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DBMS > Solr vs. TDengine vs. Teradata Aster vs. TigerGraph vs. TinkerGraph

System Properties Comparison Solr vs. TDengine vs. Teradata Aster vs. TigerGraph vs. TinkerGraph

Editorial information provided by DB-Engines
NameSolr  Xexclude from comparisonTDengine  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparisonTinkerGraph  Xexclude from comparison
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 LuceneTime Series DBMS and big data platformPlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelSearch engineTime Series DBMSRelational DBMSGraph DBMSGraph DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score44.28
Rank#24  Overall
#3  Search engines
Score2.68
Rank#109  Overall
#8  Time Series DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitesolr.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
www.tigergraph.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationsolr.apache.org/­resources.htmldocs.tdengine.comdocs.tigergraph.com
DeveloperApache Software FoundationTDEngine, previously Taos DataTeradata
Initial release20062019200520172009
Current release9.5.0, February 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL V3, also commercial editions availablecommercialcommercialOpen Source infoApache 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 languageJavaCC++Java
Server operating systemsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
LinuxLinux
Data schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyesschema-free
Typing infopredefined data types such as float or dateyes infosupports customizable data types and automatic typingyesyesyesyes
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.yesnoyes infoin Aster File Storenono
Secondary indexesyes infoAll search fields are automatically indexednoyesno
SQL infoSupport of SQLSolr Parallel SQL InterfaceStandard SQL with extensions for time-series applicationsyesSQL-like query language (GSQL)no
APIs and other access methodsJava API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
TinkerPop 3
Supported programming languages.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
C
C#
C++
Java
Python
R
C++
Java
Groovy
Java
Server-side scripts infoStored proceduresJava pluginsnoR packagesyesno
Triggersyes infoUser configurable commands triggered on index changesyes, via alarm monitoringnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes 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 reduceyes infoSQL Map-Reduce Frameworkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlyesyesfine grained access rights according to SQL-standardRole-based access controlno
More information provided by the system vendor
SolrTDengineTeradata AsterTigerGraphTinkerGraph
Specific characteristicsTDengineā„¢ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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