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DBMS > Amazon DocumentDB vs. Geode vs. Hypertable vs. Memgraph

System Properties Comparison Amazon DocumentDB vs. Geode vs. Hypertable vs. Memgraph

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeode  Xexclude from comparisonHypertable  Xexclude from comparisonMemgraph  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn open source BigTable implementation based on distributed file systems such as HadoopAn open source graph database built for real-time streaming and compatible with Neo4j
Primary database modelDocument storeKey-value storeWide column storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.92
Rank#131  Overall
#23  Key-value stores
Score3.02
Rank#98  Overall
#8  Graph DBMS
Websiteaws.amazon.com/­documentdbgeode.apache.orgmemgraph.com
Technical documentationaws.amazon.com/­documentdb/­resourcesgeode.apache.org/­docsmemgraph.com/­docs
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Hypertable Inc.Memgraph Ltd
Initial release2019200220092017
Current release1.1, February 20170.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSL 1.1; commercial license for enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C and C++
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeschema-freeschema-freeschema-freeschema-free and schema-optional
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonono
Secondary indexesyesnorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnoSQL-like query language (OQL)nono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java Client API
Memcached protocol
RESTful HTTP API
C++ API
Thrift
Bolt protocol
Cypher query language
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infodynamic graph partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationselectable replication factor on file system levelMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes, on a single nodenoACID infowith snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights per client and object definablenoUsers, roles and permissions
More information provided by the system vendor
Amazon DocumentDBGeodeHypertableMemgraph
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
Amazon DocumentDBGeodeHypertableMemgraph
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