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DBMS > Newts vs. Solr vs. Sqrrl vs. STSdb vs. YTsaurus

System Properties Comparison Newts vs. Solr vs. Sqrrl vs. STSdb vs. YTsaurus

Editorial information provided by DB-Engines
NameNewts  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonSTSdb  Xexclude from comparisonYTsaurus  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionTime Series DBMS based on CassandraA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodYTsaurus is an open source platform for distributed storage and processing.
Primary database modelTime Series DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Key-value storeDocument store
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websiteopennms.github.io/­newtssolr.apache.orgsqrrl.comgithub.com/­STSSoft/­STSdb4ytsaurus.tech
Technical documentationgithub.com/­OpenNMS/­newts/­wikisolr.apache.org/­resources.htmlytsaurus.tech/­docs/­en
DeveloperOpenNMS GroupApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.STS Soft SCYandex
Initial release20142006201220112023
Current release9.6.1, May 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercialOpen Source infoGPLv2, commercial license availableOpen Source infoApache License, Version 2.0
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 languageJavaJavaJavaC#C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxWindowsUbuntu
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyes infoprimitive types and user defined types (classes)yes
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 indexedyesno
SQL infoSupport of SQLnoSolr Parallel SQL InterfacenonoYQL, an SQL-based language, is supported
APIs and other access methodsHTTP REST
Java API
Java API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
.NET Client API
Supported programming languagesJava.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C#
Java
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoJava pluginsnono
Triggersnoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infomaking use of HadoopnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesselectable replication factor infomaking use of Hadoopnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingAtomic updates per row, document, or graph entitynoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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
User concepts infoAccess controlnoyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)noAccess Control Lists

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More resources
NewtsSolrSqrrlSTSdbYTsaurus
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