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DBMS > EventStoreDB vs. KairosDB vs. Lovefield vs. Qdrant vs. Solr

System Properties Comparison EventStoreDB vs. KairosDB vs. Lovefield vs. Qdrant vs. Solr

Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonKairosDB  Xexclude from comparisonLovefield  Xexclude from comparisonQdrant  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Distributed Time Series DBMS based on Cassandra or H2Embeddable relational database for web apps written in pure JavaScriptA high-performance vector database with neural network or semantic-based matchingA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelEvent StoreTime Series DBMSRelational DBMSVector DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.eventstore.comgithub.com/­kairosdb/­kairosdbgoogle.github.io/­lovefieldgithub.com/­qdrant/­qdrant
qdrant.tech
solr.apache.org
Technical documentationdevelopers.eventstore.comkairosdb.github.iogithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdqdrant.tech/­documentationsolr.apache.org/­resources.html
DeveloperEvent Store LimitedGoogleQdrantApache Software Foundation
Initial release20122013201420212006
Current release21.2, February 20211.2.2, November 20182.1.12, February 20179.6.0, April 2024
License infoCommercial or Open SourceOpen SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open 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 languageJavaJavaScriptRustJava
Server operating systemsLinux
Windows
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariDocker
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyes 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.nononoyes
Secondary indexesnoyesyes infoKeywords, numberic ranges, geo, full-textyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternnoSolr Parallel SQL Interface
APIs and other access methodsGraphite protocol
HTTP REST
Telnet API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript infoNode.js
PHP
Python
JavaScript.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoJava plugins
TriggersnoUsing read-only observersyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandranoneCollection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency, tunable consistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByesyes
User concepts infoAccess controlsimple password-based access controlnoKey-based authenticationyes

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More resources
EventStoreDBKairosDBLovefieldQdrantSolr
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