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DBMS > Amazon SimpleDB vs. Databend vs. GeoSpock vs. IRONdb vs. QuestDB

System Properties Comparison Amazon SimpleDB vs. Databend vs. GeoSpock vs. IRONdb vs. QuestDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonDatabend  Xexclude from comparisonGeoSpock  Xexclude from comparisonIRONdb  Xexclude from comparisonQuestDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitySpatial and temporal data processing engine for extreme data scaleA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high performance open source SQL database for time series data
Primary database modelKey-value storeRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websiteaws.amazon.com/­simpledbgithub.com/­datafuselabs/­databend
www.databend.com
geospock.comwww.circonus.com/solutions/time-series-database/questdb.io
Technical documentationdocs.aws.amazon.com/­simpledbdocs.databend.comdocs.circonus.com/irondb/category/getting-startedquestdb.io/­docs
DeveloperAmazonDatabend LabsGeoSpockCirconus LLC.QuestDB Technology Inc
Initial release2007202120172014
Current release1.0.59, April 20232.0, September 2019V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJava, JavascriptC and C++Java (Zero-GC), C++, Rust
Server operating systemshostedhosted
Linux
macOS
hostedLinuxLinux
macOS
Windows
Data schemeschema-freeyesyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or datenoyesyesyes infotext, numeric, histogramsyes
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallynotemporal, categoricalnono
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)SQL-like query language (Circonus Analytics Query Language: CAQL)SQL with time-series extensions
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
RESTful HTTP API
JDBCHTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnononoyes, in Luano
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneAutomatic shardingAutomatic, metric affinity per nodehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneconfigurable replication factor, datacenter awareSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesnonoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept, user rolesAccess rights for users can be defined per tableno
More information provided by the system vendor
Amazon SimpleDBDatabendGeoSpockIRONdbQuestDB
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 SimpleDBDatabendGeoSpockIRONdbQuestDB
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