DBMS > Databricks vs. DataFS vs. TimesTen

System Properties Comparison Databricks vs. DataFS vs. TimesTen

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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.

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

An in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.

Primary database model

Document store
Relational DBMS

Object oriented DBMS

Relational DBMS

Secondary database models

Graph DBMS

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	0.00
Rank	#385	Overall
	#21	Object oriented DBMS

Score	1.14
Rank	#170	Overall
	#76	Relational DBMS

Website

www.databricks.com

newdatabase.com

www.oracle.com/database/technologies/related/timesten.html

Technical documentation

docs.databricks.com

dev.mobiland.com/Overview.xsp

docs.oracle.com/en/database/other-databases/timesten/index.html

Developer

Databricks

Mobiland AG

Oracle

originally founded in HP Labs it was acquired by Oracle in 2005

Initial release

2013

2018

1998

Current release

1.1.263, October 2022

Release 22.1

License

Commercial or Open Source

commercial

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.

Server operating systems

hosted

Windows

IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64

Data scheme

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

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

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

.NET Client API
Proprietary client DLL
WinRT client

ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC

Supported programming languages

Python
R
Scala

.Net
C
C#
C++
VB.Net

C
C++
Java
Node.js
PL/SQL
Python

Server-side scripts

Stored procedures

user defined functions and aggregates

PL/SQL

Triggers

no, except callback-events from server when changes happened

Partitioning methods

Methods for storing different data on different nodes

Proprietary Sharding system

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency or Eventual Consistency depending on configuration

Foreign keys

Referential integrity

yes

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

by means of logfiles and checkpoints

In-memory capabilities

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

yes

User concepts

Access control

Windows-Profile

fine grained access rights according to SQL-standard

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Recent citations in the news

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

Databricks Hires Google Cloud, AWS Marketplace Guru
15 May 2025, CRN Magazine

Databricks Agrees to Acquire Neon to Deliver Serverless Postgres for Developers + AI Agents
14 May 2025, PR Newswire

Databricks buys serverless database startup Neon for reported $1B
14 May 2025, SiliconANGLE

Databricks modernizes healthcare data on AWS
13 May 2025, Amazon Web Services

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