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DBMS > Badger vs. eXtremeDB vs. FatDB vs. GreptimeDB

System Properties Comparison Badger vs. eXtremeDB vs. FatDB vs. GreptimeDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFatDB  Xexclude from comparisonGreptimeDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Natively in-memory DBMS with options for persistency, high-availability and clusteringA .NET NoSQL DBMS that can integrate with and extend SQL Server.An open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Document store
Key-value store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.mcobject.comgreptime.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.mcobject.com/­docs/­extremedb.htmdocs.greptime.com
DeveloperDGraph LabsMcObjectFatCloudGreptime Inc.
Initial release2017200120122022
Current release8.2, 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0
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 languageGoC and C++C#Rust
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
WindowsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyesschema-freeschema-free, schema definition possible
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.nono infosupport of XML interfaces availableno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLno infoVia inetgration in SQL Serveryes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC
HTTP API
JDBC
Supported programming languagesGo.Net
C
C#
C++
Java
Lua
Python
Scala
C#C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresnoyesyes infovia applicationsPython
Triggersnoyes infoby defining eventsyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyes
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsSimple rights management via user accounts
More information provided by the system vendor
BadgereXtremeDBFatDBGreptimeDB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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GreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
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For IoT industries, GreptimeDB can seamless integrate with message queues and other...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
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Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
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Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
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GreptimeDB has garnered global recognition by topping GitHub trends following its...
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Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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BadgereXtremeDBFatDBGreptimeDB
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