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DBMS > etcd vs. eXtremeDB vs. GreptimeDB vs. Hive

System Properties Comparison etcd vs. eXtremeDB vs. GreptimeDB vs. Hive

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHive  Xexclude from comparison
DescriptionA distributed reliable key-value storeNatively in-memory DBMS with options for persistency, high-availability and clusteringAn open source Time Series DBMS built for increased scalability, high performance and efficiencydata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelKey-value storeRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.mcobject.comgreptime.comhive.apache.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.mcobject.com/­docs/­extremedb.htmdocs.greptime.comcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperMcObjectGreptime Inc.Apache Software Foundation infoinitially developed by Facebook
Initial release200120222012
Current release3.4, August 20198.2, 20213.1.3, April 2022
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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++RustJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
HP-UX
Linux
macOS
Solaris
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
All OS with a Java VM
Data schemeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyesyesyes
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 availableno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLyesSQL-like DML and DDL statements
APIs and other access methodsgRPC
JSON over HTTP
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
gRPC
HTTP API
JDBC
JDBC
ODBC
Thrift
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
C++
Erlang
Go
Java
JavaScript
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoyesPythonyes infouser defined functions and integration of map-reduce
Triggersyes, watching key changesyes infoby defining eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Active Replication Fabricā„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.noyes
User concepts infoAccess controlnoSimple rights management via user accountsAccess rights for users, groups and roles
More information provided by the system vendor
etcdeXtremeDBGreptimeDBHive
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...
» more
- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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etcdeXtremeDBGreptimeDBHive
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