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DBMS > Sequoiadb vs. Solr vs. Teradata vs. Tkrzw vs. Yaacomo

System Properties Comparison Sequoiadb vs. Solr vs. Teradata vs. Tkrzw vs. Yaacomo

Editorial information provided by DB-Engines
NameSequoiadb  Xexclude from comparisonSolr  Xexclude from comparisonTeradata  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionNewSQL database with distributed OLTP and SQLA widely used distributed, scalable search engine based on Apache LuceneA hybrid cloud data analytics software platform (Teradata Vantage)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Relational DBMS
Search engineRelational DBMSKey-value storeRelational DBMS
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
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
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
Websitewww.sequoiadb.comsolr.apache.orgwww.teradata.comdbmx.net/­tkrzwyaacomo.com
Technical documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexsolr.apache.org/­resources.htmldocs.teradata.com
DeveloperSequoiadb Ltd.Apache Software FoundationTeradataMikio HirabayashiQ2WEB GmbH
Initial release20132006198420202009
Current release9.6.1, May 2024Teradata Vantage 1.0 MU2, January 20190.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache Version 2commercialOpen Source infoApache Version 2.0commercial
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 languageC++JavaC++
Server operating systemsLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hosted
Linux
Linux
macOS
Android
Linux
Windows
Data schemeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-freeyes
Typing infopredefined data types such as float or dateyes infooid, date, timestamp, binary, regexyes infosupports customizable data types and automatic typingyesnoyes
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.noyesyesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLSQL-like query languageSolr Parallel SQL Interfaceyes infoSQL 2016 + extensionsnoyes
APIs and other access methodsproprietary protocol using JSONJava API
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
ODBC
Supported programming languages.Net
C++
Java
PHP
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptJava pluginsyes infoUDFs, stored procedures, table functions in parallelno
Triggersnoyes infoUser configurable commands triggered on index changesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoHashingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataDocument is locked during a transactionoptimistic lockingACIDACID
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.noyesyesyes infousing specific database classesyes
User concepts infoAccess controlsimple password-based access controlyesfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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More resources
SequoiadbSolrTeradataTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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