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DBMS > HarperDB vs. Kyligence Enterprise vs. Lovefield vs. Solr vs. Vitess

System Properties Comparison HarperDB vs. Kyligence Enterprise vs. Lovefield vs. Solr vs. Vitess

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonLovefield  Xexclude from comparisonSolr  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A distributed analytics engine for big data, built on top of Apache KylinEmbeddable relational database for web apps written in pure JavaScriptA widely used distributed, scalable search engine based on Apache LuceneScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#244  Overall
#38  Document stores
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitewww.harperdb.iokyligence.io/­kyligence-enterprisegoogle.github.io/­lovefieldsolr.apache.orgvitess.io
Technical documentationdocs.harperdb.io/­docsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdsolr.apache.org/­resources.htmlvitess.io/­docs
DeveloperHarperDBKyligence, Inc.GoogleApache Software FoundationThe Linux Foundation, PlanetScale
Initial release20172016201420062013
Current release3.1, August 20212.1.12, February 20179.6.1, May 202415.0.2, December 2022
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0, commercial licenses available
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 languageNode.jsJavaJavaScriptJavaGo
Server operating systemsLinux
OS X
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Docker
Linux
macOS
Data schemedynamic schemayesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesyes infosupports customizable data types and automatic typingyes
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 indexesyesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSQL-like data manipulation statementsANSI SQL for queries (using Apache Calcite)SQL-like query language infovia JavaScript builder patternSolr Parallel SQL Interfaceyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
JavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
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 proceduresCustom Functions infosince release 3.1noJava pluginsyes infoproprietary syntax
TriggersnoUsing read-only observersyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusternoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definednoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDoptimistic lockingACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes, using LMDByesyes, 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.yesnoyes infousing MemoryDByesyes
User concepts infoAccess controlAccess rights for users and rolesnoyesUsers with fine-grained authorization concept infono user groups or roles

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More resources
HarperDBKyligence EnterpriseLovefieldSolrVitess
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