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DBMS > Amazon DynamoDB vs. eXtremeDB vs. Ignite vs. InfinityDB vs. Memcached

System Properties Comparison Amazon DynamoDB vs. eXtremeDB vs. Ignite vs. InfinityDB vs. Memcached

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudNatively in-memory DBMS with options for persistency, high-availability and clusteringApache 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 Java embedded Key-Value Store which extends the Java Map interfaceIn-memory key-value store, originally intended for caching
Primary database modelDocument store
Key-value store
Relational DBMS
Time Series DBMS
Key-value store
Relational DBMS
Key-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Websiteaws.amazon.com/­dynamodbwww.mcobject.comignite.apache.orgboilerbay.comwww.memcached.org
Technical documentationdocs.aws.amazon.com/­dynamodbwww.mcobject.com/­docs/­extremedb.htmapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manualgithub.com/­memcached/­memcached/­wiki
DeveloperAmazonMcObjectApache Software FoundationBoiler Bay Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release20122001201520022003
Current release8.2, 2021Apache Ignite 2.64.01.6.25, March 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache 2.0commercialOpen Source infoBSD license
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 and C++C++, Java, .NetJavaC
Server operating systemshostedAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
All OS with a Java VMFreeBSD
Linux
OS X
Unix
Windows
Data schemeschema-freeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysno
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 infosupport of XML interfaces availableyesno
Secondary indexesyesyesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Proprietary protocol
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Java.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes (compute grid and cache interceptors can be used instead)nono
Triggersyes infoby integration with AWS Lambdayes infoby defining eventsyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes (replicated cache)nonenone infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes (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 ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynoyesnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsnoyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
Amazon DynamoDBeXtremeDBIgniteInfinityDBMemcached
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DynamoDBeXtremeDBIgniteInfinityDBMemcached
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