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DBMS > Pinecone vs. Solr vs. TigerGraph vs. TimesTen vs. VoltDB

System Properties Comparison Pinecone vs. Solr vs. TigerGraph vs. TimesTen vs. VoltDB

Editorial information provided by DB-Engines
NamePinecone  Xexclude from comparisonSolr  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA 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 OracleDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelVector DBMSSearch engineGraph DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.pinecone.iosolr.apache.orgwww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.voltdb.com
Technical documentationdocs.pinecone.io/­docs/­overviewsolr.apache.org/­resources.htmldocs.tigergraph.comdocs.oracle.com/­database/­timesten-18.1docs.voltdb.com
DeveloperPinecone Systems, IncApache Software FoundationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005VoltDB Inc.
Initial release20192006201719982010
Current release9.6.1, May 202411 Release 2 (11.2.2.8.0)11.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, C++
Server operating systemshostedAll 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
Linux
OS X infofor development
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyesyes
Typing infopredefined data types such as float or dateString, Number, Booleanyes infosupports customizable data types and automatic typingyesyesyes
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 indexedyesyes
SQL infoSupport of SQLnoSolr Parallel SQL InterfaceSQL-like query language (GSQL)yesyes infoonly a subset of SQL 99
APIs and other access methodsRESTful HTTP APIJava API
RESTful HTTP/JSON API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API
JDBC
RESTful HTTP/JSON API
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
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresJava pluginsyesPL/SQLJava
Triggersyes infoUser configurable commands triggered on index changesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlyesRole-based access controlfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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PineconeSolrTigerGraphTimesTenVoltDB
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