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DBMS > Kinetica vs. LeanXcale vs. RRDtool vs. Stardog

System Properties Comparison Kinetica vs. LeanXcale vs. RRDtool vs. Stardog

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLeanXcale  Xexclude from comparisonRRDtool  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#256  Overall
#118  Relational DBMS
Score0.27
Rank#288  Overall
#41  Key-value stores
#130  Relational DBMS
Score1.68
Rank#137  Overall
#11  Time Series DBMS
Score1.92
Rank#122  Overall
#10  Graph DBMS
#6  RDF stores
Websitewww.kinetica.comwww.leanxcale.comoss.oetiker.ch/­rrdtoolwww.stardog.com
Technical documentationdocs.kinetica.comoss.oetiker.ch/­rrdtool/­docdocs.stardog.com
DeveloperKineticaLeanXcaleTobias OetikerStardog-Union
Initial release2012201519992010
Current release7.1, August 20211.8.0, 20227.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V2 and FLOSScommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemsLinuxHP-UX
Linux
Linux
macOS
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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.nono infoExporting into and restoring from XML files possibleno infoImport/export of XML data possible
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infothrough Apache DerbynoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
in-process shared library
Pipes
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
Java
Scala
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencynoneImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelnoAccess rights for users and roles

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More resources
KineticaLeanXcaleRRDtoolStardog
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