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DBMS > Axibase vs. eXtremeDB vs. GreptimeDB vs. Postgres-XL

System Properties Comparison Axibase vs. eXtremeDB vs. GreptimeDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationNatively in-memory DBMS with options for persistency, high-availability and clusteringAn open source Time Series DBMS built for increased scalability, high performance and efficiencyBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelTime Series DBMSRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.mcobject.comgreptime.comwww.postgres-xl.org
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.greptime.comwww.postgres-xl.org/­documentation
DeveloperAxibase CorporationMcObjectGreptime Inc.
Initial release2013200120222014 infosince 2012, originally named StormDB
Current release155858.2, 202110 R1, October 2018
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialOpen Source infoApache Version 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++RustC
Server operating systemsLinuxAIX
HP-UX
Linux
macOS
Solaris
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Data schemeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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 infosupport of XML interfaces availablenoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infowith the option: eXtremeSQLyesyes infodistributed, parallel query execution
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC
HTTP API
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Erlang
Go
Java
JavaScript
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesyesPythonuser defined functions
Triggersyesyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning / shardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesno
User concepts infoAccess controlSimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
AxibaseeXtremeDBGreptimeDBPostgres-XL
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...
» more
- 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,...
» more
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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AxibaseeXtremeDBGreptimeDBPostgres-XL
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