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DBMS > atoti vs. Fauna vs. FileMaker vs. HEAVY.AI vs. Lovefield

System Properties Comparison atoti vs. Fauna vs. FileMaker vs. HEAVY.AI vs. Lovefield

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonFileMaker  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.FileMaker is a cross-platform RDBMS that includes a GUI frontend.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
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Websiteatoti.iofauna.comwww.claris.com/­filemakergithub.com/­heavyai/­heavydb
www.heavy.ai
google.github.io/­lovefield
Technical documentationdocs.atoti.iodocs.fauna.comwww.claris.com/­resources/­documentationdocs.heavy.aigithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperActiveViamFauna, Inc.Claris infoa subsidiary of AppleHEAVY.AI, Inc.Google
Initial release2014198320162014
Current release19.4.1, November 20215.10, January 20222.1.12, February 2017
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaC++ and CUDAJavaScript
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyes infovia pluginsyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsRESTful HTTP APIFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
Vega
Supported programming languagesC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
PHPAll languages supporting JDBC/ODBC/Thrift
Python
JavaScript
Server-side scripts infoStored proceduresPythonuser defined functionsyesnono
TriggersnoyesnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioninghorizontal partitioning infoconsistent hashingnoneSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication, warm standby infosince Version 14Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, 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.yesnoyesyes infousing MemoryDB
User concepts infoAccess controlIdentity management, authentication, and access controlsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standardno

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