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DBMS > atoti vs. FoundationDB vs. HEAVY.AI vs. Lovefield

System Properties Comparison atoti vs. FoundationDB vs. HEAVY.AI vs. Lovefield

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFoundationDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Ordered key-value store. Core features are complimented by layers.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable relational database for web apps written in pure JavaScript
Primary database modelObject oriented DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.32
Rank#290  Overall
#132  Relational DBMS
Websiteatoti.iogithub.com/­apple/­foundationdbgithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefield
Technical documentationdocs.atoti.ioapple.github.io/­foundationdbdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperActiveViamFoundationDBHEAVY.AI, Inc.Google
Initial release201320162014
Current release6.2.28, November 20205.10, January 20222.1.12, February 2017
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++ and CUDAJavaScript
Server operating systemsLinux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateno infosome layers support typingyesyes
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
SQL infoSupport of SQLMultidimensional Expressions (MDX)supported in specific SQL layer onlyyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
All languages supporting JDBC/ODBC/Thrift
Python
JavaScript
Server-side scripts infoStored proceduresPythonin SQL-layer onlynono
TriggersnonoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing MemoryDB
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
atotiFoundationDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Lovefield
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