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DBMS > Drizzle vs. Lovefield vs. Solr vs. Sqrrl vs. VelocityDB

System Properties Comparison Drizzle vs. Lovefield vs. Solr vs. Sqrrl vs. VelocityDB

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonLovefield  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonVelocityDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Embeddable relational database for web apps written in pure JavaScriptA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#257  Overall
#119  Relational DBMS
Score53.59
Rank#17  Overall
#3  Search engines
Score0.07
Rank#298  Overall
#27  Graph DBMS
#16  Object oriented DBMS
Websitegoogle.github.io/­lovefieldlucene.apache.org/­solrsqrrl.comvelocitydb.com
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdlucene.apache.org/­solr/­resources.htmlvelocitydb.com/­UserGuide
DeveloperDrizzle project, originally started by Brian AkerGoogleApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.VelocityDB Inc
Initial release20082014200620122011
Current release7.2.4, September 20122.1.12, February 20178.4.1, January 20207.x
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache Version 2commercialcommercial
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 languageC++JavaScriptJavaJavaC#
Server operating systemsFreeBSD
Linux
OS X
server-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)LinuxAny that supports .NET
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes 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.noyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like query language infovia JavaScript builder patternSolr Parallel SQL Interfacenono
APIs and other access methodsJDBCJava API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
.Net
Supported programming languagesC
C++
Java
PHP
JavaScript.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
Server-side scripts infoStored proceduresnonoJava pluginsnono
Triggersno infohooks for callbacks inside the server can be used.Using read-only observersyes infoUser configurable commands triggered on index changesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
noneyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr; and streaming expressions to reduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Based on Windows Authentication

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More resources
DrizzleLovefieldSolrSqrrlVelocityDB
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