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DBMS > GBase vs. GreptimeDB vs. Spark SQL

System Properties Comparison GBase vs. GreptimeDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGreptimeDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.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 modelRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.gbase.cngreptime.comspark.apache.org/­sql
Technical documentationdocs.greptime.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperGeneral Data Technology Co., Ltd.Greptime Inc.Apache Software Foundation
Initial release200420222014
Current releaseGBase 8a, GBase 8s, GBase 8c3.5.0 ( 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

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Implementation languageC, Java, PythonRustScala
Server operating systemsLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesschema-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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLStandard with numerous extensionsyesSQL-like DML and DDL statements
APIs and other access methodsADO.NET
C API
JDBC
ODBC
gRPC
HTTP API
JDBC
JDBC
ODBC
Supported programming languagesC#C++
Erlang
Go
Java
JavaScript
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsPythonno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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 controlyesSimple rights management via user accountsno
More information provided by the system vendor
GBaseGreptimeDBSpark 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...
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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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GBaseGreptimeDBSpark SQL
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