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DBMS > HugeGraph vs. Lovefield vs. Sadas Engine vs. SiriDB vs. Solr

System Properties Comparison HugeGraph vs. Lovefield vs. Sadas Engine vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonLovefield  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSEmbeddable relational database for web apps written in pure JavaScriptSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMSRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitegithub.com/­hugegraph
hugegraph.apache.org
google.github.io/­lovefieldwww.sadasengine.comsiridb.comsolr.apache.org
Technical documentationhugegraph.apache.org/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.siridb.comsolr.apache.org/­resources.html
DeveloperBaiduGoogleSADAS s.r.l.CesbitApache Software Foundation
Initial release20182014200620172006
Current release0.92.1.12, February 20178.09.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree trial version availableOpen Source infoMIT LicenseOpen Source infoApache Version 2
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 languageJavaJavaScriptC++CJava
Server operating systemsLinux
macOS
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAIX
Linux
Windows
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric datayes 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.nonononoyes
Secondary indexesyes infoalso supports composite index and range indexyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyesnoSolr Parallel SQL Interface
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
Proprietary protocol
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesGroovy
Java
Python
JavaScript.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnononoJava plugins
TriggersnoUsing read-only observersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonehorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenonenoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes infomanaged by 'Learn by Usage'yesyes
User concepts infoAccess controlUsers, roles and permissionsnoAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountsyes

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More resources
HugeGraphLovefieldSadas EngineSiriDBSolr
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