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DBMS > etcd vs. Kdb vs. RRDtool vs. searchxml vs. TerarkDB

System Properties Comparison etcd vs. Kdb vs. RRDtool vs. searchxml vs. TerarkDB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonKdb  Xexclude from comparisonRRDtool  Xexclude from comparisonsearchxml  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeHigh performance Time Series DBMSIndustry 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.DBMS for structured and unstructured content wrapped with an application serverA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeTime Series DBMS
Vector DBMS
Time Series DBMSNative XML DBMS
Search engine
Key-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score0.08
Rank#367  Overall
#56  Key-value stores
Websiteetcd.io
github.com/­etcd-io/­etcd
kx.comoss.oetiker.ch/­rrdtoolwww.searchxml.net/­category/­productsgithub.com/­bytedance/­terarkdb
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
code.kx.comoss.oetiker.ch/­rrdtool/­docwww.searchxml.net/­support/­handoutsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperKx Systems, a division of First Derivatives plcTobias Oetikerinformationpartners gmbhByteDance, originally Terark
Initial release2000 infokdb was released 2000, kdb+ in 2003199920152016
Current release3.4, August 20193.6, May 20181.8.0, 20221.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree 32-bit versionOpen Source infoGPL V2 and FLOSScommercialcommercial inforestricted open source version available
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 languageGoqC infoImplementations in Java (e.g. RRD4J) and C# availableC++C++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Solaris
Windows
HP-UX
Linux
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesNumeric data onlyyesno
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.noyesno infoExporting into and restoring from XML files possibleyesno
Secondary indexesnoyes infotable attribute 'grouped'noyesno
SQL infoSupport of SQLnoSQL-like query language (q)nonono
APIs and other access methodsgRPC
JSON over HTTP
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
in-process shared library
Pipes
RESTful HTTP API
WebDAV
XQuery
XSLT
C++ API
Java 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#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
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
C++ infomost other programming languages supported via APIsC++
Java
Server-side scripts infoStored proceduresnouser defined functionsnoyes infoon the application serverno
Triggersyes, watching key changesyes infowith viewsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenonenone
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 replicationnoneyes infosychronisation to multiple collectionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononomultiple readers, single writerno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoby using the rrdcached daemonyesyes
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.noyesyesnoyes
User concepts infoAccess controlnorights management via user accountsnoDomain, group and role-based access control at the document level and for application servicesno
More information provided by the system vendor
etcdKdbRRDtoolsearchxmlTerarkDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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etcdKdbRRDtoolsearchxmlTerarkDB
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