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DBMS > HBase vs. InfluxDB vs. LevelDB vs. Solr

System Properties Comparison HBase vs. InfluxDB vs. LevelDB vs. Solr

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonInfluxDB  Xexclude from comparisonLevelDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableDBMS for storing time series, events and metricsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelWide column storeTime Series DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMS infowith GEO packageSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitehbase.apache.orgwww.influxdata.com/­products/­influxdb-overviewgithub.com/­google/­leveldbsolr.apache.org
Technical documentationhbase.apache.org/­book.htmldocs.influxdata.com/­influxdbgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsolr.apache.org/­resources.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetGoogleApache Software Foundation
Initial release2008201320112006
Current release2.3.4, January 20212.7.6, April 20241.23, February 20219.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoMIT-License; commercial enterprise version availableOpen Source infoBSDOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++Java
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
OS X infothrough Homebrew
Illumos
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-free, schema definition possibleschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateoptions to bring your own types, AVRONumeric data and Stringsnoyes 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 indexesnononoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languagenoSolr Parallel SQL Interface
APIs and other access methodsJava API
RESTful HTTP API
Thrift
HTTP API
JSON over UDP
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoCoprocessors in JavanonoJava plugins
Triggersyesnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlynoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infoin enterprise version onlynoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple rights management via user accountsnoyes
More information provided by the system vendor
HBaseInfluxDBLevelDBSolr
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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