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DBMS > Apache Druid vs. Lovefield

System Properties Comparison Apache Druid vs. Lovefield

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.59
Rank#111  Overall
#54  Relational DBMS
#7  Time Series DBMS
Score0.47
Rank#238  Overall
#112  Relational DBMS
Websitedruid.apache.orggoogle.github.io/­lovefield
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperApache Software Foundation and contributorsGoogle
Initial release20122014
Current release0.20.0, October 20202.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScript
Server operating systemsLinux
OS X
Unix
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
JavaScript
Server-side scripts infoStored proceduresnono
TriggersnoUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDB
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemno

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More resources
Apache DruidLovefield
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