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DBMS > Solr vs. TypeDB vs. Vitess

System Properties Comparison Solr vs. TypeDB vs. Vitess

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Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneTypeDB provides developers with an expressive, customizable type system to manage their data using an award-winning query language, TypeQL, while building on a high-performance, distributed architecture.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineGraph DBMS infoThe type-theoretic data model of TypeDB subsumes the graph database model.
Object oriented DBMS infoThe data model of TypeDB comprises object-oriented features such as class inheritance and interfaces.
Relational DBMS infoThe type-theoretic data model of TypeDB subsumes the relational database model.
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score41.02
Rank#24  Overall
#3  Search engines
Score0.70
Rank#230  Overall
#20  Graph DBMS
#8  Object oriented DBMS
#106  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitesolr.apache.orgtypedb.comvitess.io
Technical documentationsolr.apache.org/­resources.htmltypedb.com/­docsvitess.io/­docs
DeveloperApache Software FoundationVaticleThe Linux Foundation, PlanetScale
Initial release200620162013
Current release9.6.1, May 20242.28.3, June 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL Version 3, commercial licenses availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGo
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyes 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 indexesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLSolr Parallel SQL Interfacenoyes infowith proprietary extensions
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (IDE)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
All JVM based languages
C
C++
Java
JavaScript (Node.js)
Python
Rust
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
Triggersyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via raftMulti-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 ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynono infosubstituted by the relationship featureyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesyes infoat REST API level; other APIs in progressUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
SolrTypeDB infoformerly named GraknVitess
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
SolrTypeDB infoformerly named GraknVitess
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13 December 2018, TechCrunch

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13 November 2019, TechTarget

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provided by Google News



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