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DBMS > Fujitsu Enterprise Postgres vs. Machbase Neo vs. Solr vs. StarRocks vs. Yaacomo

System Properties Comparison Fujitsu Enterprise Postgres vs. Machbase Neo vs. Solr vs. StarRocks vs. Yaacomo

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  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
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.TimeSeries DBMS for AIoT and BigDataA 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 modelRelational DBMSTime Series 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
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score0.17
Rank#337  Overall
#30  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitewww.postgresql.fastware.commachbase.comsolr.apache.orgwww.starrocks.ioyaacomo.com
Technical documentationwww.postgresql.fastware.com/­product-manualsmachbase.com/­dbmssolr.apache.org/­resources.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyMachbaseApache Software FoundationThe Linux Foundation infosince Feb 2023Q2WEB GmbH
Initial release2013200620202009
Current releaseFujitsu Enterprise Postgres 14, January 2022V8.0, August 20239.6.1, May 20242.5.3, March 2023
License infoCommercial or Open Sourcecommercialcommercial infofree test version availableOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCCJavaC++, Java
Server operating systemsLinux
Windows
Linux
macOS
Windows
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 SQLyesSQL-like query languageSolr Parallel SQL Interfaceyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Java API
RESTful HTTP/JSON API
JDBC
MySQL protocol
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Java
Server-side scripts infoStored proceduresuser defined functionsnoJava pluginsuser defined functions
Triggersyesnoyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingShardinghorizontal partitioning (by range and hash)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryesSource-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 systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlyesRole based access control and fine grained access rightsfine grained access rights according to SQL-standard
More information provided by the system vendor
Fujitsu Enterprise PostgresMachbase Neo infoFormer name was InfinifluxSolrStarRocksYaacomo
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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Fujitsu Enterprise PostgresMachbase Neo infoFormer name was InfinifluxSolrStarRocksYaacomo
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