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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. GigaSpaces

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. GigaSpaces

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelDocument storeRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orgwww.gigaspaces.com
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdocs.gigaspaces.com/­latest/­landing.html
DeveloperApache Software FoundationGigaspaces Technologies
Initial release201920142000
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201915.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .Net
Server operating systemshostedLinux
Unix
Windows
Linux
macOS
Solaris
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 infoXML can be used for describing objects metadata
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-99 for query and DML statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnonoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole-based access control

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More resources
Amazon DocumentDBApache PhoenixGigaSpaces
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