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DBMS > BigObject vs. Google Cloud Datastore vs. ObjectBox vs. SpaceTime vs. Teradata

System Properties Comparison BigObject vs. Google Cloud Datastore vs. ObjectBox vs. SpaceTime vs. Teradata

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonObjectBox  Xexclude from comparisonSpaceTime  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformExtremely fast embedded database for small devices, IoT and MobileSpaceTime is a spatio-temporal DBMS with a focus on performance.A hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeObject oriented DBMSSpatial DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitebigobject.iocloud.google.com/­datastoreobjectbox.iowww.mireo.com/­spacetimewww.teradata.com
Technical documentationdocs.bigobject.iocloud.google.com/­datastore/­docsdocs.objectbox.iodocs.teradata.com
DeveloperBigObject, Inc.GoogleObjectBox LimitedMireoTeradata
Initial release20152008201720201984
Current releaseTeradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
hostedAndroid
iOS
Linux
macOS
Windows
Linuxhosted
Linux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes, details hereyesyesyes
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.nonononoyes
Secondary indexesyesyesyesnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (GQL)noA subset of ANSI SQL is implementedyes infoSQL 2016 + extensions
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Proprietary native APIRESTful HTTP API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C#
C++
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresLuausing Google App Enginenonoyes infoUDFs, stored procedures, table functions in parallel
TriggersnoCallbacks using the Google Apps Enginenonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneFixed-grid hypercubesSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication using Paxosonline/offline synchronization between client and serverReal-time block device replication (DRBD)Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infovia ReferenceProperties or Ancestor pathsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
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.yesnononoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectGoogle Cloud DatastoreObjectBoxSpaceTimeTeradata
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More resources
BigObjectGoogle Cloud DatastoreObjectBoxSpaceTimeTeradata
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