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DBMS > etcd vs. Hive vs. RRDtool vs. WakandaDB

System Properties Comparison etcd vs. Hive vs. RRDtool vs. WakandaDB

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHive  Xexclude from comparisonRRDtool  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionA distributed reliable key-value storedata warehouse software for querying and managing large distributed datasets, built on HadoopIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeRelational DBMSTime Series DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
hive.apache.orgoss.oetiker.ch/­rrdtoolwakanda.github.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
cwiki.apache.org/­confluence/­display/­Hive/­Homeoss.oetiker.ch/­rrdtool/­docwakanda.github.io/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookTobias OetikerWakanda SAS
Initial release201219992012
Current release3.4, August 20193.1.3, April 20221.8.0, 20222.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2Open Source infoGPL V2 and FLOSSOpen Source infoAGPLv3, extended commercial license available
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 languageGoJavaC infoImplementations in Java (e.g. RRD4J) and C# availableC++, JavaScript
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMHP-UX
Linux
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesNumeric data onlyyes
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 infoExporting into and restoring from XML files possibleno
Secondary indexesnoyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsgRPC
JSON over HTTP
JDBC
ODBC
Thrift
in-process shared library
Pipes
RESTful HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
PHP
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyes
Triggersyes, watching key changesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyes
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.noyesno
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoyes

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etcdHiveRRDtoolWakandaDB
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