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DBMS > Machbase Neo vs. PlanetScale vs. Solr vs. StarRocks vs. Yaacomo

System Properties Comparison Machbase Neo vs. PlanetScale vs. Solr vs. StarRocks vs. Yaacomo

Editorial information provided by DB-Engines
NameMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonPlanetScale  Xexclude from comparisonSolr  Xexclude from comparisonStarRocks  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionTimeSeries DBMS for AIoT and BigDataScalable, distributed, serverless MySQL database platform built on top of VitessA widely used distributed, scalable search engine based on Apache LuceneAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSRelational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitemachbase.complanetscale.comsolr.apache.orgwww.starrocks.ioyaacomo.com
Technical documentationmachbase.com/­dbmsplanetscale.com/­docssolr.apache.org/­resources.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperMachbasePlanetScaleApache Software FoundationThe Linux Foundation infosince Feb 2023Q2WEB GmbH
Initial release20132020200620202009
Current releaseV8.0, August 20239.6.1, May 20242.5.3, March 2023
License infoCommercial or Open Sourcecommercial infofree test version availablecommercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
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 languageCGoJavaC++, Java
Server operating systemsLinux
macOS
Windows
Docker
Linux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxAndroid
Linux
Windows
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyesyes
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.noyesnono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionsSolr Parallel SQL Interfaceyesyes
APIs and other access methodsgRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Java API
RESTful HTTP/JSON API
JDBC
MySQL protocol
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxJava pluginsuser defined functions
Triggersnoyesyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning (by range and hash)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at shard leveloptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyesyes
Durability infoSupport for making data persistentnoyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyesyesnoyes
User concepts infoAccess controlsimple password-based access controlUsers with fine-grained authorization concept infono user groups or rolesyesRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
Machbase Neo infoFormer name was InfinifluxPlanetScaleSolrStarRocksYaacomo
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