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DBMS > etcd vs. GridDB vs. OpenEdge vs. Prometheus vs. SiriDB

System Properties Comparison etcd vs. GridDB vs. OpenEdge vs. Prometheus vs. SiriDB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGridDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonPrometheus  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeScalable in-memory time series database optimized for IoT and Big DataApplication development environment with integrated database management systemOpen-source Time Series DBMS and monitoring systemOpen Source Time Series DBMS
Primary database modelKey-value storeTime Series DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score2.09
Rank#120  Overall
#10  Time Series DBMS
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
griddb.netwww.progress.com/­openedgeprometheus.iosiridb.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.griddb.netdocumentation.progress.com/­output/­ua/­OpenEdge_latestprometheus.io/­docsdocs.siridb.com
DeveloperToshiba CorporationProgress Software CorporationCesbit
Initial release2013198420152017
Current release3.4, August 20195.1, August 2022OpenEdge 12.2, March 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercialOpen Source infoApache 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++GoC
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyes infonumerical, string, blob, geometry, boolean, timestampyesNumeric data onlyyes infoNumeric data
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.nonoyesno infoImport of XML data possibleno
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL92, SQL-like TQL (Toshiba Query Language)yes infoclose to SQL 92nono
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP/JSON APIHTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Progress proprietary ABL (Advanced Business Language).Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyesnono
Triggersyes, watching key changesyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infosince Version 11.4ShardingSharding
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 replicationSource-replica replicationyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistencynone
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID at container levelACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnonoyes
User concepts infoAccess controlnoAccess rights for users can be defined per databaseUsers and groupsnosimple rights management via user accounts
More information provided by the system vendor
etcdGridDBOpenEdgePrometheusSiriDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
etcdGridDBOpenEdgePrometheusSiriDB
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