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DBMS > FatDB vs. GreptimeDB vs. Spark SQL

System Properties Comparison FatDB vs. GreptimeDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonSpark SQL  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.An open source Time Series DBMS built for increased scalability, high performance and efficiencySpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegreptime.comspark.apache.org/­sql
Technical documentationdocs.greptime.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudGreptime Inc.Apache Software Foundation
Initial release201220222014
Current release3.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#RustScala
Server operating systemsWindowsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyes
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 ServeryesSQL-like DML and DDL statements
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC
HTTP API
JDBC
JDBC
ODBC
Supported programming languagesC#C++
Erlang
Go
Java
JavaScript
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsPythonno
Triggersyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno infoCan implement custom security layer via applicationsSimple rights management via user accountsno
More information provided by the system vendor
FatDBGreptimeDBSpark SQL
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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FatDBGreptimeDBSpark SQL
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