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DBMS > Amazon DocumentDB vs. BigObject vs. Geode vs. Hawkular Metrics vs. OrigoDB

System Properties Comparison Amazon DocumentDB vs. BigObject vs. Geode vs. Hawkular Metrics vs. OrigoDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigObject  Xexclude from comparisonGeode  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAnalytic DBMS for real-time computations and queriesGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A fully ACID in-memory object graph database
Primary database modelDocument storeRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeTime Series DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websiteaws.amazon.com/­documentdbbigobject.iogeode.apache.orgwww.hawkular.orgorigodb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.bigobject.iogeode.apache.org/­docswww.hawkular.org/­hawkular-metrics/­docs/­user-guideorigodb.com/­docs
DeveloperBigObject, Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Community supported by Red HatRobert Friberg et al
Initial release20192015200220142009 infounder the name LiveDB
Current release1.1, February 2017
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemshostedLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesUser defined using .NET types and collections
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.nonononono infocan be achieved using .NET
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (OQL)nono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)fluentd
ODBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
HTTP REST.NET Client API
HTTP API
LINQ
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
Python
Ruby
.Net
Server-side scripts infoStored proceduresnoLuauser defined functionsnoyes
Triggersnonoyes infoCache Event Listenersyes infovia Hawkular Alertingyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infobased on Cassandrahorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneMulti-source replicationselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes infoautomatically between fact table and dimension tablesnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyes, on a single nodenoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights per client and object definablenoRole based authorization

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More resources
Amazon DocumentDBBigObjectGeodeHawkular MetricsOrigoDB
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