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DBMS > FatDB vs. Google BigQuery vs. OpenQM vs. Teradata Aster

System Properties Comparison FatDB vs. Google BigQuery vs. OpenQM vs. Teradata Aster

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTeradata Aster  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Large scale data warehouse service with append-only tablesQpenQM is a high-performance, self-tuning, multi-value DBMSPlatform for big data analytics on multistructured data sources and types
Primary database modelDocument store
Key-value store
Relational DBMSMultivalue DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score52.67
Rank#19  Overall
#13  Relational DBMS
Score0.28
Rank#291  Overall
#10  Multivalue DBMS
Websitecloud.google.com/­bigquerywww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qm
Technical documentationcloud.google.com/­bigquery/­docs
DeveloperFatCloudGoogleRocket Software, originally Martin PhillipsTeradata
Initial release2012201019932005
Current release3.4-12
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#
Server operating systemsWindowshostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
Data schemeschema-freeyesyes infowith some exceptionsFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.noyesyes infoin Aster File Store
Secondary indexesyesnoyesyes
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryesnoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
.Net
Basic
C
Java
Objective C
PHP
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functions infoin JavaScriptyesR packages
Triggersyes infovia applicationsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoSince BigQuery is designed for querying dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights can be defined down to the item levelfine grained access rights according to SQL-standard

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More resources
FatDBGoogle BigQueryOpenQM infoalso called QMTeradata Aster
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