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DBMS > Solr vs. Sqrrl vs. Teradata vs. Teradata Aster vs. Tkrzw

System Properties Comparison Solr vs. Sqrrl vs. Teradata vs. Teradata Aster vs. Tkrzw

Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA widely used distributed, scalable search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache AccumuloA hybrid cloud data analytics software platform (Teradata Vantage)Platform for big data analytics on multistructured data sources and typesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score41.02
Rank#24  Overall
#3  Search engines
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitesolr.apache.orgsqrrl.comwww.teradata.comdbmx.net/­tkrzw
Technical documentationsolr.apache.org/­resources.htmldocs.teradata.com
DeveloperApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.TeradataTeradataMikio Hirabayashi
Initial release20062012198420052020
Current release9.6.1, May 2024Teradata Vantage 1.0 MU2, January 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialcommercialOpen Source infoApache 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 languageJavaJavaC++
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linuxhosted
Linux
LinuxLinux
macOS
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesyesyesno
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.yesyesyes infoin Aster File Storeno
Secondary indexesyes infoAll search fields are automatically indexedyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSolr Parallel SQL Interfacenoyes infoSQL 2016 + extensionsyesno
APIs and other access methodsJava API
RESTful HTTP/JSON API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languages.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
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C#
C++
Java
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJava pluginsnoyes infoUDFs, stored procedures, table functions in parallelR packagesno
Triggersyes infoUser configurable commands triggered on index changesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of HadoopSharding infoHashingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesnoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingAtomic updates per row, document, or graph entityACIDACID
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.yesyesnoyes infousing specific database classes
User concepts infoAccess controlyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
SolrSqrrlTeradataTeradata AsterTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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