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DBMS > Apache Doris vs. HugeGraph vs. Lovefield vs. Solr

System Properties Comparison Apache Doris vs. HugeGraph vs. Lovefield vs. Solr

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScriptA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSGraph DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefieldsolr.apache.org
Technical documentationgithub.com/­apache/­doris/­wikihugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsolr.apache.org/­resources.html
DeveloperApache Software Foundation, originally contributed from BaiduBaiduGoogleApache Software Foundation
Initial release2017201820142006
Current release1.2.2, February 20230.92.1.12, February 20179.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0Open 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 languageJavaJavaJavaScriptJava
Server operating systemsLinuxLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll 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.nononoyes
Secondary indexesyesyes infoalso supports composite index and range indexyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoSQL-like query language infovia JavaScript builder patternSolr Parallel SQL Interface
APIs and other access methodsJDBC
MySQL client
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaGroovy
Java
Python
JavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsasynchronous Gremlin script jobsnoJava plugins
TriggersnonoUsing read-only observersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDByes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsnoyes

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More resources
Apache DorisHugeGraphLovefieldSolr
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Recent citations in the news

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
5 June 2024, hackernoon.com

Workload Isolation in Apache Doris: Optimizing Resource Management and Performance
25 May 2024, hackernoon.com

How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second
1 September 2023, KDnuggets

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Streamlining Data Operations: How a Grocery Chain Optimizes Workloads with Apache Doris
16 May 2024, hackernoon.com

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7 June 2024, The Register

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7 June 2024, SC Media

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11 June 2024, The CyberWire

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23 April 2024, GBHackers

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