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DBMS > Google Cloud Datastore vs. Machbase Neo vs. Solr vs. StarRocks vs. Yaacomo

System Properties Comparison Google Cloud Datastore vs. Machbase Neo vs. Solr vs. StarRocks vs. Yaacomo

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  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
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformTimeSeries 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 modelDocument storeTime Series DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
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
Websitecloud.google.com/­datastoremachbase.comsolr.apache.orgwww.starrocks.ioyaacomo.com
Technical documentationcloud.google.com/­datastore/­docsmachbase.com/­dbmssolr.apache.org/­resources.htmldocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGoogleMachbaseApache Software FoundationThe Linux Foundation infosince Feb 2023Q2WEB GmbH
Initial release20082013200620202009
Current releaseV8.0, 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 serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++, Java
Server operating systemshostedLinux
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 schemeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyes 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.nonoyesnono
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languageSolr Parallel SQL Interfaceyesyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
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
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
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 proceduresusing Google App EnginenoJava pluginsuser defined functions
TriggersCallbacks using the Google Apps Enginenoyes 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 nodesMulti-source replication using Paxosselectable replication factoryesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnooptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyes infovolatile and lookup tableyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access controlyesRole based access control and fine grained access rightsfine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreMachbase Neo infoFormer name was InfinifluxSolrStarRocksYaacomo
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