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DBMS > GigaSpaces vs. Google Cloud Bigtable vs. ObjectBox vs. OpenMLDB

System Properties Comparison GigaSpaces vs. Google Cloud Bigtable vs. ObjectBox vs. OpenMLDB

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonObjectBox  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGoogle'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 MobileAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Wide column store
Object oriented DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitewww.gigaspaces.comcloud.google.com/­bigtableobjectbox.ioopenmldb.ai
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­bigtable/­docsdocs.objectbox.ioopenmldb.ai/­docs/­zh/­main
DeveloperGigaspaces TechnologiesGoogleObjectBox Limited4 Paradigm Inc.
Initial release2000201520172020
Current release15.5, September 20202024-2 February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC and C++C++, Java, Scala
Server operating systemsLinux
macOS
Solaris
Windows
hostedAndroid
iOS
Linux
macOS
Windows
Linux
Data schemeschema-freeschema-freeyesFixed schema
Typing infopredefined data types such as float or dateyesnoyesyes
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.no infoXML can be used for describing objects metadatanonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnonoyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Proprietary native APIJDBC
SQLAlchemy
Supported programming languages.Net
C++
Java
Python
Scala
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++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresyesnonono
Triggersyes, event driven architecturenonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Internal replication in Colossus, and regional replication between two clusters in different zonesonline/offline synchronization between client and serverSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDno
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.yesnonoyes
User concepts infoAccess controlRole-based access controlAccess 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
GigaSpacesGoogle Cloud BigtableObjectBoxOpenMLDB
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More resources
GigaSpacesGoogle Cloud BigtableObjectBoxOpenMLDB
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