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DBMS > BigObject vs. HBase vs. LevelDB vs. Solr

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

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonHBase  Xexclude from comparisonLevelDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesWide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable 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 modelRelational DBMS infoa hierachical model (tree) can be imposedWide column storeKey-value storeSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#342  Overall
#150  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score2.75
Rank#107  Overall
#19  Key-value stores
Score44.28
Rank#24  Overall
#3  Search engines
Websitebigobject.iohbase.apache.orggithub.com/­google/­leveldbsolr.apache.org
Technical documentationdocs.bigobject.iohbase.apache.org/­book.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsolr.apache.org/­resources.html
DeveloperBigObject, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetGoogleApache Software Foundation
Initial release2015200820112006
Current release2.3.4, January 20211.23, February 20219.5.0, February 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoApache version 2Open Source infoBSDOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Unix
Windows infousing Cygwin
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 schemeyesschema-free, schema definition possibleschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes 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 indexesyesnonoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSolr Parallel SQL Interface
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
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 proceduresLuayes infoCoprocessors in JavanoJava plugins
Triggersnoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoSingle row ACID (across millions of columns)nooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
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.yesyesyes
User concepts infoAccess controlnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoyes

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More resources
BigObjectHBaseLevelDBSolr
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