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DBMS > Amazon SimpleDB vs. Ignite vs. IRONdb vs. LeanXcale

System Properties Comparison Amazon SimpleDB vs. Ignite vs. IRONdb vs. LeanXcale

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonIgnite  Xexclude from comparisonIRONdb  Xexclude from comparisonLeanXcale  Xexclude from comparison
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 ScioreApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelKey-value storeKey-value store
Relational DBMS
Time Series DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#145  Overall
#24  Key-value stores
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score0.33
Rank#287  Overall
#38  Key-value stores
#132  Relational DBMS
Websiteaws.amazon.com/­simpledbignite.apache.orgwww.circonus.com/solutions/time-series-database/www.leanxcale.com
Technical documentationdocs.aws.amazon.com/­simpledbapacheignite.readme.io/­docsdocs.circonus.com/irondb/category/getting-started
DeveloperAmazonApache Software FoundationCirconus LLC.LeanXcale
Initial release2007201520172015
Current releaseApache Ignite 2.6V0.10.20, January 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial
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 languageC++, Java, .NetC and C++
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infotext, numeric, histograms
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.yesno
Secondary indexesyes infoAll columns are indexed automaticallyyesno
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infothrough Apache Derby
APIs and other access methodsRESTful HTTP APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
Java
Scala
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)yes, in Lua
Triggersnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)configurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationACIDnoACID
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsno

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More resources
Amazon SimpleDBIgniteIRONdbLeanXcale
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