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DBMS > Google Cloud Bigtable vs. ObjectBox vs. TigerGraph vs. TimesTen

System Properties Comparison Google Cloud Bigtable vs. ObjectBox vs. TigerGraph vs. TimesTen

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonObjectBox  Xexclude from comparisonTigerGraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionGoogle'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 complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeIn-Memory RDBMS compatible to Oracle
Primary database modelWide column storeObject oriented DBMSGraph DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.63
Rank#89  Overall
#8  Wide column stores
Score0.94
Rank#182  Overall
#7  Object oriented DBMS
Score2.02
Rank#120  Overall
#9  Graph DBMS
Score1.79
Rank#129  Overall
#64  Relational DBMS
Websitecloud.google.com/­bigtableobjectbox.iowww.tigergraph.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationcloud.google.com/­bigtable/­docsdocs.objectbox.iodocs.tigergraph.comdocs.oracle.com/­database/­timesten-18.1
DeveloperGoogleObjectBox LimitedOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2015201720171998
Current release11 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
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 systemshostedAndroid
iOS
Linux
macOS
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononono
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoSQL-like query language (GSQL)yes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary native APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
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++
Java
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoyesPL/SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesInternal 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 methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nononoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud BigtableObjectBoxTigerGraphTimesTen
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersFour out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Market metricsANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsTry TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more
News

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20 December 2021

Beginner C++ Database Tutorial: How to use ObjectBox
24 November 2021

Beginner C++ tutorial: ObjectBox installation
26 October 2021

ObjectBox Database Java / Kotlin 3.0 + CRUD Benchmarks
19 October 2021

Building a Business on Open Source
1 July 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Google Cloud BigtableObjectBoxTigerGraphTimesTen
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