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DBMS > Lovefield vs. Spark SQL vs. TerarkDB vs. Ultipa

System Properties Comparison Lovefield vs. Spark SQL vs. TerarkDB vs. Ultipa

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptSpark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMSRelational DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websitegoogle.github.io/­lovefieldspark.apache.org/­sqlgithub.com/­bytedance/­terarkdbwww.ultipa.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdspark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwww.ultipa.com/­document
DeveloperGoogleApache Software FoundationByteDance, originally TerarkUltipa
Initial release2014201420162019
Current release2.1.12, February 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptScalaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
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 patternSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
C++ API
Java API
RESTful HTTP API
Supported programming languagesJavaScriptJava
Python
R
Scala
C++
Java
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonono
TriggersUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
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 MemoryDBnoyes
User concepts infoAccess controlnonono

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More resources
LovefieldSpark SQLTerarkDBUltipa
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