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DBMS > Amazon CloudSearch vs. Informix vs. Prometheus vs. SQLite vs. TerarkDB

System Properties Comparison Amazon CloudSearch vs. Informix vs. Prometheus vs. SQLite vs. TerarkDB

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonInformix  Xexclude from comparisonPrometheus  Xexclude from comparisonSQLite  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things dataOpen-source Time Series DBMS and monitoring systemWidely used embeddable, in-process RDBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelSearch engineRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBTime Series DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score17.87
Rank#35  Overall
#22  Relational DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteaws.amazon.com/­cloudsearchwww.ibm.com/­products/­informixprometheus.iowww.sqlite.orggithub.com/­bytedance/­terarkdb
Technical documentationdocs.aws.amazon.com/­cloudsearchinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
prometheus.io/­docswww.sqlite.org/­docs.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAmazonIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Dwayne Richard HippByteDance, originally Terark
Initial release20121984201520002016
Current release14.10.FC5, November 20203.45.3  (15 April 2024), April 2024
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoPublic Domaincommercial inforestricted open source version 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 languageC, C++ and JavaGoCC++
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Windows
server-less
Data schemeyesyesyesyes infodynamic column typesschema-free
Typing infopredefined data types such as float or dateyesyes infoSince Version 12.10 support for JSON/BSON datatypesNumeric data onlyyes infonot rigid because of 'dynamic typing' concept.no
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 infoImport of XML data possiblenono
Secondary indexesyes infoall search fields are automatically indexedyesnoyesno
SQL infoSupport of SQLnoyesnoyes infoSQL-92 is not fully supportedno
APIs and other access methodsHTTP APIJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
C++ API
Java API
Supported programming languages.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C++
Java
Server-side scripts infoStored proceduresnoyesnonono
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMulti-source replication
Source-replica replication
yes infoby Federationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
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.yesnoyesyes
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authentication, authorization, and auditing controlsnonono

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More resources
Amazon CloudSearchInformixPrometheusSQLiteTerarkDB
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