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DBMS > Amazon DocumentDB vs. Fauna vs. IBM Db2 Event Store vs. Transwarp StellarDB

System Properties Comparison Amazon DocumentDB vs. Fauna vs. IBM Db2 Event Store vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Distributed Event Store optimized for Internet of Things use casesA distributed graph DBMS built for enterprise-level graph applications
Primary database modelDocument storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Event Store
Time Series DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websiteaws.amazon.com/­documentdbfauna.comwww.ibm.com/­products/­db2-event-storewww.transwarp.cn/­en/­product/­stellardb
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.fauna.comwww.ibm.com/­docs/­en/­db2-event-store
DeveloperFauna, Inc.IBMTranswarp
Initial release201920142017
Current release2.0
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC and C++
Server operating systemshostedhostedLinux infoLinux, macOS, Windows for the developer addition
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesyesno
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
OpenCypher
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnouser defined functionsyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoconsistent hashingShardinghorizontal 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 replicationActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
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 rolesIdentity management, authentication, and access controlfine grained access rights according to SQL-standardyes

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More resources
Amazon DocumentDBFauna infopreviously named FaunaDBIBM Db2 Event StoreTranswarp StellarDB
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