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DBMS > eXtremeDB vs. Geode vs. GreptimeDB vs. mSQL

System Properties Comparison eXtremeDB vs. Geode vs. GreptimeDB vs. mSQL

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGeode  Xexclude from comparisonGreptimeDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn open source Time Series DBMS built for increased scalability, high performance and efficiencymSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Key-value storeTime Series DBMSRelational 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
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitewww.mcobject.comgeode.apache.orggreptime.comhughestech.com.au/­products/­msql
Technical documentationwww.mcobject.com/­docs/­extremedb.htmgeode.apache.org/­docsdocs.greptime.com
DeveloperMcObjectOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Greptime Inc.Hughes Technologies
Initial release2001200220221994
Current release8.2, 20211.1, February 20174.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache Version 2.0commercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaRustC
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java VM infothe JDK (8 or later) is also requiredAndroid
Docker
FreeBSD
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeschema-free, schema definition possibleyes
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 availablenonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like query language (OQL)yesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
gRPC
HTTP API
JDBC
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Erlang
Go
Java
JavaScript
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsPythonno
Triggersyes infoby defining eventsyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingShardingnone
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
Multi-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesno
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.yesyesno
User concepts infoAccess controlAccess rights per client and object definableSimple rights management via user accountsno
More information provided by the system vendor
eXtremeDBGeodeGreptimeDBmSQL infoMini SQL
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...
» more
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...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Greptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
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
eXtremeDBGeodeGreptimeDBmSQL infoMini SQL
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