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DBMS > Badger vs. ObjectBox vs. Rockset vs. Solr vs. Teradata

System Properties Comparison Badger vs. ObjectBox vs. Rockset vs. Solr vs. Teradata

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonObjectBox  Xexclude from comparisonRockset  Xexclude from comparisonSolr  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Extremely fast embedded database for small devices, IoT and MobileA scalable, reliable search and analytics service in the cloud, built on RocksDBA widely used distributed, scalable search engine based on Apache LuceneA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelKey-value storeObject oriented DBMSDocument storeSearch engineRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
Search engine
Spatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerobjectbox.iorockset.comsolr.apache.orgwww.teradata.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.objectbox.iodocs.rockset.comsolr.apache.org/­resources.htmldocs.teradata.com
DeveloperDGraph LabsObjectBox LimitedRocksetApache Software FoundationTeradata
Initial release20172017201920061984
Current release9.6.0, April 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hosted
Linux
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or datenoyesdynamic typingyes infosupports customizable data types and automatic typingyes
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.nonono infoingestion from XML files supportedyesyes
Secondary indexesnoyesall fields are automatically indexedyes infoAll search fields are automatically indexedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINsSolr Parallel SQL Interfaceyes infoSQL 2016 + extensions
APIs and other access methodsProprietary native APIHTTP RESTJava API
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGoC
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Go
Java
JavaScript (Node.js)
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnononoJava pluginsyes infoUDFs, stored procedures, table functions in parallel
Triggersnononoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneAutomatic shardingShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneonline/offline synchronization between client and serveryesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnoyesAccess rights for users and organizations can be defined via Rockset consoleyesfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerObjectBoxRocksetSolrTeradata
News

The first On-Device Vector Database: ObjectBox 4.0
16 May 2024

Edge AI: The era of on-device AI
23 April 2024

In-Memory Database Use Cases
15 February 2024

Data Viewer for Objects – announcing ObjectBox Admin
14 November 2023

Vector Databases for Edge AI
9 August 2023

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More resources
BadgerObjectBoxRocksetSolrTeradata
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