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DBMS > Kinetica vs. LevelDB vs. ReductStore vs. TerminusDB

System Properties Comparison Kinetica vs. LevelDB vs. ReductStore vs. TerminusDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonReductStore  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSKey-value storeTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.kinetica.comgithub.com/­google/­leveldbgithub.com/­reductstore
www.reduct.store
terminusdb.com
Technical documentationdocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.reduct.store/­docsterminusdb.github.io/­terminusdb/­#
DeveloperKineticaGoogleReductStore LLCDataChemist Ltd.
Initial release2012201120232018
Current release7.1, August 20211.23, February 20211.9, March 202411.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoBusiness Source License 1.1Open Source infoGPL V3
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++C++, RustProlog, Rust
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Docker
Linux
macOS
Windows
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (WOQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C++
JavaScript (Node.js)
Python
Rust
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelnoRole-based access control

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More resources
KineticaLevelDBReductStoreTerminusDB infoformer name was DataChemist
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