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DBMS > CockroachDB vs. IBM Cloudant vs. Solr vs. Transbase

System Properties Comparison CockroachDB vs. IBM Cloudant vs. Solr vs. Transbase

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSolr  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Database as a Service offering based on Apache CouchDBA widely used distributed, scalable search engine based on Apache LuceneA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSDocument storeSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitewww.cockroachlabs.comwww.ibm.com/­products/­cloudantsolr.apache.orgwww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.cockroachlabs.com/­docscloud.ibm.com/­docs/­Cloudantsolr.apache.org/­resources.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperCockroach LabsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Apache Software FoundationTransaction Software GmbH
Initial release2015201020061987
Current release24.1.0, May 20249.6.0, April 2024Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache Version 2commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoErlangJavaC and C++
Server operating systemsLinux
macOS
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)FreeBSD
Linux
macOS
Solaris
Windows
Data schemedynamic schemaschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesnoyes 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.nonoyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBCRESTful HTTP/JSON APIJava API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptJava pluginsyes
Triggersnoyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replication
Source-replica replication
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleoptimistic lockingyes
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.nonoyesno
User concepts infoAccess controlRole-based access controlAccess rights for users can be defined per databaseyesfine grained access rights according to SQL-standard

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CockroachDBIBM CloudantSolrTransbase
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