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DBMS > Badger vs. Kinetica vs. Newts vs. Pinecone vs. Prometheus

System Properties Comparison Badger vs. Kinetica vs. Newts vs. Pinecone vs. Prometheus

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonKinetica  Xexclude from comparisonNewts  Xexclude from comparisonPinecone  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Fully vectorized database across both GPUs and CPUsTime Series DBMS based on CassandraA managed, cloud-native vector databaseOpen-source Time Series DBMS and monitoring system
Primary database modelKey-value storeRelational DBMSTime Series DBMSVector DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.kinetica.comopennms.github.io/­newtswww.pinecone.ioprometheus.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.kinetica.comgithub.com/­OpenNMS/­newts/­wikidocs.pinecone.io/­docs/­overviewprometheus.io/­docs
DeveloperDGraph LabsKineticaOpenNMS GroupPinecone Systems, Inc
Initial release20172012201420192015
Current release7.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++JavaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
hostedLinux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesString, Number, BooleanNumeric data only
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.nonononono infoImport of XML data possible
Secondary indexesnoyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
RESTful HTTP APIRESTful HTTP/JSON API
Supported programming languagesGoC++
Java
JavaScript (Node.js)
Python
JavaPython.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on Cassandrayes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
none
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnonono
User concepts infoAccess controlnoAccess rights for users and roles on table levelnono

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More resources
BadgerKineticaNewtsPineconePrometheus
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