DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > FatDB vs. ObjectBox vs. Trafodion vs. YottaDB

System Properties Comparison FatDB vs. ObjectBox vs. Trafodion vs. YottaDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonObjectBox  Xexclude from comparisonTrafodion  Xexclude from comparisonYottaDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Extremely fast embedded database for small devices, IoT and MobileTransactional SQL-on-Hadoop DBMSA fast and solid embedded Key-value store
Primary database modelDocument store
Key-value store
Object oriented DBMSRelational DBMSKey-value store
Secondary database modelsTime Series DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websiteobjectbox.iotrafodion.apache.orgyottadb.com
Technical documentationdocs.objectbox.iotrafodion.apache.org/­documentation.htmlyottadb.com/­resources/­documentation
DeveloperFatCloudObjectBox LimitedApache Software Foundation, originally developed by HPYottaDB, LLC
Initial release2012201720142001
Current release2.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C and C++C++, JavaC
Server operating systemsWindowsAndroid
iOS
Linux
macOS
Windows
LinuxDocker
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyesby using the Octo plugin
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Proprietary native APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
All languages supporting JDBC/ODBC/ADO.NetC
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infovia applicationsnoJava Stored Procedures
Triggersyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoronline/offline synchronization between client and serveryes, via HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.nonoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsyesfine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms
More information provided by the system vendor
FatDBObjectBoxTrafodionYottaDB
News

The on-device Vector Database for Android and Java
29 May 2024

Vector search: making sense of search queries
29 May 2024

Python on-device Vector and Object Database for Local AI
28 May 2024

Evolution of search: traditional vs vector search
23 May 2024

On-device Vector Database for Dart/Flutter
21 May 2024

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
FatDBObjectBoxTrafodionYottaDB
Recent citations in the news

ObjectBox Raises $2M in Funding
4 December 2018, FinSMEs

provided by Google News

Evaluating HTAP Databases for Machine Learning Applications
2 November 2016, KDnuggets

Low-latency, distributed database architectures are critical for emerging fog applications
7 April 2022, Embedded Computing Design

Apache Software Foundation Releases its 2019 Fiscal Year Report
17 August 2019, Open Source For You

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here