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DBMS > eXtremeDB vs. GreptimeDB vs. RavenDB vs. SWC-DB

System Properties Comparison eXtremeDB vs. GreptimeDB vs. RavenDB vs. SWC-DB

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringAn open source Time Series DBMS built for increased scalability, high performance and efficiencyOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSDocument storeWide column store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Time Series 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
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.mcobject.comgreptime.comravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.mcobject.com/­docs/­extremedb.htmdocs.greptime.comravendb.net/­docs
DeveloperMcObjectGreptime Inc.Hibernating RhinosAlex Kashirin
Initial release2001202220102020
Current release8.2, 20215.4, July 20220.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3
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++RustC#C++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeyesschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 availablenono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLyesSQL-like query language (RQL)SQL-like query language
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC
HTTP API
JDBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Erlang
Go
Java
JavaScript
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresyesPythonyesno
Triggersyes infoby defining eventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingShardingSharding
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 replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
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 accountsAuthorization levels configured per client per database
More information provided by the system vendor
eXtremeDBGreptimeDBRavenDBSWC-DB infoSuper Wide Column Database
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
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...
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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...
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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
eXtremeDBGreptimeDBRavenDBSWC-DB infoSuper Wide Column Database
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