DBMS > Databricks vs. OpenSearch vs. Sequoiadb

System Properties Comparison Databricks vs. OpenSearch vs. Sequoiadb

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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.

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

NewSQL database with distributed OLTP and SQL

Primary database model

Document store
Relational DBMS

Search engine
Vector DBMS

Document store
Relational DBMS

Secondary database models

Vector DBMS

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

Score	99.29
Rank	#12	Overall
	#2	Document stores
	#8	Relational DBMS

Score	17.19
Rank	#32	Overall
	#4	Search engines
	#2	Vector DBMS

Score	0.33
Rank	#273	Overall
	#43	Document stores
	#126	Relational DBMS

Website

www.databricks.com

github.com/opensearch-project
opensearch.org

www.sequoiadb.com

Technical documentation

docs.databricks.com

opensearch.org/docs/latest

www.sequoiadb.com/en/index.php?m=Files&a=index

Developer

Databricks

The OpenSearch Software Foundation

Sequoiadb Ltd.

Initial release

2013

2021

2013

Current release

2.19, February 2025

License

Commercial or Open Source

commercial

Open Source

Apache Version 2.0

Open Source

Server: AGPL; Client: Apache V2

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.

STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.

Implementation language

Java

C++

Server operating systems

hosted

All OS with a Java VM

Linux

Data scheme

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

schema-free

Flexible type definitions. Once a type is defined, it is persistent

schema-free

Typing

predefined data types such as float or date

yes

oid, date, timestamp, binary, regex

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

All search fields are automatically indexed

yes

SQL

Support of SQL

with Databricks SQL

SQL-like query language

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

Java API
RESTful HTTP/JSON API

proprietary protocol using JSON

Supported programming languages

Python
R
Scala

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

.Net
C++
Java
PHP
Python

Server-side scripts

Stored procedures

user defined functions and aggregates

yes

JavaScript

Triggers

yes

by using the 'percolation' feature

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Eventual Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Document is locked during a transaction

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 password-based access control

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Recent citations in the news

Databricks buys feature engineering startup Fennel to enhance AI model development
18 April 2025, SiliconANGLE

Palantir and Databricks Announce Strategic Product Partnership to Deliver Secure and Efficient AI to Customers
13 March 2025, PR Newswire

Databricks Just Dropped $250M in India--Here's Why It Could Redefine the Global AI Race
24 April 2025, Yahoo Finance

Block improves employee productivity and data access with Claude in Databricks
7 April 2025, Anthropic

Databricks to boost hiring, invest $250 million in India for AI expansion
24 April 2025, Reuters

provided by Google News

OpenSearch in 2025: Much more than an Elasticsearch fork
28 April 2025, InfoWorld

Combine keyword and semantic search for text and images using Amazon Bedrock and Amazon OpenSearch Service
24 April 2025, Amazon Web Services (AWS)

AWS Brings Generative AI Capabilities to OpenSearch Service
31 March 2025, DevOps.com

Accelerate operational analytics with Amazon Q Developer in Amazon OpenSearch Service
31 March 2025, Amazon Web Services (AWS)

Accelerate data pipeline creation with the new visual interface in Amazon OpenSearch Ingestion
22 April 2025, Amazon Web Services (AWS)

provided by Google News

Continuously recognized by Gartner and Forrester, SequoiaDB consolidates its leading position in China's distributed database market
9 March 2023, PR Newswire

provided by Google News

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