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DBMS > Amazon DynamoDB vs. Ignite vs. InfinityDB vs. MarkLogic

System Properties Comparison Amazon DynamoDB vs. Ignite vs. InfinityDB vs. MarkLogic

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudApache 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 interfaceOperational and transactional Enterprise NoSQL database
Primary database modelDocument store
Key-value store
Key-value store
Relational DBMS
Key-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.72
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score4.04
Rank#86  Overall
#12  Key-value stores
#46  Relational DBMS
Score0.09
Rank#357  Overall
#53  Key-value stores
Score7.08
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Websiteaws.amazon.com/­dynamodbignite.apache.orgboilerbay.comwww.marklogic.com
Technical documentationdocs.aws.amazon.com/­dynamodbapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manualdocs.marklogic.com
DeveloperAmazonApache Software FoundationBoiler Bay Inc.MarkLogic Corp.
Initial release2012201520022001
Current releaseApache Ignite 2.64.011.0, December 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0commercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetJavaC++
Server operating systemshostedLinux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.yesnoyes
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnoANSI-99 for query and DML statements, subset of DDLnoyes infoSQL92
APIs and other access methodsRESTful HTTP APIHDFS 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)
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
JavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes (compute grid and cache interceptors can be used instead)noyes infovia XQuery or JavaScript
Triggersyes infoby integration with AWS Lambdayes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes (replicated cache)noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes (compute grid and hadoop accelerator)noyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynonono 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 regionACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACID infocan act as a resource manager in an XA/JTA transaction
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, with Range Indexes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Security Hooks for custom implementationsnoRole-based access control at the document and subdocument levels

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More resources
Amazon DynamoDBIgniteInfinityDBMarkLogic
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