DBMS > FoundationDB vs. OpenSearch

System Properties Comparison FoundationDB vs. OpenSearch

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Editorial information provided by DB-Engines

Name

Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.

Description

Ordered key-value store. Core features are complimented by layers.

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

Primary database model

Document store

supported via specific layer
Key-value store
Relational DBMS

supported via specific SQL-layer

Search engine
Vector DBMS

Secondary database models

Vector DBMS

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

Score	0.89
Rank	#197	Overall
	#32	Document stores
	#29	Key-value stores
	#92	Relational DBMS

Score	17.38
Rank	#32	Overall
	#4	Search engines
	#2	Vector DBMS

Website

github.com/apple/foundationdb

github.com/opensearch-project
opensearch.org

Technical documentation

apple.github.io/foundationdb

opensearch.org/docs/latest

Developer

FoundationDB

The OpenSearch Software Foundation

Initial release

2013

2021

Current release

6.2.28, November 2020

2.19, February 2025

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache Version 2.0

Cloud-based only

Only available as a cloud service

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

C++

Java

Server operating systems

Linux
OS X
Windows

All OS with a Java VM

Data scheme

schema-free

some layers support schemas

schema-free

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

Typing

predefined data types such as float or date

some layers support typing

yes

Secondary indexes

yes

All search fields are automatically indexed

SQL

Support of SQL

supported in specific SQL layer only

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP/JSON API

Supported programming languages

.Net
C
C++
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Swift

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

Server-side scripts

Stored procedures

in SQL-layer only

yes

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

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Linearizable consistency

Eventual Consistency

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

Foreign keys

Referential integrity

in SQL-layer only

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

User concepts

Access control

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More resources

Recent citations in the news

Apple Acquires Durable Database Company FoundationDB
24 March 2015, TechCrunch

FoundationDB Record Layer: A Multi-Tenant Structured Datastore
25 July 2020, Apple Machine Learning Research

FoundationDB team’s new venture, Antithesis, raises $47M to enhance software testing
13 February 2024, SiliconANGLE

IBM Cloudant pulls plan to fund new foundational layer for CouchDB
15 March 2022, theregister.com

FoundationDB, a very interesting NoSQL database owned by Apple, is now an open-source project
19 April 2018, GeekWire

provided by Google News

Introducing Amazon Q Developer in Amazon OpenSearch Service
9 May 2025, Amazon Web Services

OpenSearch 3.0 targets fast AI search with MCP and GPU-powered vectors
7 May 2025, Blocks and Files

OpenSearch 3.0 hits: First major release under Linux Foundation as it battles ElasticSearch for mindshare
7 May 2025, devclass

OpenSearch revs up AI workloads with GPU-accelerated vector search
6 May 2025, SiliconANGLE

OpenSearch 3.0 Launches with Major Upgrades
9 May 2025, It's FOSS News

provided by Google News

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