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DBMS > Amazon SimpleDB vs. Hawkular Metrics vs. Titan vs. Vitess

System Properties Comparison Amazon SimpleDB vs. Hawkular Metrics vs. Titan vs. Vitess

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Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTitan  Xexclude from comparisonVitess  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Titan is a Graph DBMS optimized for distributed clusters.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value storeTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteaws.amazon.com/­simpledbwww.hawkular.orggithub.com/­thinkaurelius/­titanvitess.io
Technical documentationdocs.aws.amazon.com/­simpledbwww.hawkular.org/­hawkular-metrics/­docs/­user-guidegithub.com/­thinkaurelius/­titan/­wikivitess.io/­docs
DeveloperAmazonCommunity supported by Red HatAurelius, owned by DataStaxThe Linux Foundation, PlanetScale
Initial release2007201420122013
Current release15.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache license, version 2.0Open Source infoApache Version 2.0, commercial licenses 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 languageJavaJavaGo
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Unix
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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
Secondary indexesyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLnononoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIHTTP RESTJava API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
Clojure
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesyes infoproprietary syntax
Triggersnoyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationSharding infobased on Cassandrayes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandrayesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infoRelationships in graphyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
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)noUser authentification and security via Rexster Graph ServerUsers with fine-grained authorization concept infono user groups or roles

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More resources
Amazon SimpleDBHawkular MetricsTitanVitess
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