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DBMS > 4D vs. Bangdb vs. Google Cloud Bigtable vs. H2 vs. ObjectBox

System Properties Comparison 4D vs. Bangdb vs. Google Cloud Bigtable vs. H2 vs. ObjectBox

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBangdb  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemConverged and high performance database for device data, events, time series, document and graphGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Key-value store
Wide column store
Relational DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsSpatial DBMSSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Websitewww.4d.combangdb.comcloud.google.com/­bigtablewww.h2database.comgithub.com/­objectbox
objectbox.io
Technical documentationdeveloper.4d.comdocs.bangdb.comcloud.google.com/­bigtable/­docswww.h2database.com/­html/­main.htmldocs.objectbox.io
Developer4D, IncSachin Sinha, BangDBGoogleThomas MuellerObjectBox Limited
Initial release19842012201520052017
Current releasev20, April 2023BangDB 2.0, October 20212.2.220, July 20234.0 (May 2024)
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Bindings are released under Apache 2.0 infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC and C++
Server operating systemsOS X
Windows
LinuxhostedAll OS with a Java VMAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsnoyesyes, plus "flex" map-like types
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.yesnononono
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL like support with command line toolnoyesno
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Proprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Proprietary native API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaC
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresyesnonoJava Stored Procedures and User-Defined Functionsno
Triggersyesyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor, Knob for CAP (enterprise version only)Internal replication in Colossus, and regional replication between two clusters in different zonesWith clustering: 2 database servers on different computers operate on identical copies of a databaseData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modenoyesno
User concepts infoAccess controlUsers and groupsyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes
More information provided by the system vendor
4D infoformer name: 4th DimensionBangdbGoogle Cloud BigtableH2ObjectBox
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More resources
4D infoformer name: 4th DimensionBangdbGoogle Cloud BigtableH2ObjectBox
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