DBMS > FoundationDB vs. ScyllaDB

System Properties Comparison FoundationDB vs. ScyllaDB

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Our visitors often compare FoundationDB and ScyllaDB with RocksDB, Apache Cassandra and Amazon DynamoDB.

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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.

Cassandra and DynamoDB compatible wide column store

Primary database model

Document store

supported via specific layer
Key-value store
Relational DBMS

supported via specific SQL-layer

Wide column store

Secondary database models

Key-value store

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

Score	0.96
Rank	#189	Overall
	#32	Document stores
	#29	Key-value stores
	#86	Relational DBMS

Score	3.61
Rank	#72	Overall
	#5	Wide column stores

Website

github.com/apple/foundationdb

www.scylladb.com

Technical documentation

apple.github.io/foundationdb

docs.scylladb.com

Developer

FoundationDB

ScyllaDB

Initial release

2013

2015

Current release

6.2.28, November 2020

ScyllaDB Open Source 6.2.0, October 2024

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Open Source (AGPL), commercial license available

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.

Implementation language

C++

Server operating systems

Linux
OS X
Windows

Linux

Data scheme

schema-free

some layers support schemas

schema-free

Typing

predefined data types such as float or date

some layers support typing

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.

Secondary indexes

yes

cluster global secondary indices

SQL

Support of SQL

supported in specific SQL layer only

SQL-like DML and DDL statements (CQL)

APIs and other access methods

Proprietary protocol (CQL)

compatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift

Supported programming languages

.Net
C
C++
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Swift

For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby

Server-side scripts

Stored procedures

in SQL-layer only

yes, Lua

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

selectable replication factor

Representation of geographical distribution of servers is possible

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Linearizable consistency

Eventual Consistency
Tunable Consistency

can be individually decided for each write operation

Foreign keys

Referential integrity

in SQL-layer only

Transaction concepts

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

ACID

yes

Atomicity and isolation are supported for single operations

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.

yes

in-memory tables

User concepts

Access control

Access rights for users can be defined per object

More information provided by the system vendor

News

New ScyllaDB Release Delivers Unprecedented Elasticity & Efficiency via “Tablets” Architecture
3 December 2024

ScyllaDB Announces 6.0 Release for True Elastic Scale
12 June 2024

New ScyllaDB Release Achieves 50% Higher Throughput, 33% Lower Latency
20 February 2024

ScyllaDB Named Fastest Growing NoSQL Database on Deloitte Fast 500 List for the Second Consecutive Year
14 November 2023

ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels
17 October 2023

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More resources

Recent citations in the news

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

Apple Acquires Durable Database Company FoundationDB
24 March 2015, TechCrunch

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

Apple's FoundationDB takes new Record Layer open source, confirms tech underpins CloudKit
14 January 2019, AppleInsider

A Cautionary Open Source Tale, Apple Buys And Shutters FoundationDB
25 March 2015, Forbes

provided by Google News

Defense Department Tests AI Software, Advances to Improve Physical Security Posture
28 October 2024, Department of Defense

Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla
26 April 2024, InfoQ.com

ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale
6 January 2023, AWS Blog

ScyllaDB Launches Scylla Cloud Database as a Service
14 April 2019, insideAI News

Why Database Software Has Been ‘Wasting’ Hardware
6 November 2019, Forbes

provided by Google News

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