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DBMS > FatDB vs. ObjectBox vs. OpenTSDB vs. Transwarp StellarDB

System Properties Comparison FatDB vs. ObjectBox vs. OpenTSDB vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonObjectBox  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsScalable Time Series DBMS based on HBaseA distributed graph DBMS built for enterprise-level graph applications
Primary database modelDocument store
Key-value store
Object oriented DBMS
Vector DBMS
Time Series DBMSGraph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
Websitegithub.com/­objectbox
objectbox.io
opentsdb.netwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.objectbox.ioopentsdb.net/­docs/­build/­html/­index.html
DeveloperFatCloudObjectBox Limitedcurrently maintained by Yahoo and other contributorsTranswarp
Initial release201220172011
Current release4.0 (May 2024)
License infoCommercial or Open SourcecommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoLGPLcommercial
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++Java
Server operating systemsWindowsAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesnumeric data for metrics, strings for tags
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL ServernonoSQL-like query language
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Proprietary native APIHTTP API
Telnet API
OpenCypher
Supported programming languagesC#C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsnono
Triggersyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorData sync between devices allowing occasional connected databases to work completely offlineselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.nono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsyesnoyes
More information provided by the system vendor
FatDBObjectBoxOpenTSDBTranswarp StellarDB
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18 June 2024

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More resources
FatDBObjectBoxOpenTSDBTranswarp StellarDB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

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Recent citations in the news

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

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5 August 2016, KDnuggets

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provided by Google News



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