DBMS > Databricks vs. StarRocks vs. TypeDB

System Properties Comparison Databricks vs. StarRocks vs. TypeDB

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Editorial information provided by DB-Engines

Name

Description

The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.

An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics

Forked from Apache Doris

TypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.

Primary database model

Document store
Relational DBMS

Relational DBMS

Graph DBMS

The type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS

The data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS

The type-theoretic data model of TypeDB subsumes the relational database model.

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	102.66
Rank	#12	Overall
	#2	Document stores
	#8	Relational DBMS

Score	0.94
Rank	#188	Overall
	#86	Relational DBMS

Score	0.59
Rank	#233	Overall
	#20	Graph DBMS
	#10	Object oriented DBMS
	#107	Relational DBMS

Website

www.databricks.com

www.starrocks.io

typedb.com

Technical documentation

docs.databricks.com

docs.starrocks.io/en-us/latest/introduction/StarRocks_intro

typedb.com/docs

Developer

Databricks

The Linux Foundation

since Feb 2023

Vaticle

Initial release

2013

2020

2016

Current release

3.3, June 2024

2.28.3, June 2024

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

GPL Version 3, commercial licenses available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++, Java

Java

Server operating systems

hosted

Linux

Linux
OS X
Windows

Data scheme

Flexible Schema (defined schema, partial schema, schema free)

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

with Databricks SQL

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

JDBC
MySQL protocol

gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)

Supported programming languages

Python
R
Scala

Java

All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

user defined functions and aggregates

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Synchronous replication via raft

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

substituted by the relationship feature

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Role based access control and fine grained access rights

yes

at REST API level; other APIs in progress

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Recent citations in the news

Fenwick Represents Neon in Pending Acquisition by Databricks
14 May 2025, fenwick.com

Databricks To Buy Serverless Postgres Company Neon
19 May 2025, Pulse 2.0

Databricks is buying database startup Neon for about $1 billion
14 May 2025, CNBC

The $1 Billion database bet: What Databricks’ Neon acquisition means for your AI strategy
15 May 2025, venturebeat.com

Exclusive | Databricks to Buy Startup Neon for $1 Billion
14 May 2025, WSJ

provided by Google News

StarRocks analytical DB heads to Linux Foundation
14 February 2023, venturebeat.com

StarRocks Launches the Industry's Fastest, Cloud Native, Real-time Analytics Engine
14 July 2022, GlobeNewswire

CelerData: How This Company Reduces Data Migration And Direct Analysis Costs In Data Lakes
21 December 2023, Pulse 2.0

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15 November 2022, InfoWorld

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20 March 2023, The Next Platform

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