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DBMS > Apache Doris vs. BigchainDB vs. Kinetica vs. LMDB vs. Solr

System Properties Comparison Apache Doris vs. BigchainDB vs. Kinetica vs. LMDB vs. Solr

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonBigchainDB  Xexclude from comparisonKinetica  Xexclude from comparisonLMDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFully vectorized database across both GPUs and CPUsA high performant, light-weight, embedded key-value database libraryA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSDocument storeRelational DBMSKey-value storeSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score1.99
Rank#125  Overall
#21  Key-value stores
Score42.91
Rank#24  Overall
#3  Search engines
Websitedoris.apache.org
github.com/­apache/­doris
www.bigchaindb.comwww.kinetica.comwww.symas.com/­symas-embedded-database-lmdbsolr.apache.org
Technical documentationgithub.com/­apache/­doris/­wikibigchaindb.readthedocs.io/­en/­latestdocs.kinetica.comwww.lmdb.tech/­docsolr.apache.org/­resources.html
DeveloperApache Software Foundation, originally contributed from BaiduKineticaSymasApache Software Foundation
Initial release20172016201220112006
Current release1.2.2, February 20237.1, August 20210.9.32, January 20249.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3commercialOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC, C++CJava
Server operating systemsLinuxLinuxLinuxLinux
Unix
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesnoyesyes 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.nonononoyes
Secondary indexesyesyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsnoSolr Parallel SQL Interface
APIs and other access methodsJDBC
MySQL client
CLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaGo
Haskell
Java
JavaScript
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnoJava plugins
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users and roles on table levelnoyes

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Apache DorisBigchainDBKineticaLMDBSolr
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