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DBMS > Amazon DocumentDB vs. GBase vs. InfinityDB vs. Microsoft Azure Table Storage vs. TimesTen

System Properties Comparison Amazon DocumentDB vs. GBase vs. InfinityDB vs. Microsoft Azure Table Storage vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGBase  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A Java embedded Key-Value Store which extends the Java Map interfaceA Wide Column Store for rapid development using massive semi-structured datasetsIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSKey-value storeWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteaws.amazon.com/­documentdbwww.gbase.cnboilerbay.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­documentdb/­resourcesboilerbay.com/­infinitydb/­manualdocs.oracle.com/­database/­timesten-18.1
DeveloperGeneral Data Technology Co., Ltd.Boiler Bay Inc.MicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20192004200220121998
Current releaseGBase 8a, GBase 8s, GBase 8c4.011 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJava
Server operating systemshostedLinuxAll OS with a Java VMhostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.noyesnonono
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes
SQL infoSupport of SQLnoStandard with numerous extensionsnonoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
C API
JDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnouser defined functionsnonoPL/SQL
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningnoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno infomanual creation possible, using inversions based on multi-value capabilitynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users and rolesyesnoAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBGBaseInfinityDBMicrosoft Azure Table StorageTimesTen
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