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DBMS > Amazon CloudSearch vs. Pinecone vs. Solr vs. TigerGraph vs. TimesTen

System Properties Comparison Amazon CloudSearch vs. Pinecone vs. Solr vs. TigerGraph vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonPinecone  Xexclude from comparisonSolr  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA managed, cloud-native vector databaseA widely used distributed, scalable search engine based on Apache LuceneA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeIn-Memory RDBMS compatible to Oracle
Primary database modelSearch engineVector DBMSSearch engineGraph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.pinecone.iosolr.apache.orgwww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.pinecone.io/­docs/­overviewsolr.apache.org/­resources.htmldocs.tigergraph.comdocs.oracle.com/­database/­timesten-18.1
DeveloperAmazonPinecone Systems, IncApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20122019200620171998
Current release9.6.1, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedhostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes 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.noyesnono
Secondary indexesyes infoall search fields are automatically indexedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoSolr Parallel SQL InterfaceSQL-like query language (GSQL)yes
APIs and other access methodsHTTP APIRESTful HTTP APIJava API
RESTful HTTP/JSON API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesPython.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoJava pluginsyesPL/SQL
Triggersnoyes infoUser configurable commands triggered on index changesnono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesMulti-source replication
Source-replica replication
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlauthentication via encrypted signaturesyesRole-based access controlfine grained access rights according to SQL-standard

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More resources
Amazon CloudSearchPineconeSolrTigerGraphTimesTen
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