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DBMS > Apache Solr vs. Badger vs. BigObject

System Properties Comparison Apache Solr vs. Badger vs. BigObject

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Editorial information provided by DB-Engines
NameApache Solr  Xexclude from comparisonBadger  Xexclude from comparisonBigObject  Xexclude from comparison
DescriptionA widely used distributed, scalable search engine based on Apache LuceneAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Analytic DBMS for real-time computations and queries
Primary database modelSearch engineKey-value storeRelational DBMS infoa hierachical model (tree) can be imposed
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score32.40
Rank#24  Overall
#3  Search engines
Score0.19
Rank#309  Overall
#45  Key-value stores
Score0.14
Rank#329  Overall
#146  Relational DBMS
Websitesolr.apache.orggithub.com/­dgraph-io/­badgerbigobject.io
Technical documentationsolr.apache.org/­resources.htmlgodoc.org/­github.com/­dgraph-io/­badgerdocs.bigobject.io
DeveloperApache Software FoundationDGraph LabsBigObject, Inc.
Initial release200620172015
Current release9.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infofree community edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)BSD
Linux
OS X
Solaris
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingnoyes
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.yesnono
Secondary indexesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSolr Parallel SQL InterfacenoSQL-like DML and DDL statements
APIs and other access methodsJava API
RESTful HTTP/JSON API
fluentd
ODBC
RESTful HTTP API
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Go
Server-side scripts infoStored proceduresJava pluginsnoLua
Triggersyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistencynonenone
Foreign keys infoReferential integritynonoyes infoautomatically between fact table and dimension tables
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/write lock on objects (tables, trees)
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesnono

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More resources
Apache SolrBadgerBigObject
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