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DBMS > Cubrid vs. Google Cloud Spanner vs. GreptimeDB vs. Solr

System Properties Comparison Cubrid vs. Google Cloud Spanner vs. GreptimeDB vs. Solr

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGreptimeDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.An open source Time Series DBMS built for increased scalability, high performance and efficiencyA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitecubrid.com (korean)
cubrid.org (english)
cloud.google.com/­spannergreptime.comsolr.apache.org
Technical documentationcubrid.org/­manualscloud.google.com/­spanner/­docsdocs.greptime.comsolr.apache.org/­resources.html
DeveloperCUBRID Corporation, CUBRID FoundationGoogleGreptime Inc.Apache Software Foundation
Initial release2008201720222006
Current release11.0, January 20219.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaRustJava
Server operating systemsLinux
Windows
hostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesschema-free, schema definition possibleyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nononoyes
Secondary indexesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyes infoQuery statements complying to ANSI 2011yesSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
gRPC
HTTP API
JDBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
C++
Erlang
Go
Java
JavaScript
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresnoPythonJava plugins
Triggersyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Simple rights management via user accountsyes
More information provided by the system vendor
CubridGoogle Cloud SpannerGreptimeDBSolr
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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More resources
CubridGoogle Cloud SpannerGreptimeDBSolr
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