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DBMS > Amazon CloudSearch vs. BigchainDB vs. QuestDB vs. Solr vs. ToroDB

System Properties Comparison Amazon CloudSearch vs. BigchainDB vs. QuestDB vs. Solr vs. ToroDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonBigchainDB  Xexclude from comparisonQuestDB  Xexclude from comparisonSolr  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsA high performance open source SQL database for time series dataA widely used distributed, scalable search engine based on Apache LuceneA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelSearch engineDocument storeTime Series DBMSSearch engineDocument store
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score0.85
Rank#208  Overall
#35  Document stores
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websiteaws.amazon.com/­cloudsearchwww.bigchaindb.comquestdb.iosolr.apache.orggithub.com/­torodb/­server
Technical documentationdocs.aws.amazon.com/­cloudsearchbigchaindb.readthedocs.io/­en/­latestquestdb.io/­docssolr.apache.org/­resources.html
DeveloperAmazonQuestDB Technology IncApache Software Foundation8Kdata
Initial release20122016201420062016
Current release9.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoApache 2.0Open Source infoApache Version 2Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonJava (Zero-GC), C++, RustJavaJava
Server operating systemshostedLinuxLinux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)All OS with a Java 7 VM
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocolyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infosupports customizable data types and automatic typingyes infostring, integer, double, boolean, date, object_id
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.nonoyesno
Secondary indexesyes infoall search fields are automatically indexednoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnonoSQL with time-series extensionsSolr Parallel SQL Interface
APIs and other access methodsHTTP APICLI Client
RESTful HTTP API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonoJava plugins
Triggersnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardinghorizontal partitioning (by timestamps)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication factorSource-replica replication with eventual consistencyyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes
User concepts infoAccess controlauthentication via encrypted signaturesyesyesAccess rights for users and roles
More information provided by the system vendor
Amazon CloudSearchBigchainDBQuestDBSolrToroDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Amazon CloudSearchBigchainDBQuestDBSolrToroDB
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