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DBMS > Lovefield vs. OmniSci vs. Yanza

System Properties Comparison Lovefield vs. OmniSci vs. Yanza

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.42
Rank#250  Overall
#119  Relational DBMS
Score1.38
Rank#144  Overall
#70  Relational DBMS
Score0.00
Rank#354  Overall
#34  Time Series DBMS
Websitegoogle.github.io/­lovefieldwww.omnisci.comyanza.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.omnisci.com
DeveloperGoogleMapD Technologies, Inc.Yanza
Initial release201420162015
Current release2.1.12, February 20175.6, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++ and CUDA
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxWindows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyesno
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBC/Thrift
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonono
TriggersUsing read-only observersnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
LovefieldOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018Yanza
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