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DBMS > FoundationDB vs. RavenDB vs. ScyllaDB

System Properties Comparison FoundationDB vs. RavenDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonRavenDB  Xexclude from comparisonScyllaDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseCassandra and DynamoDB compatible wide column store
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document storeWide column store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#189  Overall
#32  Document stores
#29  Key-value stores
#86  Relational DBMS
Score2.53
Rank#99  Overall
#17  Document stores
Score3.61
Rank#72  Overall
#5  Wide column stores
Websitegithub.com/­apple/­foundationdbravendb.netwww.scylladb.com
Technical documentationapple.github.io/­foundationdbravendb.net/­docsdocs.scylladb.com
DeveloperFoundationDBHibernating RhinosScyllaDB
Initial release201320102015
Current release6.2.28, November 20205.4, July 2022ScyllaDB Open Source 6.2.0, October 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C++
Server operating systemsLinux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-free infosome layers support schemasschema-freeschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingnoyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query language (RQL)SQL-like DML and DDL statements (CQL)
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 infoStored proceduresin SQL-layer onlyyesyes, Lua
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction availableyes infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoin-memory tables
User concepts infoAccess controlnoAuthorization levels configured per client per databaseAccess rights for users can be defined per object

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More resources
FoundationDBRavenDBScyllaDB
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 News

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

Apple Acquires FoundationDB
24 March 2015, blogs.wsj.com

provided by Google News

RavenDB Launches Version 6.0 Lightning Fast Queries, Data Integrations, Corax Indexing Engine, and Sharding
3 October 2023, PR Newswire

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31 August 2020, InfoQ.com

Install the NoSQL RavenDB Data System
14 May 2021, The New Stack

Get To Know: Oren Eini, CEO, RavenDB
22 October 2019, Intelligent CIO

Fig. 5. Storage size of MySQL and Elasticsearch DB comparison.
25 August 2018, ResearchGate

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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

What Does "Scylla" Mean In Prison Break? The Company Guards' Origin Explained
30 December 2024, Screen Rant

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

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14 April 2019, insideainews.com

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