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DBMS > Amazon CloudSearch vs. Apache IoTDB vs. Apache Phoenix vs. Ignite

System Properties Comparison Amazon CloudSearch vs. Apache IoTDB vs. Apache Phoenix vs. Ignite

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Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonApache IoTDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA scale-out RDBMS with evolutionary schema built on Apache HBaseApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelSearch engineTime Series DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websiteaws.amazon.com/­cloudsearchiotdb.apache.orgphoenix.apache.orgignite.apache.org
Technical documentationdocs.aws.amazon.com/­cloudsearchiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlphoenix.apache.orgapacheignite.readme.io/­docs
DeveloperAmazonApache Software FoundationApache Software FoundationApache Software Foundation
Initial release2012201820142015
Current release1.1.0, April 20235.0-HBase2, July 2018 and 4.15-HBase1, December 2019Apache Ignite 2.6
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC++, Java, .Net
Server operating systemshostedAll OS with a Java VM (>= 1.8)Linux
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes infolate-bound, schema-on-read capabilitiesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyes infoall search fields are automatically indexedyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsHTTP APIJDBC
Native API
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesuser defined functionsyes (compute grid and cache interceptors can be used instead)
Triggersnoyesnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredhorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and SparkHadoop integrationyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.yesyesyes
User concepts infoAccess controlauthentication via encrypted signaturesyesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancySecurity Hooks for custom implementations

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More resources
Amazon CloudSearchApache IoTDBApache PhoenixIgnite
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