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DBMS > Badger vs. GBase vs. NuoDB vs. Solr vs. TDengine

System Properties Comparison Badger vs. GBase vs. NuoDB vs. Solr vs. TDengine

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonGBase  Xexclude from comparisonNuoDB  Xexclude from comparisonSolr  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.NuoDB is a webscale distributed database that supports SQL and ACID transactionsA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS and big data platform
Primary database modelKey-value storeRelational DBMSRelational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.gbase.cnwww.3ds.com/­nuodb-distributed-sql-databasesolr.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdoc.nuodb.comsolr.apache.org/­resources.htmldocs.tdengine.com
DeveloperDGraph LabsGeneral Data Technology Co., Ltd.Dassault Systèmes infooriginally NuoDB, Inc.Apache Software FoundationTDEngine, previously Taos Data
Initial release20172004201320062019
Current releaseGBase 8a, GBase 8s, GBase 8c9.6.1, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infolimited edition freeOpen Source infoApache Version 2Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, Java, PythonC++JavaC
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
Data schemeschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or datenoyesyesyes 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.noyesnoyesno
Secondary indexesnoyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnoStandard with numerous extensionsyesSolr Parallel SQL InterfaceStandard SQL with extensions for time-series applications
APIs and other access methodsADO.NET
C API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Supported programming languagesGoC#.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsJava, SQLJava pluginsno
Triggersnoyesyesyes infoUser configurable commands triggered on index changesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningdata is dynamically stored/cached on the nodes where it is read/writtenShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoManaged transparently by NuoDByesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infotunable commit protocoloptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
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.noyes infoTemporary tableyes
User concepts infoAccess controlnoyesStandard SQL roles/ privileges, Administrative Usersyesyes
More information provided by the system vendor
BadgerGBaseNuoDBSolrTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
BadgerGBaseNuoDBSolrTDengine
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