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DBMS > Amazon DocumentDB vs. Blueflood vs. Ehcache vs. etcd vs. Hazelcast

System Properties Comparison Amazon DocumentDB vs. Blueflood vs. Ehcache vs. etcd vs. Hazelcast

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBlueflood  Xexclude from comparisonEhcache  Xexclude from comparisonetcd  Xexclude from comparisonHazelcast  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable TimeSeries DBMS based on CassandraA widely adopted Java cache with tiered storage optionsA distributed reliable key-value storeA widely adopted in-memory data grid
Primary database modelDocument storeTime Series DBMSKey-value storeKey-value storeKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Websiteaws.amazon.com/­documentdbblueflood.iowww.ehcache.orgetcd.io
github.com/­etcd-io/­etcd
hazelcast.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­rax-maas/­blueflood/­wikiwww.ehcache.org/­documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docs
DeveloperRackspaceTerracotta Inc, owned by Software AGHazelcast
Initial release2019201320092008
Current release3.10.0, March 20223.4, August 20195.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available
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 languageJavaJavaGoJava
Server operating systemshostedLinux
OS X
All OS with a Java VMFreeBSD
Linux
Windows infoexperimental
All OS with a Java VM
Data schemeschema-freepredefined schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononoyes infothe object must implement a serialization strategy
Secondary indexesyesnononoyes
SQL infoSupport of SQLnonononoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HTTP RESTJCachegRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnonononoyes infoEvent Listeners, Executor Services
Triggersnonoyes infoCache Event Listenersyes, watching key changesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factor infobased on Cassandrayes infoby using Terracotta ServerUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoReplicated Map
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Tunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyes infosupports JTA and can work as an XA resourcenoone or two-phase-commit; repeatable reads; read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users and rolesnononoRole-based access control

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More resources
Amazon DocumentDBBluefloodEhcacheetcdHazelcast
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