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DBMS > atoti vs. etcd vs. Linter vs. VictoriaMetrics

System Properties Comparison atoti vs. etcd vs. Linter vs. VictoriaMetrics

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonetcd  Xexclude from comparisonLinter  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A distributed reliable key-value storeRDBMS for high security requirementsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelObject oriented DBMSKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websiteatoti.ioetcd.io
github.com/­etcd-io/­etcd
linter.ruvictoriametrics.com
Technical documentationdocs.atoti.ioetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperActiveViamrelex.ruVictoriaMetrics
Initial release19902018
Current release3.4, August 2019v1.91, May 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0
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 languageJavaGoC and C++Go
Server operating systemsFreeBSD
Linux
Windows infoexperimental
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyes
Typing infopredefined data types such as float or datenoyes
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.nonono
Secondary indexesnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noyesno
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
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++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresPythonnoyes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnone
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 replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
atotietcdLinterVictoriaMetrics
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