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DBMS > FeatureBase vs. Solr vs. TinkerGraph vs. Vitess

System Properties Comparison FeatureBase vs. Solr vs. TinkerGraph vs. Vitess

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A widely used distributed, scalable search engine based on Apache LuceneA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSSearch engineGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.featurebase.comsolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvitess.io
Technical documentationdocs.featurebase.comsolr.apache.org/­resources.htmlvitess.io/­docs
DeveloperMolecula and Pilosa Open Source ContributorsApache Software FoundationThe Linux Foundation, PlanetScale
Initial release2017200620092013
Current release2022, May 20229.6.1, May 202415.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJavaGo
Server operating systemsLinux
macOS
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Docker
Linux
macOS
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateyesyes 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.noyesno
Secondary indexesnoyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSQL queriesSolr Parallel SQL Interfacenoyes infowith proprietary extensions
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Java API
RESTful HTTP/JSON API
TinkerPop 3ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Groovy
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresJava pluginsnoyes infoproprietary syntax
Triggersnoyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesoptimistic lockingnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes, using Linux fsyncyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
FeatureBaseSolrTinkerGraphVitess
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