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DBMS > Hive vs. Lovefield vs. Machbase Neo vs. Solr

System Properties Comparison Hive vs. Lovefield vs. Machbase Neo vs. Solr

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonLovefield  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonSolr  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopEmbeddable relational database for web apps written in pure JavaScriptTimeSeries DBMS for AIoT and BigDataA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitehive.apache.orggoogle.github.io/­lovefieldmachbase.comsolr.apache.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdmachbase.com/­dbmssolr.apache.org/­resources.html
DeveloperApache Software Foundation infoinitially developed by FacebookGoogleMachbaseApache Software Foundation
Initial release2012201420132006
Current release3.1.3, April 20222.1.12, February 2017V8.0, August 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infofree test version availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptCJava
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language infovia JavaScript builder patternSQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsJDBC
ODBC
Thrift
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
JavaScriptC
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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonoJava plugins
TriggersnoUsing read-only observersnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databasenoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByes infovolatile and lookup tableyes
User concepts infoAccess controlAccess rights for users, groups and rolesnosimple password-based access controlyes

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More resources
HiveLovefieldMachbase Neo infoFormer name was InfinifluxSolr
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