vs

Apache Spark SQL vs AsterixDB

Apache Spark SQL: Spark's SQL and DataFrame engine for large-scale batch, streaming and lakehouse processing. AsterixDB: Apache parallel database for semi-structured JSON data with SQL++, LSM storage and spatial/text indexes.

key differences

  • Apache Spark SQL is primarily a relational database; AsterixDB is document.
  • Apache Spark SQL is built for larger datasets (Multi-PB) than AsterixDB (≤ 1 PB).
  • Only Apache Spark SQL has in-memory.
  • Only AsterixDB has secondary indexes, full-text search, geospatial.

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

choose asterixdb for

  • +Analytics over large semi-structured JSON datasets
  • +Spatial and text queries over social media or sensor feeds
  • +Database systems research and teaching (SQL++, LSM, parallel execution)
  • +Querying data lakes on HDFS or object storage alongside managed data

best at · OLAP, Search, Geo

overview
Primary model
Relational
Document
Also supports
Columnar / OLAP, Document
Spatial
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
Apache Software Foundation (originally UC Irvine and UC Riverside)
First release
2014
2013
Latest version
4.2.0 (Jul 14, 2026)
0.9.9 (Mar 2024)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
50.3
1.7
Rank
#26
#519
GitHub stars
44.3K
318
Stack Overflow questions
26.9K
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
Limited
Limited
Consistency
Strong
Strong
Schema
Flexible
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
Spark SQL (ANSI), Python (PySpark DataFrames), Scala, R
SQL++, AQL (legacy)
Client languages
Python, Scala, Java, R, Go
Java
Best for
Lakehouse, OLAP, Streaming, Warehouse
OLAP, Search, Geo, Streaming

Apache Spark SQL vs AsterixDB: FAQ

What is the difference between Apache Spark SQL and AsterixDB?

Apache Spark SQL: Spark's SQL and DataFrame engine for large-scale batch, streaming and lakehouse processing. AsterixDB: Apache parallel database for semi-structured JSON data with SQL++, LSM storage and spatial/text indexes. Apache Spark SQL is primarily a relational database; AsterixDB is document. Apache Spark SQL is built for larger datasets (Multi-PB) than AsterixDB (≤ 1 PB). Only Apache Spark SQL has in-memory.

When should I choose Apache Spark SQL over AsterixDB?

Choose Apache Spark SQL for lakehouse ETL and ELT; batch feature engineering for ML; and streaming ingestion into Delta/Iceberg. Choose AsterixDB for analytics over large semi-structured JSON datasets; spatial and text queries over social media or sensor feeds; and database systems research and teaching (SQL++, LSM, parallel execution).

Is Apache Spark SQL or AsterixDB more popular?

Apache Spark SQL ranks #26 on the WhichDB Score (50.3/100) and AsterixDB ranks #519 (1.7/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Spark SQL and AsterixDB open source?

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