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DBMS > Amazon CloudSearch vs. Memgraph vs. Solr vs. TDengine

System Properties Comparison Amazon CloudSearch vs. Memgraph vs. Solr vs. TDengine

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonMemgraph  Xexclude from comparisonSolr  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn open source graph database built for real-time streaming and compatible with Neo4jA widely used distributed, scalable search engine based on Apache LuceneTime Series DBMS and big data platform
Primary database modelSearch engineGraph DBMSSearch engineTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score2.60
Rank#107  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchmemgraph.comsolr.apache.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdocs.aws.amazon.com/­cloudsearchmemgraph.com/­docssolr.apache.org/­resources.htmldocs.tdengine.com
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperAmazonMemgraph LtdApache Software FoundationTDEngine, previously Taos Data
Initial release2012201720062019
Current release9.6.0, April 20243.0, August 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition availableOpen Source infoApache Version 2Open Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC
Server operating systemshostedLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Windows
Data schemeyesschema-free and schema-optionalyes 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.noyesno
Secondary indexesyes infoall search fields are automatically indexedyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLnonoSolr Parallel SQL InterfaceStandard SQL with extensions for time-series applications
APIs and other access methodsHTTP APIBolt protocol
Cypher query language
Java API
RESTful HTTP/JSON API
JDBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.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 proceduresnoJava pluginsno
Triggersnoyes infoUser configurable commands triggered on index changesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infodynamic graph partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication using RAFTyesyes
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlauthentication via encrypted signaturesUsers, roles and permissionsyesyes
More information provided by the system vendor
Amazon CloudSearchMemgraphSolrTDengine
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
TDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
High Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
TDengine 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 modelsYou can check out our pricing model and licenses on the company website .
» more
TDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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More resources
Amazon CloudSearchMemgraphSolrTDengine
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Recent citations in the news

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