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DBMS > eXtremeDB vs. FatDB vs. Google Cloud Firestore vs. GreptimeDB

System Properties Comparison eXtremeDB vs. FatDB vs. Google Cloud Firestore vs. GreptimeDB

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Firestore  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.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.An open source Time Series DBMS built for increased scalability, high performance and efficiency
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Document storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Websitewww.mcobject.comfirebase.google.com/­products/­firestoregreptime.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmfirebase.google.com/­docs/­firestoredocs.greptime.com
DeveloperMcObjectFatCloudGoogleGreptime Inc.
Initial release2001201220172022
Current release8.2, 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C#Rust
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
WindowshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Data schemeyesschema-freeschema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesyes
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 infosupport of XML interfaces availablenono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLno infoVia inetgration in SQL Servernoyes
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
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP API
JDBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresyesyes infovia applicationsyes, Firebase Rules & Cloud FunctionsPython
Triggersyes infoby defining eventsyes infovia applicationsyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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.yes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Simple rights management via user accounts
More information provided by the system vendor
eXtremeDBFatDBGoogle Cloud FirestoreGreptimeDB
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...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
GreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
eXtremeDBFatDBGoogle Cloud FirestoreGreptimeDB
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