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DBMS > Apache HBase vs. FoundationDB vs. ScyllaDB

System Properties Comparison Apache HBase vs. FoundationDB vs. ScyllaDB

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Editorial information provided by DB-Engines
NameApache HBase  Xexclude from comparisonFoundationDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableOrdered key-value store. Core features are complimented by layers.Cassandra and DynamoDB compatible wide column store
Primary database modelWide column storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.25
Rank#26  Overall
#2  Wide column stores
Score0.94
Rank#192  Overall
#32  Document stores
#29  Key-value stores
#89  Relational DBMS
Score3.88
Rank#72  Overall
#5  Wide column stores
Websitehbase.apache.orggithub.com/­apple/­foundationdbwww.scylladb.com
Technical documentationhbase.apache.org/­book.htmlapple.github.io/­foundationdbdocs.scylladb.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetFoundationDBScyllaDB
Initial release200820132015
Current release2.3.4, January 20216.2.28, November 2020ScyllaDB Open Source 6.2.0, October 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache 2.0Open 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 languageJavaC++C++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Linux
Data schemeschema-free, schema definition possibleschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROno infosome layers support typingyes
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.nono
Secondary indexesnonoyes infocluster global secondary indices
SQL infoSupport of SQLnosupported in specific SQL layer onlySQL-like DML and DDL statements (CQL)
APIs and other access methodsJava API
RESTful HTTP API
Thrift
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.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 infoStored proceduresyes infoCoprocessors in Javain SQL-layer onlyyes, Lua
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyLinearizable consistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDyes 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.yesyes infoin-memory tables
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights for users can be defined per object
More information provided by the system vendor
Apache HBaseFoundationDBScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
Apache HBaseFoundationDBScyllaDB
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