Data Warehouse. Choose Apache Spark SQL for lakehouse ETL and ELT; batch feature engineering for ML; and streaming ingestion into Delta/Iceberg.

Is Apache Impala or Apache Spark SQL more popular?

Apache Spark SQL ranks #26 on the WhichDB Score (50.3/100) and Apache Impala ranks #91 (29.0/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Impala and Apache Spark SQL open source?

Yes. Apache Impala is open source. License: Apache License 2.0. Yes. Apache Spark SQL is open source. License: Apache License 2.0.