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DBMS > Apache Doris vs. GeoSpock vs. Microsoft Azure Cosmos DB vs. Solr

System Properties Comparison Apache Doris vs. GeoSpock vs. Microsoft Azure Cosmos DB vs. Solr

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGeoSpock  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSolr  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolSpatial and temporal data processing engine for extreme data scaleGlobally distributed, horizontally scalable, multi-model database serviceA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Search engine
Secondary database modelsTime Series DBMSSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score41.02
Rank#24  Overall
#3  Search engines
Websitedoris.apache.org
github.com/­apache/­doris
geospock.comazure.microsoft.com/­services/­cosmos-dbsolr.apache.org
Technical documentationgithub.com/­apache/­doris/­wikilearn.microsoft.com/­azure/­cosmos-dbsolr.apache.org/­resources.html
DeveloperApache Software Foundation, originally contributed from BaiduGeoSpockMicrosoftApache Software Foundation
Initial release201720142006
Current release1.2.2, February 20232.0, September 20199.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, JavascriptJava
Server operating systemsLinuxhostedhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesyes 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.nonoyes
Secondary indexesyestemporal, categoricalyes infoAll properties auto-indexed by defaultyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)SQL-like query languageSolr Parallel SQL Interface
APIs and other access methodsJDBC
MySQL client
JDBCDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Java API
RESTful HTTP/JSON API
Supported programming languagesJava.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.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 functionsnoJavaScriptJava plugins
TriggersnonoJavaScriptyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic shardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*spark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableAccess rights can be defined down to the item levelyes

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More resources
Apache DorisGeoSpockMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSolr
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