DBMS > FatDB vs. FoundationDB vs. TiDB

System Properties Comparison FatDB vs. FoundationDB vs. TiDB

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Editorial information provided by DB-Engines

Name

FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.

Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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

A .NET NoSQL DBMS that can integrate with and extend SQL Server.

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

TiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

Primary database model

Document store
Key-value store

Document store

supported via specific layer
Key-value store
Relational DBMS

supported via specific SQL-layer

Relational DBMS

Secondary database models

Document store

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	3.58
Rank	#73	Overall
	#38	Relational DBMS

Website

github.com/apple/foundationdb

pingcap.com

Technical documentation

apple.github.io/foundationdb

docs.pingcap.com/tidb/stable

Developer

FatCloud

FoundationDB

PingCAP, Inc.

Initial release

2012

2013

2016

Current release

6.2.28, November 2020

8.2.0, July 2024

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

Apache 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.

Implementation language

C++

Go, Rust

Server operating systems

Windows

Linux
OS X
Windows

Linux

Data scheme

schema-free

some layers support schemas

yes

Typing

predefined data types such as float or date

yes

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

SQL

Support of SQL

Via inetgration in SQL Server

supported in specific SQL layer only

yes

APIs and other access methods

.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings

GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy

Supported programming languages

.Net
C
C++
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Swift

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

via applications

in SQL-layer only

Triggers

yes

via applications

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning (by key range)

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

yes

Using Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

with TiSpark Connector

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

Linearizable consistency

Immediate Consistency

Foreign keys

Referential integrity

in SQL-layer only

yes

full support since version 6.6

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

Can implement custom security layer via applications

Fine grained access rights according to SQL-standard

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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

Apple-owned FoundationDB open sources the core technology at the heart of iCloud
19 April 2018, AppleInsider

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

provided by Google News

PingCAP Unveils Major TiDB Enhancements to Power Global Scale and AI-Driven Applications
22 April 2025, GlobeNewswire

Build a data lakehouse in a hybrid Environment using Amazon EMR Serverless, Apache DolphinScheduler, and TiDB
20 March 2025, Amazon Web Services

How TiDB is solving enterprise data challenges with scalability and speed
21 March 2025, YourStory.com

The future of databases in India: TiDB’s answer to modern data challenges
21 March 2025, ET CIO

“TiDB supports scaling to millions of queries per second”
2 April 2025, Open Source For You

provided by Google News

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