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DBMS > AllegroGraph vs. Snowflake vs. Solr vs. TDengine

System Properties Comparison AllegroGraph vs. Snowflake vs. Solr vs. TDengine

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonSnowflake  Xexclude from comparisonSolr  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSCloud-based data warehousing service for structured and semi-structured dataA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS and big data platform
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#199  Overall
#34  Document stores
#18  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score125.38
Rank#9  Overall
#6  Relational DBMS
Score43.91
Rank#24  Overall
#3  Search engines
Score2.63
Rank#116  Overall
#9  Time Series DBMS
Websiteallegrograph.comwww.snowflake.comsolr.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.snowflake.net/­manuals/­index.htmlsolr.apache.org/­resources.htmldocs.tdengine.com
DeveloperFranz Inc.Snowflake Computing Inc.Apache Software FoundationTDEngine, previously Taos Data
Initial release2004201420062019
Current release8.0, December 20239.5.0, February 20243.0, August 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2Open Source infoGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
Data schemeyes infoRDF schemasyes infosupport of semi-structured data formats (JSON, XML, Avro)yes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyes
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.no infobulk load of XML files possibleyesyesno
Secondary indexesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLSPARQL is used as query languageyesSolr Parallel SQL InterfaceStandard SQL with extensions for time-series applications
APIs and other access methodsRESTful HTTP API
SPARQL
CLI Client
JDBC
ODBC
Java API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
JavaScript (Node.js)
Python
.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
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsJava pluginsno
Triggersyesno infosimilar concept for controling cloud resourcesyes infoUser configurable commands triggered on index changesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodeswith FederationyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUsers with fine-grained authorization concept, user roles and pluggable authenticationyesyes
More information provided by the system vendor
AllegroGraphSnowflakeSolrTDengine
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
High 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphSnowflakeSolrTDengine
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