DBMS > Databricks vs. GBase vs. SingleStore

System Properties Comparison Databricks vs. GBase vs. SingleStore

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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.

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type

Primary database model

Document store
Relational DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS
Time Series DBMS
Vector DBMS

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

Score	87.85
Rank	#13	Overall
	#2	Document stores
	#9	Relational DBMS

Score	1.24
Rank	#164	Overall
	#74	Relational DBMS

Score	3.90
Rank	#69	Overall
	#37	Relational DBMS

Website

www.databricks.com

www.gbase.cn

www.singlestore.com

Technical documentation

docs.databricks.com

docs.singlestore.com

Developer

Databricks

General Data Technology Co., Ltd.

SingleStore Inc.

Initial release

2013

2004

2013

Current release

GBase 8a, GBase 8s, GBase 8c

8.5, January 2024

License

Commercial or Open Source

commercial

free developer edition 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, Python

C++, Go

Server operating systems

hosted

Linux

64 bit version required

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

Standard with numerous extensions

yes

but no triggers and foreign keys

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

ADO.NET
C API
JDBC
ODBC

Cluster Management API

as HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC

Supported programming languages

Python
R
Scala

Bash
C
C#
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions and aggregates

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

Sharding

hash partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

stores two copies of each physical data partition on two separate nodes

MapReduce

Offers an API for user-defined Map/Reduce methods

can define user-defined aggregate functions for map-reduce-style calculations

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

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

yes, multi-version concurrency control (MVCC)

Durability

Support for making data persistent

yes

All updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.

In-memory capabilities

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

yes

User concepts

Access control

yes

Fine grained access control via users, groups and roles

More information provided by the system vendor

Specific characteristics

Supported database models : In addition to the Document store and Relational DBMS...
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More resources

DB-Engines blog posts

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2 January 2024, Matthias Gelbmann, Paul Andlinger

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9 June 2022, Akmal Chaudhri, SingleStore (sponsor)

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14 February 2022, Akmal Chaudhri, SingleStore (sponsor)

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Recent citations in the news

Informatica deepens Databricks dealings
15 January 2025, Blocks and Files

Venture-backed Databricks lands direct lending financing package
17 January 2025, PitchBook News & Analysis

Databricks Inks $5 Billion of Private Credit, Bank Funding
13 January 2025, Bloomberg

‘It’s dumb to IPO this year’: Databricks CEO explains why he’s waiting to go public
17 December 2024, TechCrunch

Databricks announces $10 billion financing at $62 billion valuation
17 December 2024, CNBC

provided by Google News

Third time was the charm for SingleStore in the cloud, CEO says
8 July 2024, The Register

SingleStore Acquires BryteFlow to Accelerate Adoption of Real-Time Analytics, GenAI
3 October 2024, Business Wire

SingleStore acquires BryteFlow to boost data ingestion capabilities
3 October 2024, InfoWorld

SingleStore's BryteFlow acquisition targets data integration
3 October 2024, TechTarget

SingleStore acquires BryteFlow to better digest ERP and CRM data
4 October 2024, Blocks and Files

provided by Google News

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