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DBMS > Newts vs. PlanetScale vs. Prometheus vs. Stardog vs. Yaacomo

System Properties Comparison Newts vs. PlanetScale vs. Prometheus vs. Stardog vs. Yaacomo

Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonPlanetScale  Xexclude from comparisonPrometheus  Xexclude from comparisonStardog  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionTime Series DBMS based on CassandraScalable, distributed, serverless MySQL database platform built on top of VitessOpen-source Time Series DBMS and monitoring systemEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websiteopennms.github.io/­newtsplanetscale.comprometheus.iowww.stardog.comyaacomo.com
Technical documentationgithub.com/­OpenNMS/­newts/­wikiplanetscale.com/­docsprometheus.io/­docsdocs.stardog.com
DeveloperOpenNMS GroupPlanetScaleStardog-UnionQ2WEB GmbH
Initial release20142020201520102009
Current release7.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoGoJava
Server operating systemsLinux
OS X
Windows
Docker
Linux
macOS
Linux
Windows
Linux
macOS
Windows
Android
Linux
Windows
Data schemeschema-freeyesyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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 infoImport of XML data possibleno infoImport/export of XML data possibleno
Secondary indexesnoyesnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsHTTP REST
Java API
ADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP/JSON APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
Supported programming languagesJavaAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersnoyesnoyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes infoby FederationMulti-source replication in HA-ClusterSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency across shards
Immediate Consistency within a shard
noneImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard levelnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyesyes
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.noyesnoyesyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesnoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
NewtsPlanetScalePrometheusStardogYaacomo
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