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DBMS > FoundationDB vs. jBASE vs. LeanXcale vs. Sqrrl vs. Vitess

System Properties Comparison FoundationDB vs. jBASE vs. LeanXcale vs. Sqrrl vs. Vitess

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonjBASE  Xexclude from comparisonLeanXcale  Xexclude from comparisonSqrrl  Xexclude from comparisonVitess  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.A robust multi-value DBMS comprising development tools and middlewareA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesAdaptable, secure NoSQL built on Apache AccumuloScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Multivalue DBMSKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.leanxcale.comsqrrl.comvitess.io
Technical documentationapple.github.io/­foundationdbdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9vitess.io/­docs
DeveloperFoundationDBRocket Software (formerly Zumasys)LeanXcaleAmazon infooriginally Sqrrl Data, Inc.The Linux Foundation, PlanetScale
Initial release20131991201520122013
Current release6.2.28, November 20205.715.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGo
Server operating systemsLinux
OS X
Windows
AIX
Linux
Windows
LinuxDocker
Linux
macOS
Data schemeschema-free infosome layers support schemasschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateno infosome layers support typingoptionalyesyes
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.yes
Secondary indexesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyEmbedded SQL for jBASE in BASICyes infothrough Apache Derbynoyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Basic
Jabbascript
Java
C
Java
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
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 infoStored proceduresin SQL-layer onlyyesnoyes infoproprietary syntax
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityin SQL-layer onlynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic updates per row, document, or graph entityACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Users with fine-grained authorization concept infono user groups or roles

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More resources
FoundationDBjBASELeanXcaleSqrrlVitess
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