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DBMS > Lovefield vs. Pinecone vs. TigerGraph vs. Tkrzw

System Properties Comparison Lovefield vs. Pinecone vs. TigerGraph vs. Tkrzw

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonPinecone  Xexclude from comparisonTigerGraph  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA managed, cloud-native vector databaseA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSVector DBMSGraph DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegoogle.github.io/­lovefieldwww.pinecone.iowww.tigergraph.comdbmx.net/­tkrzw
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.pinecone.io/­docs/­overviewdocs.tigergraph.com
DeveloperGooglePinecone Systems, IncMikio Hirabayashi
Initial release2014201920172020
Current release2.1.12, February 20170.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafarihostedLinuxLinux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesno
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.nononono
Secondary indexesyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnoSQL-like query language (GSQL)no
APIs and other access methodsRESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJavaScriptPythonC++
Java
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyesno
TriggersUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDBnonoyes infousing specific database classes
User concepts infoAccess controlnoRole-based access controlno

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More resources
LovefieldPineconeTigerGraphTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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