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DBMS > Amazon DynamoDB vs. Cachelot.io vs. HugeGraph vs. Hypertable

System Properties Comparison Amazon DynamoDB vs. Cachelot.io vs. HugeGraph vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonCachelot.io  Xexclude from comparisonHugeGraph  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudIn-memory caching systemA fast-speed and highly-scalable Graph DBMSAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelDocument store
Key-value store
Key-value storeGraph DBMSWide column 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
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websiteaws.amazon.com/­dynamodbcachelot.iogithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.aws.amazon.com/­dynamodbhugegraph.apache.org/­docs
DeveloperAmazonBaiduHypertable Inc.
Initial release2012201520182009
Current release0.90.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoSimplified BSD LicenseOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license available
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++JavaC++
Server operating systemshostedFreeBSD
Linux
OS X
Linux
macOS
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nono
Secondary indexesyesnoyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnononono
APIs and other access methodsRESTful HTTP APIMemcached protocolJava API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Thrift
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Groovy
Java
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoasynchronous Gremlin script jobsno
Triggersyes infoby integration with AWS Lambdanonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)novia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
noneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno
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 regionnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers, roles and permissionsno

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More resources
Amazon DynamoDBCachelot.ioHugeGraphHypertable
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Introducing configurable maximum throughput for Amazon DynamoDB on-demand | Amazon Web Services
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