DBMS > Databricks vs. TempoIQ vs. Ultipa

System Properties Comparison Databricks vs. TempoIQ vs. Ultipa

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Editorial information provided by DB-Engines

Name

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

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.

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

High performance Graph DBMS supporting HTAP high availability cluster deployment

Primary database model

Document store
Relational DBMS

Time Series DBMS

Graph DBMS

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

Score	96.01
Rank	#13	Overall
	#2	Document stores
	#9	Relational DBMS

Score	0.19
Rank	#315	Overall
	#27	Graph DBMS

Website

www.databricks.com

tempoiq.com (offline)

www.ultipa.com

Technical documentation

docs.databricks.com

www.ultipa.com/document

Developer

Databricks

TempoIQ

Ultipa

Initial release

2013

2012

2019

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

Data scheme

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

schema-free

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

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

HTTP API

RESTful HTTP API

Supported programming languages

Python
R
Scala

C#
Java
JavaScript

Node.js
Python
Ruby

C++
Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions and aggregates

Triggers

yes

Realtime Alerts

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

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

simple authentication-based access control

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More resources

DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

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Recent citations in the news

Anthropic, Databricks Team Up in Scramble for AI Revenue
26 March 2025, The Wall Street Journal

Databricks Has a Trick That Lets AI Models Improve Themselves
25 March 2025, WIRED

Anthropic Inks Deal to Bring Its AI Model to Databricks Platform
26 March 2025, PYMNTS.com

Anthropic Signs Deal to Bring Claude to Databricks Platform
26 March 2025, Bloomberg

Anthropic And Databricks Team Up To Help Customers Launch Their Own AI Agents
26 March 2025, Forbes

provided by Google News

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