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DBMS > IRONdb vs. Solr vs. SQream DB vs. YugabyteDB

System Properties Comparison IRONdb vs. Solr vs. SQream DB vs. YugabyteDB

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonSolr  Xexclude from comparisonSQream DB  Xexclude from comparisonYugabyteDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA widely used distributed, scalable search engine based on Apache Lucenea GPU-based, columnar RDBMS for big data analytics workloadsHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelTime Series DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score41.02
Rank#24  Overall
#3  Search engines
Score0.74
Rank#224  Overall
#103  Relational DBMS
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/solr.apache.orgsqream.comwww.yugabyte.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedsolr.apache.org/­resources.htmldocs.sqream.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperCirconus LLC.Apache Software FoundationSQream TechnologiesYugabyte Inc.
Initial release2017200620172017
Current releaseV0.10.20, January 20189.6.1, May 20242022.1.6, December 20222.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC and C++JavaC++, CUDA, Haskell, Java, ScalaC and C++
Server operating systemsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxLinux
OS X
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesdepending on used data model
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyes infosupports customizable data types and automatic typingyes, ANSI Standard SQL Typesyes
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.noyesno
Secondary indexesnoyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)Solr Parallel SQL Interfaceyesyes, PostgreSQL compatible
APIs and other access methodsHTTP APIJava API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes, in LuaJava pluginsuser defined functions in Pythonyes infosql, plpgsql, C
Triggersnoyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardinghorizontal and vertical partitioningHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesnoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoyesyes
More information provided by the system vendor
IRONdbSolrSQream DBYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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IRONdbSolrSQream DBYugabyteDB
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