DBMS > FoundationDB vs. Kyligence Enterprise vs. Sphinx

System Properties Comparison FoundationDB vs. Kyligence Enterprise vs. Sphinx

Please select another system to include it in the comparison.

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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 analytics engine for big data, built on top of Apache Kylin

Open source search engine for searching in data from different sources, e.g. relational databases

Primary database model

Document store

supported via specific layer
Key-value store
Relational DBMS

supported via specific SQL-layer

Relational DBMS

Search engine

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	0.34
Rank	#272	Overall
	#125	Relational DBMS

Score	5.81
Rank	#56	Overall
	#5	Search engines

Website

github.com/apple/foundationdb

kyligence.io/kyligence-enterprise

sphinxsearch.com

Technical documentation

apple.github.io/foundationdb

sphinxsearch.com/docs

Developer

FoundationDB

Kyligence, Inc.

Sphinx Technologies Inc.

Initial release

2013

2016

2001

Current release

6.2.28, November 2020

3.5.1, February 2023

License

Commercial or Open Source

Open Source

Apache 2.0

commercial

Open Source

GPL version 2, commercial licence 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++

Java

C++

Server operating systems

Linux
OS X
Windows

Linux

FreeBSD
Linux
NetBSD
OS X
Solaris
Windows

Data scheme

schema-free

some layers support schemas

yes

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

full-text index on all search fields

SQL

Support of SQL

supported in specific SQL layer only

ANSI SQL for queries (using Apache Calcite)

SQL-like query language (SphinxQL)

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

Proprietary protocol

Supported programming languages

.Net
C
C++
Go
Java
JavaScript

Node.js
PHP
Python
Ruby
Swift

C++

unofficial client library
Java
Perl

unofficial client library
PHP
Python
Ruby

unofficial client library

Server-side scripts

Stored procedures

in SQL-layer only

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Partitioning is done manually, search queries against distributed index is supported

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Linearizable consistency

Immediate Consistency

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

The original contents of fields are not stored in the Sphinx index.

In-memory capabilities

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

User concepts

Access control

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

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

How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP | Amazon Web Services
9 November 2022, AWS Blog

Distributed OLAPer Kyligence accelerates core engine, adds real-time data support
10 August 2021, Blocks and Files

The 10 Hottest Big Data Tools Of 2023
23 November 2023, CRN

Why Analytics Warehouse Is the Answer to Big Data Analytics
10 March 2025, Spiceworks News and Insights

The Coolest Data Analytics and Business Intelligence CEOs of 2021
17 September 2021, Solutions Review

provided by Google News

Manticore is on search for new investment and partners
9 December 2024, Blocks and Files

Manticore is a Faster Alternative to Elasticsearch in C++
25 July 2022, hackernoon.com

Brainiacs Episode 13: Sphinx Formations, Fake News, and “The Mom Penalty”
23 February 2024, NYU News

Switching From Sphinx to MkDocs Documentation – What Did I Gain and Lose
2 February 2024, Towards Data Science

Voice Recognition Tools Review. Alexa, PocketSphinx, Google API or Project Oxford?
1 March 2024, Netguru

provided by Google News

Share this page