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DBMS > Amazon CloudSearch vs. Apache Druid vs. Ignite vs. Prometheus

System Properties Comparison Amazon CloudSearch vs. Apache Druid vs. Ignite vs. Prometheus

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache Druid  Xexclude from comparisonIgnite  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Open-source Time Series DBMS and monitoring system
Primary database modelSearch engineRelational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websiteaws.amazon.com/­cloudsearchdruid.apache.orgignite.apache.orgprometheus.io
Technical documentationdocs.aws.amazon.com/­cloudsearchdruid.apache.org/­docs/­latest/­designapacheignite.readme.io/­docsprometheus.io/­docs
DeveloperAmazonApache Software Foundation and contributorsApache Software Foundation
Initial release2012201220152015
Current release29.0.1, April 2024Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .NetGo
Server operating systemshostedLinux
OS X
Unix
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemeyesyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infoImport of XML data possible
Secondary indexesyes infoall search fields are automatically indexedyesyesno
SQL infoSupport of SQLnoSQL for queryingANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsHTTP APIJDBC
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infomanual/auto, time-basedShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyes, via HDFS, S3 or other storage enginesyes (replicated cache)yes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlauthentication via encrypted signaturesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSecurity Hooks for custom implementationsno

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More resources
Amazon CloudSearchApache DruidIgnitePrometheus
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