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DBMS > FatDB vs. GBase vs. Google Cloud Bigtable vs. ObjectBox vs. Teradata

System Properties Comparison FatDB vs. GBase vs. Google Cloud Bigtable vs. ObjectBox vs. Teradata

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Extremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store
Key-value store
Relational DBMSKey-value store
Wide column store
Object oriented DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitewww.gbase.cncloud.google.com/­bigtableobjectbox.iowww.teradata.com
Technical documentationcloud.google.com/­bigtable/­docsdocs.objectbox.iodocs.teradata.com
DeveloperFatCloudGeneral Data Technology Co., Ltd.GoogleObjectBox LimitedTeradata
Initial release20122004201520171984
Current releaseGBase 8a, GBase 8s, GBase 8cTeradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C, Java, PythonC and C++
Server operating systemsWindowsLinuxhostedAndroid
iOS
Linux
macOS
Windows
hosted
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yesnonoyes
Secondary indexesyesyesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLno infoVia inetgration in SQL ServerStandard with numerous extensionsnonoyes infoSQL 2016 + extensions
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#C#C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functionsnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersyes infovia applicationsyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesInternal replication in Colossus, and regional replication between two clusters in different zonesonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesfine grained access rights according to SQL-standard
More information provided by the system vendor
FatDBGBaseGoogle Cloud BigtableObjectBoxTeradata
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FatDBGBaseGoogle Cloud BigtableObjectBoxTeradata
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