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DBMS > Lovefield vs. Machbase Neo vs. OrigoDB vs. WakandaDB

System Properties Comparison Lovefield vs. Machbase Neo vs. OrigoDB vs. WakandaDB

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonOrigoDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptTimeSeries DBMS for AIoT and BigDataA fully ACID in-memory object graph databaseWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitegoogle.github.io/­lovefieldmachbase.comorigodb.comwakanda.github.io
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmachbase.com/­dbmsorigodb.com/­docswakanda.github.io/­doc
DeveloperGoogleMachbaseRobert Friberg et alWakanda SAS
Initial release201420132009 infounder the name LiveDB2012
Current release2.1.12, February 2017V8.0, August 20232.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree test version availableOpen SourceOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptCC#C++, JavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesUser defined using .NET types and collectionsyes
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.nonono infocan be achieved using .NETno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternSQL-like query languagenono
APIs and other access methodsgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
.NET Client API
HTTP API
LINQ
RESTful HTTP API
Supported programming languagesJavaScriptC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.NetJavaScript
Server-side scripts infoStored proceduresnonoyesyes
TriggersUsing read-only observersnoyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databasenoyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes infovolatile and lookup tableyesno
User concepts infoAccess controlnosimple password-based access controlRole based authorizationyes

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