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DBMS > RavenDB vs. Solr vs. TinkerGraph vs. Vitess

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

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonSolr  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA 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 modelDocument storeSearch engineGraph DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Spatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#101  Overall
#18  Document stores
Score41.02
Rank#24  Overall
#3  Search engines
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteravendb.netsolr.apache.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvitess.io
Technical documentationravendb.net/­docssolr.apache.org/­resources.htmlvitess.io/­docs
DeveloperHibernating RhinosApache Software FoundationThe Linux Foundation, PlanetScale
Initial release2010200620092013
Current release5.4, July 20229.6.1, May 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen 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 languageC#JavaJavaGo
Server operating systemsLinux
macOS
Raspberry Pi
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Docker
Linux
macOS
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or datenoyes 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.yesno
Secondary indexesyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query language (RQL)Solr Parallel SQL Interfacenoyes infowith proprietary extensions
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RESTful HTTP/JSON API
TinkerPop 3ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.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 proceduresyesJava pluginsnoyes infoproprietary syntax
Triggersyesyes 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 nodesMulti-source replicationyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual ConsistencynoneEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableoptimistic 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 persistentyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAuthorization levels configured per client per databaseyesnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
RavenDBSolrTinkerGraphVitess
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