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DBMS > Lovefield vs. Qdrant vs. RisingWave vs. SiriDB vs. Solr

System Properties Comparison Lovefield vs. Qdrant vs. RisingWave vs. SiriDB vs. Solr

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonQdrant  Xexclude from comparisonRisingWave  Xexclude from comparisonSiriDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA high-performance vector database with neural network or semantic-based matchingA distributed RDBMS for stream processing, wire-compatible with PostgreSQLOpen Source Time Series DBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSVector DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Score0.64
Rank#238  Overall
#110  Relational DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitegoogle.github.io/­lovefieldgithub.com/­qdrant/­qdrant
qdrant.tech
www.risingwave.com/­databasesiridb.comsolr.apache.org
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdqdrant.tech/­documentationdocs.risingwave.com/­docs/­current/­introdocs.siridb.comsolr.apache.org/­resources.html
DeveloperGoogleQdrantRisingWave LabsCesbitApache Software Foundation
Initial release20142021202220172006
Current release2.1.12, February 20171.2, September 20239.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open 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 languageJavaScriptRustRustCJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariDocker
Linux
macOS
Windows
Docker
Linux
macOS
LinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, BooleanStandard SQL-types and JSONyes 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 indexesyesyes infoKeywords, numberic ranges, geo, full-textyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnoyesnoSolr Parallel SQL Interface
APIs and other access methodsgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
JDBC
PostgreSQL wire protocol
HTTP APIJava API
RESTful HTTP/JSON API
Supported programming languagesJavaScript.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
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 proceduresnoUDFs in Python or JavanoJava plugins
TriggersUsing read-only observersnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneCollection-level replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesyesyesyes
User concepts infoAccess controlnoKey-based authenticationUsers and Rolessimple rights management via user accountsyes

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More resources
LovefieldQdrantRisingWaveSiriDBSolr
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