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DBMS > Cubrid vs. Databricks vs. GreptimeDB vs. Lovefield

System Properties Comparison Cubrid vs. Databricks vs. GreptimeDB vs. Lovefield

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatabricks  Xexclude from comparisonGreptimeDB  Xexclude from comparisonLovefield  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.An open source Time Series DBMS built for increased scalability, high performance and efficiencyEmbeddable relational database for web apps written in pure JavaScript
Primary database modelRelational DBMSDocument store
Relational DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.databricks.comgreptime.comgoogle.github.io/­lovefield
Technical documentationcubrid.org/­manualsdocs.databricks.comdocs.greptime.comgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperCUBRID Corporation, CUBRID FoundationDatabricksGreptime Inc.Google
Initial release2008201320222014
Current release11.0, January 20212.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaRustJavaScript
Server operating systemsLinux
Windows
hostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyeswith Databricks SQLyesSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP API
JDBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
R
Scala
C++
Erlang
Go
Java
JavaScript
JavaScript
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions and aggregatesPythonno
TriggersyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDB
User concepts infoAccess controlfine grained access rights according to SQL-standardSimple rights management via user accountsno
More information provided by the system vendor
CubridDatabricksGreptimeDBLovefield
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
GreptimeDB 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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More resources
CubridDatabricksGreptimeDBLovefield
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