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DBMS > GeoSpock vs. JaguarDB vs. Solr vs. Sqrrl vs. YTsaurus

System Properties Comparison GeoSpock vs. JaguarDB vs. Solr vs. Sqrrl vs. YTsaurus

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonJaguarDB  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonYTsaurus  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scalePerformant, highly scalable DBMS for AI and IoT applicationsA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloYTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSKey-value store
Vector DBMS
Search engineDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Key-value store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websitegeospock.comwww.jaguardb.comsolr.apache.orgsqrrl.comytsaurus.tech
Technical documentationwww.jaguardb.com/­support.htmlsolr.apache.org/­resources.htmlytsaurus.tech/­docs/­en
DeveloperGeoSpockDataJaguar, Inc.Apache Software FoundationAmazon infooriginally Sqrrl Data, Inc.Yandex
Initial release2015200620122023
Current release2.0, September 20193.3 July 20239.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoApache Version 2commercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++ infothe server part. Clients available in other languagesJavaJavaC++
Server operating systemshostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxUbuntu
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyesyes
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 indexestemporal, categoricalyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSolr Parallel SQL InterfacenoYQL, an SQL-based language, is supported
APIs and other access methodsJDBCJDBC
ODBC
Java API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.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++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoJava pluginsno
Triggersnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesselectable replication factor infomaking use of Hadoopyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual 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 datanonooptimistic lockingAtomic updates per row, document, or graph entityACID
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.nonoyes
User concepts infoAccess controlAccess rights for users can be defined per tablerights management via user accountsyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access Control Lists

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More resources
GeoSpockJaguarDBSolrSqrrlYTsaurus
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