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DBMS > JaguarDB vs. Rockset vs. Solr vs. Sqrrl vs. XTDB

System Properties Comparison JaguarDB vs. Rockset vs. Solr vs. Sqrrl vs. XTDB

Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonRockset  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonXTDB infoformerly named Crux  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.
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsA scalable, reliable search and analytics service in the cloud, built on RocksDBA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Vector DBMS
Document storeSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsRelational DBMS
Search engine
Spatial 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
Score0.79
Rank#211  Overall
#35  Document stores
Score42.91
Rank#24  Overall
#3  Search engines
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.jaguardb.comrockset.comsolr.apache.orgsqrrl.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.jaguardb.com/­support.htmldocs.rockset.comsolr.apache.org/­resources.htmlwww.xtdb.com/­docs
DeveloperDataJaguar, Inc.RocksetApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.Juxt Ltd.
Initial release20152019200620122019
Current release3.3 July 20239.6.0, April 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialOpen Source infoApache Version 2commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesC++JavaJavaClojure
Server operating systemsLinuxhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeschema-free
Typing infopredefined data types such as float or dateyesdynamic typingyes infosupports customizable data types and automatic typingyesyes, extensible-data-notation format
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.nono infoingestion from XML files supportedyesno
Secondary indexesyesall fields are automatically indexedyes infoAll search fields are automatically indexedyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersRead-only SQL queries, including JOINsSolr Parallel SQL Interfacenolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
HTTP RESTJava API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
HTTP REST
JDBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
.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
Clojure
Java
Server-side scripts infoStored proceduresnonoJava pluginsnono
Triggersnonoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesselectable replication factor infomaking use of Hadoopyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonononono
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, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlrights management via user accountsAccess rights for users and organizations can be defined via Rockset consoleyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
JaguarDBRocksetSolrSqrrlXTDB infoformerly named Crux
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