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DBMS > Amazon SimpleDB vs. BoltDB vs. Oracle vs. QuestDB vs. Sphinx

System Properties Comparison Amazon SimpleDB vs. BoltDB vs. Oracle vs. QuestDB vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonBoltDB  Xexclude from comparisonOracle  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparison
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 embedded key-value store for Go.Widely used RDBMSA high performance open source SQL database for time series dataOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeKey-value storeRelational DBMSTime Series DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­simpledbgithub.com/­boltdb/­boltwww.oracle.com/­databasequestdb.iosphinxsearch.com
Technical documentationdocs.aws.amazon.com/­simpledbdocs.oracle.com/­en/­databasequestdb.io/­docssphinxsearch.com/­docs
DeveloperAmazonOracleQuestDB Technology IncSphinx Technologies Inc.
Initial release20072013198020142001
Current release23c, September 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
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 languageGoC and C++Java (Zero-GC), C++, RustC++
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes infoSchemaless in JSON and XML columnsyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or datenonoyesyesno
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 columns are indexed automaticallynoyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyes infowith proprietary extensionsSQL with time-series extensionsSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
GoC
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnonoPL/SQL infoalso stored procedures in Java possiblenono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationnoneSharding, horizontal partitioninghorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication
Source-replica replication
Source-replica replication with eventual consistencynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationyesACID infoisolation level can be parameterizedACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)nofine grained access rights according to SQL-standardno
More information provided by the system vendor
Amazon SimpleDBBoltDBOracleQuestDBSphinx
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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