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DBMS > etcd vs. Greenplum vs. GreptimeDB vs. Riak TS

System Properties Comparison etcd vs. Greenplum vs. GreptimeDB vs. Riak TS

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGreenplum  Xexclude from comparisonGreptimeDB  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionA distributed reliable key-value storeAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.An open source Time Series DBMS built for increased scalability, high performance and efficiencyRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelKey-value storeRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
greenplum.orggreptime.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.greenplum.orgdocs.greptime.comwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperPivotal Software Inc.Greptime Inc.Open Source, formerly Basho Technologies
Initial release200520222015
Current release3.4, August 20197.0.0, September 20233.0.0, September 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0Open Source
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 languageGoRustErlang
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Data schemeschema-freeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.noyes infosince Version 4.2nono
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLnoyesyesyes, limited
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
gRPC
HTTP API
JDBC
HTTP API
Native Erlang Interface
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
Java
Perl
Python
R
C++
Erlang
Go
Java
JavaScript
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresnoyesPythonErlang
Triggersyes, watching key changesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.nono
User concepts infoAccess controlnofine grained access rights according to SQL-standardSimple rights management via user accountsno
More information provided by the system vendor
etcdGreenplumGreptimeDBRiak TS
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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etcdGreenplumGreptimeDBRiak TS
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