DBMS > Databricks vs. TempoIQ

System Properties Comparison Databricks vs. TempoIQ

Please select another system to include it in the comparison.

Our visitors often compare Databricks and TempoIQ with Neo4j, MariaDB and Postgres-XL.

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)

Primary database model

Document store
Relational DBMS

Time Series 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

Website

www.databricks.com

tempoiq.com (offline)

Technical documentation

docs.databricks.com

Developer

Databricks

TempoIQ

Initial release

2013

2012

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

Supported programming languages

Python
R
Scala

C#
Java
JavaScript

Node.js
Python
Ruby

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

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

DB-Engines shares Q1 2025 database industry rankings and top climbers: Snowflake and PostgreSQL trending
1 May 2025, DB-Engines

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

show all

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

provided by Google News

Share this page